[lttng-dev] [PATCH babeltrace 2/2] Added Python interpreter version directives and reorganized example scripts
Mathieu Desnoyers
mathieu.desnoyers at efficios.com
Thu Jan 31 14:16:15 EST 2013
* Jérémie Galarneau (jeremie.galarneau at efficios.com) wrote:
>
> Signed-off-by: Jérémie Galarneau <jeremie.galarneau at efficios.com>
merged into bindings/python branch too.
Thanks,
Mathieu
> ---
> bindings/python/examples/babeltrace_and_lttng.py | 12 +-
> bindings/python/examples/eventcount.py | 84 -
> bindings/python/examples/eventcountlist.py | 83 -
> bindings/python/examples/events_per_cpu.py | 99 -
> bindings/python/examples/example-api-test.py | 11 +-
> bindings/python/examples/histogram.py | 139 --
> .../examples/output_format_modules/cairoplot.py | 2336 --------------------
> .../examples/output_format_modules/pprint_table.py | 37 -
> .../examples/output_format_modules/series.py | 1140 ----------
> bindings/python/examples/python2/eventcount.py | 85 +
> bindings/python/examples/python2/eventcountlist.py | 84 +
> bindings/python/examples/python2/events_per_cpu.py | 100 +
> bindings/python/examples/python2/histogram.py | 140 ++
> .../python2/output_format_modules/cairoplot.py | 2336 ++++++++++++++++++++
> .../python2/output_format_modules/pprint_table.py | 37 +
> .../python2/output_format_modules/series.py | 1140 ++++++++++
> bindings/python/examples/python2/softirqtimes.py | 154 ++
> .../python/examples/python2/syscalls_by_pid.py | 85 +
> bindings/python/examples/sched_switch.py | 11 +-
> bindings/python/examples/softirqtimes.py | 153 --
> bindings/python/examples/syscalls_by_pid.py | 84 -
> tests/tests-python.py | 1 +
> 22 files changed, 4183 insertions(+), 4168 deletions(-)
> mode change 100644 => 100755 bindings/python/examples/babeltrace_and_lttng.py
> delete mode 100644 bindings/python/examples/eventcount.py
> delete mode 100644 bindings/python/examples/eventcountlist.py
> delete mode 100644 bindings/python/examples/events_per_cpu.py
> mode change 100644 => 100755 bindings/python/examples/example-api-test.py
> delete mode 100644 bindings/python/examples/histogram.py
> delete mode 100644 bindings/python/examples/output_format_modules/cairoplot.py
> delete mode 100644 bindings/python/examples/output_format_modules/pprint_table.py
> delete mode 100644 bindings/python/examples/output_format_modules/series.py
> create mode 100755 bindings/python/examples/python2/eventcount.py
> create mode 100755 bindings/python/examples/python2/eventcountlist.py
> create mode 100755 bindings/python/examples/python2/events_per_cpu.py
> create mode 100755 bindings/python/examples/python2/histogram.py
> create mode 100644 bindings/python/examples/python2/output_format_modules/cairoplot.py
> create mode 100644 bindings/python/examples/python2/output_format_modules/pprint_table.py
> create mode 100644 bindings/python/examples/python2/output_format_modules/series.py
> create mode 100755 bindings/python/examples/python2/softirqtimes.py
> create mode 100755 bindings/python/examples/python2/syscalls_by_pid.py
> mode change 100644 => 100755 bindings/python/examples/sched_switch.py
> delete mode 100644 bindings/python/examples/softirqtimes.py
> delete mode 100644 bindings/python/examples/syscalls_by_pid.py
> mode change 100644 => 100755 tests/tests-python.py
>
> diff --git a/bindings/python/examples/babeltrace_and_lttng.py b/bindings/python/examples/babeltrace_and_lttng.py
> old mode 100644
> new mode 100755
> index cb44796..cfd611f
> --- a/bindings/python/examples/babeltrace_and_lttng.py
> +++ b/bindings/python/examples/babeltrace_and_lttng.py
> @@ -1,3 +1,4 @@
> +#!/usr/bin/env python3
> # babeltrace_and_lttng.py
> #
> # Babeltrace and LTTng example script
> @@ -59,18 +60,23 @@ ret = lttng.create(ses_name,trace_path)
> if ret < 0:
> raise LTTngError(lttng.strerror(ret))
>
> +domain = lttng.Domain()
> +domain.type = lttng.DOMAIN_KERNEL
> +
> han = None
> -han = lttng.Handle(ses_name, lttng.Domain())
> +han = lttng.Handle(ses_name, domain)
> if han is None:
> raise LTTngError("Handle not created")
>
>
> # Enabling all events
> -ret = lttng.enable_event(han, lttng.Event(), None)
> +event = lttng.Event()
> +event.type = lttng.EVENT_ALL
> +event.loglevel_type = lttng.EVENT_LOGLEVEL_ALL
> +ret = lttng.enable_event(han, event, None)
> if ret < 0:
> raise LTTngError(lttng.strerror(ret))
>
> -
> # Start, wait, stop
> ret = lttng.start(ses_name)
> if ret < 0:
> diff --git a/bindings/python/examples/eventcount.py b/bindings/python/examples/eventcount.py
> deleted file mode 100644
> index 5e96a43..0000000
> --- a/bindings/python/examples/eventcount.py
> +++ /dev/null
> @@ -1,84 +0,0 @@
> -# eventcount.py
> -#
> -# Babeltrace event count example script
> -#
> -# Copyright 2012 EfficiOS Inc.
> -#
> -# Author: Danny Serres <danny.serres at efficios.com>
> -#
> -# Permission is hereby granted, free of charge, to any person obtaining a copy
> -# of this software and associated documentation files (the "Software"), to deal
> -# in the Software without restriction, including without limitation the rights
> -# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> -# copies of the Software, and to permit persons to whom the Software is
> -# furnished to do so, subject to the following conditions:
> -#
> -# The above copyright notice and this permission notice shall be included in
> -# all copies or substantial portions of the Software.
> -
> -# The script prints a count of specified events and
> -# their related tid's in a given trace.
> -# The trace needs TID context (lttng add-context -k -t tid)
> -
> -import sys
> -from babeltrace import *
> -from output_format_modules.pprint_table import pprint_table as pprint
> -
> -if len(sys.argv) < 3:
> - raise TypeError("Usage: python eventcount.py event1 [event2 ...] path/to/trace")
> -
> -ctx = Context()
> -ret = ctx.add_trace(sys.argv[len(sys.argv)-1], "ctf")
> -if ret is None:
> - raise IOError("Error adding trace")
> -
> -counts = {}
> -
> -# Setting iterator
> -bp = IterPos(SEEK_BEGIN)
> -ctf_it = ctf.Iterator(ctx, bp)
> -
> -# Reading events
> -event = ctf_it.read_event()
> -while(event is not None):
> - for event_type in sys.argv[1:len(sys.argv)-1]:
> - if event_type == event.get_name():
> -
> - # Getting scope definition
> - sco = event.get_top_level_scope(ctf.scope.STREAM_EVENT_CONTEXT)
> - if sco is None:
> - print("ERROR: Cannot get definition scope for {}".format(
> - event.get_name()))
> - continue
> -
> - # Getting TID
> - tid_field = event.get_field(sco, "_tid")
> - tid = tid_field.get_int64()
> -
> - if ctf.field_error():
> - print("ERROR: Missing TID info for {}".format(
> - event.get_name()))
> - continue
> -
> - tmp = (tid, event.get_name())
> -
> - if tmp in counts:
> - counts[tmp] += 1
> - else:
> - counts[tmp] = 1
> -
> - # Next event
> - ret = ctf_it.next()
> - if ret < 0:
> - break
> - event = ctf_it.read_event()
> -
> -del ctf_it
> -
> -# Appending data to table for output
> -table = []
> -for item in counts:
> - table.append([item[0], item[1], counts[item]])
> -table = sorted(table)
> -table.insert(0,["TID", "EVENT", "COUNT"])
> -pprint(table, 2)
> diff --git a/bindings/python/examples/eventcountlist.py b/bindings/python/examples/eventcountlist.py
> deleted file mode 100644
> index 945a960..0000000
> --- a/bindings/python/examples/eventcountlist.py
> +++ /dev/null
> @@ -1,83 +0,0 @@
> -# eventcountlist.py
> -#
> -# Babeltrace event count list example script
> -#
> -# Copyright 2012 EfficiOS Inc.
> -#
> -# Author: Danny Serres <danny.serres at efficios.com>
> -#
> -# Permission is hereby granted, free of charge, to any person obtaining a copy
> -# of this software and associated documentation files (the "Software"), to deal
> -# in the Software without restriction, including without limitation the rights
> -# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> -# copies of the Software, and to permit persons to whom the Software is
> -# furnished to do so, subject to the following conditions:
> -#
> -# The above copyright notice and this permission notice shall be included in
> -# all copies or substantial portions of the Software.
> -
> -# The script prints a count and rate of events.
> -# It also outputs a bar graph of count per event, using the cairoplot module.
> -
> -import sys
> -from babeltrace import *
> -from output_format_modules import cairoplot
> -from output_format_modules.pprint_table import pprint_table as pprint
> -
> -# Check for path arg:
> -if len(sys.argv) < 2:
> - raise TypeError("Usage: python eventcountlist.py path/to/trace")
> -
> -ctx = Context()
> -ret = ctx.add_trace(sys.argv[1], "ctf")
> -if ret is None:
> - raise IOError("Error adding trace")
> -
> -# Events and their assossiated count
> -# will be stored as a dict:
> -events_count = {}
> -
> -# Setting iterator:
> -bp = IterPos(SEEK_BEGIN)
> -ctf_it = ctf.Iterator(ctx,bp)
> -
> -prev_event = None
> -event = ctf_it.read_event()
> -
> -start_time = event.get_timestamp()
> -
> -# Reading events:
> -while(event is not None):
> - if event.get_name() in events_count:
> - events_count[event.get_name()] += 1
> - else:
> - events_count[event.get_name()] = 1
> -
> - ret = ctf_it.next()
> - if ret < 0:
> - break
> - else:
> - prev_event = event
> - event = ctf_it.read_event()
> -
> -if event:
> - total_time = event.get_timestamp() - start_time
> -else:
> - total_time = prev_event.get_timestamp() - start_time
> -
> -del ctf_it
> -
> -# Printing encountered events with respective count and rate:
> -print("Total time: {} ns".format(total_time))
> -table = [["EVENT", "COUNT", "RATE (Hz)"]]
> -for item in sorted(events_count.iterkeys()):
> - tmp = [item, events_count[item],
> - events_count[item]/(total_time/1000000000.0)]
> - table.append(tmp)
> -pprint(table)
> -
> -# Exporting data as bar graph
> -cairoplot.vertical_bar_plot ( 'eventcountlist.svg', events_count, 50+85*len(events_count),
> - 800, border = 20, display_values = True, grid = True,
> - rounded_corners = True,
> - x_labels = sorted(events_count.keys()) )
> diff --git a/bindings/python/examples/events_per_cpu.py b/bindings/python/examples/events_per_cpu.py
> deleted file mode 100644
> index be497ec..0000000
> --- a/bindings/python/examples/events_per_cpu.py
> +++ /dev/null
> @@ -1,99 +0,0 @@
> -# events_per_cpu.py
> -#
> -# Babeltrace events per cpu example script
> -#
> -# Copyright 2012 EfficiOS Inc.
> -#
> -# Author: Danny Serres <danny.serres at efficios.com>
> -#
> -# Permission is hereby granted, free of charge, to any person obtaining a copy
> -# of this software and associated documentation files (the "Software"), to deal
> -# in the Software without restriction, including without limitation the rights
> -# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> -# copies of the Software, and to permit persons to whom the Software is
> -# furnished to do so, subject to the following conditions:
> -#
> -# The above copyright notice and this permission notice shall be included in
> -# all copies or substantial portions of the Software.
> -
> -# The script opens a trace and prints out CPU statistics
> -# for the given trace (event count per CPU, total active
> -# time and % of time processing events).
> -# It also outputs a .txt file showing each time interval
> -# (since the beginning of the trace) in which each CPU
> -# was active and the corresponding event.
> -
> -import sys, multiprocessing
> -from output_format_modules.pprint_table import pprint_table as pprint
> -from babeltrace import *
> -
> -if len(sys.argv) < 2:
> - raise TypeError("Usage: python events_per_cpu.py path/to/trace")
> -
> -# Adding trace
> -ctx = Context()
> -ret = ctx.add_trace(sys.argv[1], "ctf")
> -if ret is None:
> - raise IOError("Error adding trace")
> -
> -cpu_usage = []
> -nbEvents = 0
> -i = 0
> -while i < multiprocessing.cpu_count():
> - cpu_usage.append([])
> - i += 1
> -
> -# Setting iterator
> -bp = IterPos(SEEK_BEGIN)
> -ctf_it = ctf.Iterator(ctx, bp)
> -
> -# Reading events
> -event = ctf_it.read_event()
> -start_time = event.get_timestamp()
> -
> -while(event is not None):
> -
> - event_name = event.get_name()
> - ts = event.get_timestamp()
> -
> - # Getting cpu_id
> - scope = event.get_top_level_scope(ctf.scope.STREAM_PACKET_CONTEXT)
> - field = event.get_field(scope, "cpu_id")
> - cpu_id = field.get_uint64()
> - if ctf.field_error():
> - print("ERROR: Missing cpu_id info for {}".format(event.get_name()))
> - else:
> - cpu_usage[cpu_id].append( (int(ts), event_name) )
> - nbEvents += 1
> -
> - # Next Event
> - ret = ctf_it.next()
> - if ret < 0:
> - break
> - event = ctf_it.read_event()
> -
> -
> -# Outputting
> -table = []
> -output = open("events_per_cpu.txt", "wt")
> -output.write("(timestamp, event)\n")
> -
> -for cpu in range(len(cpu_usage)):
> - # Setting table
> - event_str = str(100.0 * len(cpu_usage[cpu]) / nbEvents) + '000'
> - # % is printed with 2 decimals
> - table.append([cpu, len(cpu_usage[cpu]), event_str[0:event_str.find('.') + 3] + ' %'])
> -
> - # Writing to file
> - output.write("\n\n\n----------------------\n")
> - output.write("CPU {}\n\n".format(cpu))
> - for event in cpu_usage[cpu]:
> - output.write(str(event) + '\n')
> -
> -# Printing table
> -table.insert(0, ["CPU ID", "EVENT COUNT", "TRACE EVENT %"])
> -pprint(table)
> -print("Total event count: {}".format(nbEvents))
> -print("Total trace time: {} ns".format(ts - start_time))
> -
> -output.close()
> diff --git a/bindings/python/examples/example-api-test.py b/bindings/python/examples/example-api-test.py
> old mode 100644
> new mode 100755
> index 104f2d5..fc59e24
> --- a/bindings/python/examples/example-api-test.py
> +++ b/bindings/python/examples/example-api-test.py
> @@ -1,18 +1,19 @@
> +#!/usr/bin/env python3
> # example_api_test.py
> -#
> +#
> # Babeltrace example script based on the Babeltrace API test script
> -#
> +#
> # Copyright 2012 EfficiOS Inc.
> -#
> +#
> # Author: Danny Serres <danny.serres at efficios.com>
> -#
> +#
> # Permission is hereby granted, free of charge, to any person obtaining a copy
> # of this software and associated documentation files (the "Software"), to deal
> # in the Software without restriction, including without limitation the rights
> # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> # copies of the Software, and to permit persons to whom the Software is
> # furnished to do so, subject to the following conditions:
> -#
> +#
> # The above copyright notice and this permission notice shall be included in
> # all copies or substantial portions of the Software.
>
> diff --git a/bindings/python/examples/histogram.py b/bindings/python/examples/histogram.py
> deleted file mode 100644
> index 44616a6..0000000
> --- a/bindings/python/examples/histogram.py
> +++ /dev/null
> @@ -1,139 +0,0 @@
> -# histogram.py
> -#
> -# Babeltrace histogram example script
> -#
> -# Copyright 2012 EfficiOS Inc.
> -#
> -# Author: Danny Serres <danny.serres at efficios.com>
> -#
> -# Permission is hereby granted, free of charge, to any person obtaining a copy
> -# of this software and associated documentation files (the "Software"), to deal
> -# in the Software without restriction, including without limitation the rights
> -# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> -# copies of the Software, and to permit persons to whom the Software is
> -# furnished to do so, subject to the following conditions:
> -#
> -# The above copyright notice and this permission notice shall be included in
> -# all copies or substantial portions of the Software.
> -
> -# The script checks the number of events in the trace
> -# and outputs a table and a .svg histogram for the specified
> -# range (microseconds) or the total trace if no range specified.
> -# The graph is generated using the cairoplot module.
> -
> -import sys
> -from babeltrace import *
> -from output_format_modules import cairoplot
> -from output_format_modules.pprint_table import pprint_table as pprint
> -
> -# ------------------------------------------------
> -# Output settings
> -
> -# number of intervals:
> -nbDiv = 25 # Should not be over 150
> - # for usable graph output
> -
> -# table output stream (file-like object):
> -out = sys.stdout
> -# -------------------------------------------------
> -
> -if len(sys.argv) < 2 or len(sys.argv) > 4:
> - raise TypeError("Usage: python histogram.py [ start_time [end_time] ] path/to/trace")
> -
> -ctx = Context()
> -ret = ctx.add_trace(sys.argv[len(sys.argv)-1], "ctf")
> -if ret is None:
> - raise IOError("Error adding trace")
> -
> -# Check when to start/stop graphing
> -sinceBegin = True
> -beginTime = 0.0
> -if len(sys.argv) > 2:
> - sinceBegin = False
> - beginTime = float(sys.argv[1])
> -untilEnd = True
> -if len(sys.argv) == 4:
> - untilEnd = False
> -
> -# Setting iterator
> -bp = IterPos(SEEK_BEGIN)
> -ctf_it = ctf.Iterator(ctx, bp)
> -
> -# Reading events
> -event = ctf_it.read_event()
> -start_time = event.get_timestamp()
> -time = 0
> -count = {}
> -
> -while(event is not None):
> - # Microsec.
> - time = (event.get_timestamp() - start_time)/1000.0
> -
> - # Check if in range
> - if not sinceBegin:
> - if time < beginTime:
> - # Next Event
> - ret = ctf_it.next()
> - if ret < 0:
> - break
> - event = ctf_it.read_event()
> - continue
> - if not untilEnd:
> - if time > float(sys.argv[2]):
> - break
> -
> - # Counting events per timestamp:
> - if time in count:
> - count[time] += 1
> - else:
> - count[time] = 1
> -
> - # Next Event
> - ret = ctf_it.next()
> - if ret < 0:
> - break
> - event = ctf_it.read_event()
> -
> -del ctf_it
> -
> -# Setting data for output
> -interval = (time - beginTime)/nbDiv
> -div_begin_time = beginTime
> -div_end_time = beginTime + interval
> -data = {}
> -
> -# Prefix for string sorting, considering
> -# there should not be over 150 intervals.
> -# This would work up to 9999 intervals.
> -# If needed, add zeros.
> -prefix = 0.0001
> -
> -while div_end_time <= time:
> - key = str(prefix) + '[' + str(div_begin_time) + ';' + str(div_end_time) + '['
> - for tmp in count:
> - if tmp >= div_begin_time and tmp < div_end_time:
> - if key in data:
> - data[key] += count[tmp]
> - else:
> - data[key] = count[tmp]
> - if not key in data:
> - data[key] = 0
> - div_begin_time = div_end_time
> - div_end_time += interval
> - # Prefix increment
> - prefix += 0.001
> -
> -table = []
> -x_labels = []
> -for key in sorted(data):
> - table.append([key[key.find('['):], data[key]])
> - x_labels.append(key[key.find('['):])
> -
> -# Table output
> -table.insert(0, ["INTERVAL (us)", "COUNT"])
> -pprint(table, 1, out)
> -
> -# Graph output
> -cairoplot.vertical_bar_plot ( 'histogram.svg', data, 50 + 150*nbDiv, 50*nbDiv,
> - border = 20, display_values = True, grid = True,
> - x_labels = x_labels, rounded_corners = True )
> diff --git a/bindings/python/examples/output_format_modules/cairoplot.py b/bindings/python/examples/output_format_modules/cairoplot.py
> deleted file mode 100644
> index a27113f..0000000
> --- a/bindings/python/examples/output_format_modules/cairoplot.py
> +++ /dev/null
> @@ -1,2336 +0,0 @@
> -#!/usr/bin/env python
> -# -*- coding: utf-8 -*-
> -
> -# CairoPlot.py
> -#
> -# Copyright (c) 2008 Rodrigo Moreira Araújo
> -#
> -# Author: Rodrigo Moreiro Araujo <alf.rodrigo at gmail.com>
> -#
> -# This program is free software; you can redistribute it and/or
> -# modify it under the terms of the GNU Lesser General Public License
> -# as published by the Free Software Foundation; either version 2 of
> -# the License, or (at your option) any later version.
> -#
> -# This program is distributed in the hope that it will be useful,
> -# but WITHOUT ANY WARRANTY; without even the implied warranty of
> -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
> -# GNU General Public License for more details.
> -#
> -# You should have received a copy of the GNU Lesser General Public
> -# License along with this program; if not, write to the Free Software
> -# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
> -# USA
> -
> -#Contributor: João S. O. Bueno
> -
> -#TODO: review BarPlot Code
> -#TODO: x_label colision problem on Horizontal Bar Plot
> -#TODO: y_label's eat too much space on HBP
> -
> -
> -__version__ = 1.2
> -
> -import cairo
> -import math
> -import random
> -from series import Series, Group, Data
> -
> -HORZ = 0
> -VERT = 1
> -NORM = 2
> -
> -COLORS = {"red" : (1.0,0.0,0.0,1.0), "lime" : (0.0,1.0,0.0,1.0), "blue" : (0.0,0.0,1.0,1.0),
> - "maroon" : (0.5,0.0,0.0,1.0), "green" : (0.0,0.5,0.0,1.0), "navy" : (0.0,0.0,0.5,1.0),
> - "yellow" : (1.0,1.0,0.0,1.0), "magenta" : (1.0,0.0,1.0,1.0), "cyan" : (0.0,1.0,1.0,1.0),
> - "orange" : (1.0,0.5,0.0,1.0), "white" : (1.0,1.0,1.0,1.0), "black" : (0.0,0.0,0.0,1.0),
> - "gray" : (0.5,0.5,0.5,1.0), "light_gray" : (0.9,0.9,0.9,1.0),
> - "transparent" : (0.0,0.0,0.0,0.0)}
> -
> -THEMES = {"black_red" : [(0.0,0.0,0.0,1.0), (1.0,0.0,0.0,1.0)],
> - "red_green_blue" : [(1.0,0.0,0.0,1.0), (0.0,1.0,0.0,1.0), (0.0,0.0,1.0,1.0)],
> - "red_orange_yellow" : [(1.0,0.2,0.0,1.0), (1.0,0.7,0.0,1.0), (1.0,1.0,0.0,1.0)],
> - "yellow_orange_red" : [(1.0,1.0,0.0,1.0), (1.0,0.7,0.0,1.0), (1.0,0.2,0.0,1.0)],
> - "rainbow" : [(1.0,0.0,0.0,1.0), (1.0,0.5,0.0,1.0), (1.0,1.0,0.0,1.0), (0.0,1.0,0.0,1.0), (0.0,0.0,1.0,1.0), (0.3, 0.0, 0.5,1.0), (0.5, 0.0, 1.0, 1.0)]}
> -
> -def colors_from_theme( theme, series_length, mode = 'solid' ):
> - colors = []
> - if theme not in THEMES.keys() :
> - raise Exception, "Theme not defined"
> - color_steps = THEMES[theme]
> - n_colors = len(color_steps)
> - if series_length <= n_colors:
> - colors = [color + tuple([mode]) for color in color_steps[0:n_colors]]
> - else:
> - iterations = [(series_length - n_colors)/(n_colors - 1) for i in color_steps[:-1]]
> - over_iterations = (series_length - n_colors) % (n_colors - 1)
> - for i in range(n_colors - 1):
> - if over_iterations <= 0:
> - break
> - iterations[i] += 1
> - over_iterations -= 1
> - for index,color in enumerate(color_steps[:-1]):
> - colors.append(color + tuple([mode]))
> - if iterations[index] == 0:
> - continue
> - next_color = color_steps[index+1]
> - color_step = ((next_color[0] - color[0])/(iterations[index] + 1),
> - (next_color[1] - color[1])/(iterations[index] + 1),
> - (next_color[2] - color[2])/(iterations[index] + 1),
> - (next_color[3] - color[3])/(iterations[index] + 1))
> - for i in range( iterations[index] ):
> - colors.append((color[0] + color_step[0]*(i+1),
> - color[1] + color_step[1]*(i+1),
> - color[2] + color_step[2]*(i+1),
> - color[3] + color_step[3]*(i+1),
> - mode))
> - colors.append(color_steps[-1] + tuple([mode]))
> - return colors
> -
> -
> -def other_direction(direction):
> - "explicit is better than implicit"
> - if direction == HORZ:
> - return VERT
> - else:
> - return HORZ
> -
> -#Class definition
> -
> -class Plot(object):
> - def __init__(self,
> - surface=None,
> - data=None,
> - width=640,
> - height=480,
> - background=None,
> - border = 0,
> - x_labels = None,
> - y_labels = None,
> - series_colors = None):
> - random.seed(2)
> - self.create_surface(surface, width, height)
> - self.dimensions = {}
> - self.dimensions[HORZ] = width
> - self.dimensions[VERT] = height
> - self.context = cairo.Context(self.surface)
> - self.labels={}
> - self.labels[HORZ] = x_labels
> - self.labels[VERT] = y_labels
> - self.load_series(data, x_labels, y_labels, series_colors)
> - self.font_size = 10
> - self.set_background (background)
> - self.border = border
> - self.borders = {}
> - self.line_color = (0.5, 0.5, 0.5)
> - self.line_width = 0.5
> - self.label_color = (0.0, 0.0, 0.0)
> - self.grid_color = (0.8, 0.8, 0.8)
> -
> - def create_surface(self, surface, width=None, height=None):
> - self.filename = None
> - if isinstance(surface, cairo.Surface):
> - self.surface = surface
> - return
> - if not type(surface) in (str, unicode):
> - raise TypeError("Surface should be either a Cairo surface or a filename, not %s" % surface)
> - sufix = surface.rsplit(".")[-1].lower()
> - self.filename = surface
> - if sufix == "png":
> - self.surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, width, height)
> - elif sufix == "ps":
> - self.surface = cairo.PSSurface(surface, width, height)
> - elif sufix == "pdf":
> - self.surface = cairo.PSSurface(surface, width, height)
> - else:
> - if sufix != "svg":
> - self.filename += ".svg"
> - self.surface = cairo.SVGSurface(self.filename, width, height)
> -
> - def commit(self):
> - try:
> - self.context.show_page()
> - if self.filename and self.filename.endswith(".png"):
> - self.surface.write_to_png(self.filename)
> - else:
> - self.surface.finish()
> - except cairo.Error:
> - pass
> -
> - def load_series (self, data, x_labels=None, y_labels=None, series_colors=None):
> - self.series_labels = []
> - self.series = None
> -
> - #The pretty way
> - #if not isinstance(data, Series):
> - # # Not an instance of Series
> - # self.series = Series(data)
> - #else:
> - # self.series = data
> - #
> - #self.series_labels = self.series.get_names()
> -
> - #TODO: Remove on next version
> - # The ugly way, keeping retrocompatibility...
> - if callable(data) or type(data) is list and callable(data[0]): # Lambda or List of lambdas
> - self.series = data
> - self.series_labels = None
> - elif isinstance(data, Series): # Instance of Series
> - self.series = data
> - self.series_labels = data.get_names()
> - else: # Anything else
> - self.series = Series(data)
> - self.series_labels = self.series.get_names()
> -
> - #TODO: allow user passed series_widths
> - self.series_widths = [1.0 for group in self.series]
> -
> - #TODO: Remove on next version
> - self.process_colors( series_colors )
> -
> - def process_colors( self, series_colors, length = None, mode = 'solid' ):
> - #series_colors might be None, a theme, a string of colors names or a list of color tuples
> - if length is None :
> - length = len( self.series.to_list() )
> -
> - #no colors passed
> - if not series_colors:
> - #Randomize colors
> - self.series_colors = [ [random.random() for i in range(3)] + [1.0, mode] for series in range( length ) ]
> - else:
> - #Just theme pattern
> - if not hasattr( series_colors, "__iter__" ):
> - theme = series_colors
> - self.series_colors = colors_from_theme( theme.lower(), length )
> -
> - #Theme pattern and mode
> - elif not hasattr(series_colors, '__delitem__') and not hasattr( series_colors[0], "__iter__" ):
> - theme = series_colors[0]
> - mode = series_colors[1]
> - self.series_colors = colors_from_theme( theme.lower(), length, mode )
> -
> - #List
> - else:
> - self.series_colors = series_colors
> - for index, color in enumerate( self.series_colors ):
> - #element is a color name
> - if not hasattr(color, "__iter__"):
> - self.series_colors[index] = COLORS[color.lower()] + tuple([mode])
> - #element is rgb tuple instead of rgba
> - elif len( color ) == 3 :
> - self.series_colors[index] += (1.0,mode)
> - #element has 4 elements, might be rgba tuple or rgb tuple with mode
> - elif len( color ) == 4 :
> - #last element is mode
> - if not hasattr(color[3], "__iter__"):
> - self.series_colors[index] += tuple([color[3]])
> - self.series_colors[index][3] = 1.0
> - #last element is alpha
> - else:
> - self.series_colors[index] += tuple([mode])
> -
> - def get_width(self):
> - return self.surface.get_width()
> -
> - def get_height(self):
> - return self.surface.get_height()
> -
> - def set_background(self, background):
> - if background is None:
> - self.background = (0.0,0.0,0.0,0.0)
> - elif type(background) in (cairo.LinearGradient, tuple):
> - self.background = background
> - elif not hasattr(background,"__iter__"):
> - colors = background.split(" ")
> - if len(colors) == 1 and colors[0] in COLORS:
> - self.background = COLORS[background]
> - elif len(colors) > 1:
> - self.background = cairo.LinearGradient(self.dimensions[HORZ] / 2, 0, self.dimensions[HORZ] / 2, self.dimensions[VERT])
> - for index,color in enumerate(colors):
> - self.background.add_color_stop_rgba(float(index)/(len(colors)-1),*COLORS[color])
> - else:
> - raise TypeError ("Background should be either cairo.LinearGradient or a 3/4-tuple, not %s" % type(background))
> -
> - def render_background(self):
> - if isinstance(self.background, cairo.LinearGradient):
> - self.context.set_source(self.background)
> - else:
> - self.context.set_source_rgba(*self.background)
> - self.context.rectangle(0,0, self.dimensions[HORZ], self.dimensions[VERT])
> - self.context.fill()
> -
> - def render_bounding_box(self):
> - self.context.set_source_rgba(*self.line_color)
> - self.context.set_line_width(self.line_width)
> - self.context.rectangle(self.border, self.border,
> - self.dimensions[HORZ] - 2 * self.border,
> - self.dimensions[VERT] - 2 * self.border)
> - self.context.stroke()
> -
> - def render(self):
> - pass
> -
> -class ScatterPlot( Plot ):
> - def __init__(self,
> - surface=None,
> - data=None,
> - errorx=None,
> - errory=None,
> - width=640,
> - height=480,
> - background=None,
> - border=0,
> - axis = False,
> - dash = False,
> - discrete = False,
> - dots = 0,
> - grid = False,
> - series_legend = False,
> - x_labels = None,
> - y_labels = None,
> - x_bounds = None,
> - y_bounds = None,
> - z_bounds = None,
> - x_title = None,
> - y_title = None,
> - series_colors = None,
> - circle_colors = None ):
> -
> - self.bounds = {}
> - self.bounds[HORZ] = x_bounds
> - self.bounds[VERT] = y_bounds
> - self.bounds[NORM] = z_bounds
> - self.titles = {}
> - self.titles[HORZ] = x_title
> - self.titles[VERT] = y_title
> - self.max_value = {}
> - self.axis = axis
> - self.discrete = discrete
> - self.dots = dots
> - self.grid = grid
> - self.series_legend = series_legend
> - self.variable_radius = False
> - self.x_label_angle = math.pi / 2.5
> - self.circle_colors = circle_colors
> -
> - Plot.__init__(self, surface, data, width, height, background, border, x_labels, y_labels, series_colors)
> -
> - self.dash = None
> - if dash:
> - if hasattr(dash, "keys"):
> - self.dash = [dash[key] for key in self.series_labels]
> - elif max([hasattr(item,'__delitem__') for item in data]) :
> - self.dash = dash
> - else:
> - self.dash = [dash]
> -
> - self.load_errors(errorx, errory)
> -
> - def convert_list_to_tuple(self, data):
> - #Data must be converted from lists of coordinates to a single
> - # list of tuples
> - out_data = zip(*data)
> - if len(data) == 3:
> - self.variable_radius = True
> - return out_data
> -
> - def load_series(self, data, x_labels = None, y_labels = None, series_colors=None):
> - #TODO: In cairoplot 2.0 keep only the Series instances
> -
> - # Convert Data and Group to Series
> - if isinstance(data, Data) or isinstance(data, Group):
> - data = Series(data)
> -
> - # Series
> - if isinstance(data, Series):
> - for group in data:
> - for item in group:
> - if len(item) is 3:
> - self.variable_radius = True
> -
> - #Dictionary with lists
> - if hasattr(data, "keys") :
> - if hasattr( data.values()[0][0], "__delitem__" ) :
> - for key in data.keys() :
> - data[key] = self.convert_list_to_tuple(data[key])
> - elif len(data.values()[0][0]) == 3:
> - self.variable_radius = True
> - #List
> - elif hasattr(data[0], "__delitem__") :
> - #List of lists
> - if hasattr(data[0][0], "__delitem__") :
> - for index,value in enumerate(data) :
> - data[index] = self.convert_list_to_tuple(value)
> - #List
> - elif type(data[0][0]) != type((0,0)):
> - data = self.convert_list_to_tuple(data)
> - #Three dimensional data
> - elif len(data[0][0]) == 3:
> - self.variable_radius = True
> -
> - #List with three dimensional tuples
> - elif len(data[0]) == 3:
> - self.variable_radius = True
> - Plot.load_series(self, data, x_labels, y_labels, series_colors)
> - self.calc_boundaries()
> - self.calc_labels()
> -
> - def load_errors(self, errorx, errory):
> - self.errors = None
> - if errorx == None and errory == None:
> - return
> - self.errors = {}
> - self.errors[HORZ] = None
> - self.errors[VERT] = None
> - #asimetric errors
> - if errorx and hasattr(errorx[0], "__delitem__"):
> - self.errors[HORZ] = errorx
> - #simetric errors
> - elif errorx:
> - self.errors[HORZ] = [errorx]
> - #asimetric errors
> - if errory and hasattr(errory[0], "__delitem__"):
> - self.errors[VERT] = errory
> - #simetric errors
> - elif errory:
> - self.errors[VERT] = [errory]
> -
> - def calc_labels(self):
> - if not self.labels[HORZ]:
> - amplitude = self.bounds[HORZ][1] - self.bounds[HORZ][0]
> - if amplitude % 10: #if horizontal labels need floating points
> - self.labels[HORZ] = ["%.2lf" % (float(self.bounds[HORZ][0] + (amplitude * i / 10.0))) for i in range(11) ]
> - else:
> - self.labels[HORZ] = ["%d" % (int(self.bounds[HORZ][0] + (amplitude * i / 10.0))) for i in range(11) ]
> - if not self.labels[VERT]:
> - amplitude = self.bounds[VERT][1] - self.bounds[VERT][0]
> - if amplitude % 10: #if vertical labels need floating points
> - self.labels[VERT] = ["%.2lf" % (float(self.bounds[VERT][0] + (amplitude * i / 10.0))) for i in range(11) ]
> - else:
> - self.labels[VERT] = ["%d" % (int(self.bounds[VERT][0] + (amplitude * i / 10.0))) for i in range(11) ]
> -
> - def calc_extents(self, direction):
> - self.context.set_font_size(self.font_size * 0.8)
> - self.max_value[direction] = max(self.context.text_extents(item)[2] for item in self.labels[direction])
> - self.borders[other_direction(direction)] = self.max_value[direction] + self.border + 20
> -
> - def calc_boundaries(self):
> - #HORZ = 0, VERT = 1, NORM = 2
> - min_data_value = [0,0,0]
> - max_data_value = [0,0,0]
> -
> - for group in self.series:
> - if type(group[0].content) in (int, float, long):
> - group = [Data((index, item.content)) for index,item in enumerate(group)]
> -
> - for point in group:
> - for index, item in enumerate(point.content):
> - if item > max_data_value[index]:
> - max_data_value[index] = item
> - elif item < min_data_value[index]:
> - min_data_value[index] = item
> -
> - if not self.bounds[HORZ]:
> - self.bounds[HORZ] = (min_data_value[HORZ], max_data_value[HORZ])
> - if not self.bounds[VERT]:
> - self.bounds[VERT] = (min_data_value[VERT], max_data_value[VERT])
> - if not self.bounds[NORM]:
> - self.bounds[NORM] = (min_data_value[NORM], max_data_value[NORM])
> -
> - def calc_all_extents(self):
> - self.calc_extents(HORZ)
> - self.calc_extents(VERT)
> -
> - self.plot_height = self.dimensions[VERT] - 2 * self.borders[VERT]
> - self.plot_width = self.dimensions[HORZ] - 2* self.borders[HORZ]
> -
> - self.plot_top = self.dimensions[VERT] - self.borders[VERT]
> -
> - def calc_steps(self):
> - #Calculates all the x, y, z and color steps
> - series_amplitude = [self.bounds[index][1] - self.bounds[index][0] for index in range(3)]
> -
> - if series_amplitude[HORZ]:
> - self.horizontal_step = float (self.plot_width) / series_amplitude[HORZ]
> - else:
> - self.horizontal_step = 0.00
> -
> - if series_amplitude[VERT]:
> - self.vertical_step = float (self.plot_height) / series_amplitude[VERT]
> - else:
> - self.vertical_step = 0.00
> -
> - if series_amplitude[NORM]:
> - if self.variable_radius:
> - self.z_step = float (self.bounds[NORM][1]) / series_amplitude[NORM]
> - if self.circle_colors:
> - self.circle_color_step = tuple([float(self.circle_colors[1][i]-self.circle_colors[0][i])/series_amplitude[NORM] for i in range(4)])
> - else:
> - self.z_step = 0.00
> - self.circle_color_step = ( 0.0, 0.0, 0.0, 0.0 )
> -
> - def get_circle_color(self, value):
> - return tuple( [self.circle_colors[0][i] + value*self.circle_color_step[i] for i in range(4)] )
> -
> - def render(self):
> - self.calc_all_extents()
> - self.calc_steps()
> - self.render_background()
> - self.render_bounding_box()
> - if self.axis:
> - self.render_axis()
> - if self.grid:
> - self.render_grid()
> - self.render_labels()
> - self.render_plot()
> - if self.errors:
> - self.render_errors()
> - if self.series_legend and self.series_labels:
> - self.render_legend()
> -
> - def render_axis(self):
> - #Draws both the axis lines and their titles
> - cr = self.context
> - cr.set_source_rgba(*self.line_color)
> - cr.move_to(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT])
> - cr.line_to(self.borders[HORZ], self.borders[VERT])
> - cr.stroke()
> -
> - cr.move_to(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT])
> - cr.line_to(self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT])
> - cr.stroke()
> -
> - cr.set_source_rgba(*self.label_color)
> - self.context.set_font_size( 1.2 * self.font_size )
> - if self.titles[HORZ]:
> - title_width,title_height = cr.text_extents(self.titles[HORZ])[2:4]
> - cr.move_to( self.dimensions[HORZ]/2 - title_width/2, self.borders[VERT] - title_height/2 )
> - cr.show_text( self.titles[HORZ] )
> -
> - if self.titles[VERT]:
> - title_width,title_height = cr.text_extents(self.titles[VERT])[2:4]
> - cr.move_to( self.dimensions[HORZ] - self.borders[HORZ] + title_height/2, self.dimensions[VERT]/2 - title_width/2)
> - cr.save()
> - cr.rotate( math.pi/2 )
> - cr.show_text( self.titles[VERT] )
> - cr.restore()
> -
> - def render_grid(self):
> - cr = self.context
> - horizontal_step = float( self.plot_height ) / ( len( self.labels[VERT] ) - 1 )
> - vertical_step = float( self.plot_width ) / ( len( self.labels[HORZ] ) - 1 )
> -
> - x = self.borders[HORZ] + vertical_step
> - y = self.plot_top - horizontal_step
> -
> - for label in self.labels[HORZ][:-1]:
> - cr.set_source_rgba(*self.grid_color)
> - cr.move_to(x, self.dimensions[VERT] - self.borders[VERT])
> - cr.line_to(x, self.borders[VERT])
> - cr.stroke()
> - x += vertical_step
> - for label in self.labels[VERT][:-1]:
> - cr.set_source_rgba(*self.grid_color)
> - cr.move_to(self.borders[HORZ], y)
> - cr.line_to(self.dimensions[HORZ] - self.borders[HORZ], y)
> - cr.stroke()
> - y -= horizontal_step
> -
> - def render_labels(self):
> - self.context.set_font_size(self.font_size * 0.8)
> - self.render_horz_labels()
> - self.render_vert_labels()
> -
> - def render_horz_labels(self):
> - cr = self.context
> - step = float( self.plot_width ) / ( len( self.labels[HORZ] ) - 1 )
> - x = self.borders[HORZ]
> - y = self.dimensions[VERT] - self.borders[VERT] + 5
> -
> - # store rotation matrix from the initial state
> - rotation_matrix = cr.get_matrix()
> - rotation_matrix.rotate(self.x_label_angle)
> -
> - cr.set_source_rgba(*self.label_color)
> -
> - for item in self.labels[HORZ]:
> - width = cr.text_extents(item)[2]
> - cr.move_to(x, y)
> - cr.save()
> - cr.set_matrix(rotation_matrix)
> - cr.show_text(item)
> - cr.restore()
> - x += step
> -
> - def render_vert_labels(self):
> - cr = self.context
> - step = ( self.plot_height ) / ( len( self.labels[VERT] ) - 1 )
> - y = self.plot_top
> - cr.set_source_rgba(*self.label_color)
> - for item in self.labels[VERT]:
> - width = cr.text_extents(item)[2]
> - cr.move_to(self.borders[HORZ] - width - 5,y)
> - cr.show_text(item)
> - y -= step
> -
> - def render_legend(self):
> - cr = self.context
> - cr.set_font_size(self.font_size)
> - cr.set_line_width(self.line_width)
> -
> - widest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[2])
> - tallest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[3])
> - max_width = self.context.text_extents(widest_word)[2]
> - max_height = self.context.text_extents(tallest_word)[3] * 1.1
> -
> - color_box_height = max_height / 2
> - color_box_width = color_box_height * 2
> -
> - #Draw a bounding box
> - bounding_box_width = max_width + color_box_width + 15
> - bounding_box_height = (len(self.series_labels)+0.5) * max_height
> - cr.set_source_rgba(1,1,1)
> - cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - bounding_box_width, self.borders[VERT],
> - bounding_box_width, bounding_box_height)
> - cr.fill()
> -
> - cr.set_source_rgba(*self.line_color)
> - cr.set_line_width(self.line_width)
> - cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - bounding_box_width, self.borders[VERT],
> - bounding_box_width, bounding_box_height)
> - cr.stroke()
> -
> - for idx,key in enumerate(self.series_labels):
> - #Draw color box
> - cr.set_source_rgba(*self.series_colors[idx][:4])
> - cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - max_width - color_box_width - 10,
> - self.borders[VERT] + color_box_height + (idx*max_height) ,
> - color_box_width, color_box_height)
> - cr.fill()
> -
> - cr.set_source_rgba(0, 0, 0)
> - cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - max_width - color_box_width - 10,
> - self.borders[VERT] + color_box_height + (idx*max_height),
> - color_box_width, color_box_height)
> - cr.stroke()
> -
> - #Draw series labels
> - cr.set_source_rgba(0, 0, 0)
> - cr.move_to(self.dimensions[HORZ] - self.borders[HORZ] - max_width - 5, self.borders[VERT] + ((idx+1)*max_height))
> - cr.show_text(key)
> -
> - def render_errors(self):
> - cr = self.context
> - cr.rectangle(self.borders[HORZ], self.borders[VERT], self.plot_width, self.plot_height)
> - cr.clip()
> - radius = self.dots
> - x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step
> - y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step
> - for index, group in enumerate(self.series):
> - cr.set_source_rgba(*self.series_colors[index][:4])
> - for number, data in enumerate(group):
> - x = x0 + self.horizontal_step * data.content[0]
> - y = self.dimensions[VERT] - y0 - self.vertical_step * data.content[1]
> - if self.errors[HORZ]:
> - cr.move_to(x, y)
> - x1 = x - self.horizontal_step * self.errors[HORZ][0][number]
> - cr.line_to(x1, y)
> - cr.line_to(x1, y - radius)
> - cr.line_to(x1, y + radius)
> - cr.stroke()
> - if self.errors[HORZ] and len(self.errors[HORZ]) == 2:
> - cr.move_to(x, y)
> - x1 = x + self.horizontal_step * self.errors[HORZ][1][number]
> - cr.line_to(x1, y)
> - cr.line_to(x1, y - radius)
> - cr.line_to(x1, y + radius)
> - cr.stroke()
> - if self.errors[VERT]:
> - cr.move_to(x, y)
> - y1 = y + self.vertical_step * self.errors[VERT][0][number]
> - cr.line_to(x, y1)
> - cr.line_to(x - radius, y1)
> - cr.line_to(x + radius, y1)
> - cr.stroke()
> - if self.errors[VERT] and len(self.errors[VERT]) == 2:
> - cr.move_to(x, y)
> - y1 = y - self.vertical_step * self.errors[VERT][1][number]
> - cr.line_to(x, y1)
> - cr.line_to(x - radius, y1)
> - cr.line_to(x + radius, y1)
> - cr.stroke()
> -
> -
> - def render_plot(self):
> - cr = self.context
> - if self.discrete:
> - cr.rectangle(self.borders[HORZ], self.borders[VERT], self.plot_width, self.plot_height)
> - cr.clip()
> - x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step
> - y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step
> - radius = self.dots
> - for number, group in enumerate (self.series):
> - cr.set_source_rgba(*self.series_colors[number][:4])
> - for data in group :
> - if self.variable_radius:
> - radius = data.content[2]*self.z_step
> - if self.circle_colors:
> - cr.set_source_rgba( *self.get_circle_color( data.content[2]) )
> - x = x0 + self.horizontal_step*data.content[0]
> - y = y0 + self.vertical_step*data.content[1]
> - cr.arc(x, self.dimensions[VERT] - y, radius, 0, 2*math.pi)
> - cr.fill()
> - else:
> - cr.rectangle(self.borders[HORZ], self.borders[VERT], self.plot_width, self.plot_height)
> - cr.clip()
> - x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step
> - y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step
> - radius = self.dots
> - for number, group in enumerate (self.series):
> - last_data = None
> - cr.set_source_rgba(*self.series_colors[number][:4])
> - for data in group :
> - x = x0 + self.horizontal_step*data.content[0]
> - y = y0 + self.vertical_step*data.content[1]
> - if self.dots:
> - if self.variable_radius:
> - radius = data.content[2]*self.z_step
> - cr.arc(x, self.dimensions[VERT] - y, radius, 0, 2*math.pi)
> - cr.fill()
> - if last_data :
> - old_x = x0 + self.horizontal_step*last_data.content[0]
> - old_y = y0 + self.vertical_step*last_data.content[1]
> - cr.move_to( old_x, self.dimensions[VERT] - old_y )
> - cr.line_to( x, self.dimensions[VERT] - y)
> - cr.set_line_width(self.series_widths[number])
> -
> - # Display line as dash line
> - if self.dash and self.dash[number]:
> - s = self.series_widths[number]
> - cr.set_dash([s*3, s*3], 0)
> -
> - cr.stroke()
> - cr.set_dash([])
> - last_data = data
> -
> -class DotLinePlot(ScatterPlot):
> - def __init__(self,
> - surface=None,
> - data=None,
> - width=640,
> - height=480,
> - background=None,
> - border=0,
> - axis = False,
> - dash = False,
> - dots = 0,
> - grid = False,
> - series_legend = False,
> - x_labels = None,
> - y_labels = None,
> - x_bounds = None,
> - y_bounds = None,
> - x_title = None,
> - y_title = None,
> - series_colors = None):
> -
> - ScatterPlot.__init__(self, surface, data, None, None, width, height, background, border,
> - axis, dash, False, dots, grid, series_legend, x_labels, y_labels,
> - x_bounds, y_bounds, None, x_title, y_title, series_colors, None )
> -
> -
> - def load_series(self, data, x_labels = None, y_labels = None, series_colors=None):
> - Plot.load_series(self, data, x_labels, y_labels, series_colors)
> - for group in self.series :
> - for index,data in enumerate(group):
> - group[index].content = (index, data.content)
> -
> - self.calc_boundaries()
> - self.calc_labels()
> -
> -class FunctionPlot(ScatterPlot):
> - def __init__(self,
> - surface=None,
> - data=None,
> - width=640,
> - height=480,
> - background=None,
> - border=0,
> - axis = False,
> - discrete = False,
> - dots = 0,
> - grid = False,
> - series_legend = False,
> - x_labels = None,
> - y_labels = None,
> - x_bounds = None,
> - y_bounds = None,
> - x_title = None,
> - y_title = None,
> - series_colors = None,
> - step = 1):
> -
> - self.function = data
> - self.step = step
> - self.discrete = discrete
> -
> - data, x_bounds = self.load_series_from_function( self.function, x_bounds )
> -
> - ScatterPlot.__init__(self, surface, data, None, None, width, height, background, border,
> - axis, False, discrete, dots, grid, series_legend, x_labels, y_labels,
> - x_bounds, y_bounds, None, x_title, y_title, series_colors, None )
> -
> - def load_series(self, data, x_labels = None, y_labels = None, series_colors=None):
> - Plot.load_series(self, data, x_labels, y_labels, series_colors)
> -
> - if len(self.series[0][0]) is 1:
> - for group_id, group in enumerate(self.series) :
> - for index,data in enumerate(group):
> - group[index].content = (self.bounds[HORZ][0] + self.step*index, data.content)
> -
> - self.calc_boundaries()
> - self.calc_labels()
> -
> - def load_series_from_function( self, function, x_bounds ):
> - #TODO: Add the possibility for the user to define multiple functions with different discretization parameters
> -
> - #This function converts a function, a list of functions or a dictionary
> - #of functions into its corresponding array of data
> - series = Series()
> -
> - if isinstance(function, Group) or isinstance(function, Data):
> - function = Series(function)
> -
> - # If is instance of Series
> - if isinstance(function, Series):
> - # Overwrite any bounds passed by the function
> - x_bounds = (function.range[0],function.range[-1])
> -
> - #if no bounds are provided
> - if x_bounds == None:
> - x_bounds = (0,10)
> -
> -
> - #TODO: Finish the dict translation
> - if hasattr(function, "keys"): #dictionary:
> - for key in function.keys():
> - group = Group(name=key)
> - #data[ key ] = []
> - i = x_bounds[0]
> - while i <= x_bounds[1] :
> - group.add_data(function[ key ](i))
> - #data[ key ].append( function[ key ](i) )
> - i += self.step
> - series.add_group(group)
> -
> - elif hasattr(function, "__delitem__"): #list of functions
> - for index,f in enumerate( function ) :
> - group = Group()
> - #data.append( [] )
> - i = x_bounds[0]
> - while i <= x_bounds[1] :
> - group.add_data(f(i))
> - #data[ index ].append( f(i) )
> - i += self.step
> - series.add_group(group)
> -
> - elif isinstance(function, Series): # instance of Series
> - series = function
> -
> - else: #function
> - group = Group()
> - i = x_bounds[0]
> - while i <= x_bounds[1] :
> - group.add_data(function(i))
> - i += self.step
> - series.add_group(group)
> -
> -
> - return series, x_bounds
> -
> - def calc_labels(self):
> - if not self.labels[HORZ]:
> - self.labels[HORZ] = []
> - i = self.bounds[HORZ][0]
> - while i<=self.bounds[HORZ][1]:
> - self.labels[HORZ].append(str(i))
> - i += float(self.bounds[HORZ][1] - self.bounds[HORZ][0])/10
> - ScatterPlot.calc_labels(self)
> -
> - def render_plot(self):
> - if not self.discrete:
> - ScatterPlot.render_plot(self)
> - else:
> - last = None
> - cr = self.context
> - for number, group in enumerate (self.series):
> - cr.set_source_rgba(*self.series_colors[number][:4])
> - x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step
> - y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step
> - for data in group:
> - x = x0 + self.horizontal_step * data.content[0]
> - y = y0 + self.vertical_step * data.content[1]
> - cr.move_to(x, self.dimensions[VERT] - y)
> - cr.line_to(x, self.plot_top)
> - cr.set_line_width(self.series_widths[number])
> - cr.stroke()
> - if self.dots:
> - cr.new_path()
> - cr.arc(x, self.dimensions[VERT] - y, 3, 0, 2.1 * math.pi)
> - cr.close_path()
> - cr.fill()
> -
> -class BarPlot(Plot):
> - def __init__(self,
> - surface = None,
> - data = None,
> - width = 640,
> - height = 480,
> - background = "white light_gray",
> - border = 0,
> - display_values = False,
> - grid = False,
> - rounded_corners = False,
> - stack = False,
> - three_dimension = False,
> - x_labels = None,
> - y_labels = None,
> - x_bounds = None,
> - y_bounds = None,
> - series_colors = None,
> - main_dir = None):
> -
> - self.bounds = {}
> - self.bounds[HORZ] = x_bounds
> - self.bounds[VERT] = y_bounds
> - self.display_values = display_values
> - self.grid = grid
> - self.rounded_corners = rounded_corners
> - self.stack = stack
> - self.three_dimension = three_dimension
> - self.x_label_angle = math.pi / 2.5
> - self.main_dir = main_dir
> - self.max_value = {}
> - self.plot_dimensions = {}
> - self.steps = {}
> - self.value_label_color = (0.5,0.5,0.5,1.0)
> -
> - Plot.__init__(self, surface, data, width, height, background, border, x_labels, y_labels, series_colors)
> -
> - def load_series(self, data, x_labels = None, y_labels = None, series_colors = None):
> - Plot.load_series(self, data, x_labels, y_labels, series_colors)
> - self.calc_boundaries()
> -
> - def process_colors(self, series_colors):
> - #Data for a BarPlot might be a List or a List of Lists.
> - #On the first case, colors must be generated for all bars,
> - #On the second, colors must be generated for each of the inner lists.
> -
> - #TODO: Didn't get it...
> - #if hasattr(self.data[0], '__getitem__'):
> - # length = max(len(series) for series in self.data)
> - #else:
> - # length = len( self.data )
> -
> - length = max(len(group) for group in self.series)
> -
> - Plot.process_colors( self, series_colors, length, 'linear')
> -
> - def calc_boundaries(self):
> - if not self.bounds[self.main_dir]:
> - if self.stack:
> - max_data_value = max(sum(group.to_list()) for group in self.series)
> - else:
> - max_data_value = max(max(group.to_list()) for group in self.series)
> - self.bounds[self.main_dir] = (0, max_data_value)
> - if not self.bounds[other_direction(self.main_dir)]:
> - self.bounds[other_direction(self.main_dir)] = (0, len(self.series))
> -
> - def calc_extents(self, direction):
> - self.max_value[direction] = 0
> - if self.labels[direction]:
> - widest_word = max(self.labels[direction], key = lambda item: self.context.text_extents(item)[2])
> - self.max_value[direction] = self.context.text_extents(widest_word)[3 - direction]
> - self.borders[other_direction(direction)] = (2-direction)*self.max_value[direction] + self.border + direction*(5)
> - else:
> - self.borders[other_direction(direction)] = self.border
> -
> - def calc_horz_extents(self):
> - self.calc_extents(HORZ)
> -
> - def calc_vert_extents(self):
> - self.calc_extents(VERT)
> -
> - def calc_all_extents(self):
> - self.calc_horz_extents()
> - self.calc_vert_extents()
> - other_dir = other_direction(self.main_dir)
> - self.value_label = 0
> - if self.display_values:
> - if self.stack:
> - self.value_label = self.context.text_extents(str(max(sum(group.to_list()) for group in self.series)))[2 + self.main_dir]
> - else:
> - self.value_label = self.context.text_extents(str(max(max(group.to_list()) for group in self.series)))[2 + self.main_dir]
> - if self.labels[self.main_dir]:
> - self.plot_dimensions[self.main_dir] = self.dimensions[self.main_dir] - 2*self.borders[self.main_dir] - self.value_label
> - else:
> - self.plot_dimensions[self.main_dir] = self.dimensions[self.main_dir] - self.borders[self.main_dir] - 1.2*self.border - self.value_label
> - self.plot_dimensions[other_dir] = self.dimensions[other_dir] - self.borders[other_dir] - self.border
> - self.plot_top = self.dimensions[VERT] - self.borders[VERT]
> -
> - def calc_steps(self):
> - other_dir = other_direction(self.main_dir)
> - self.series_amplitude = self.bounds[self.main_dir][1] - self.bounds[self.main_dir][0]
> - if self.series_amplitude:
> - self.steps[self.main_dir] = float(self.plot_dimensions[self.main_dir])/self.series_amplitude
> - else:
> - self.steps[self.main_dir] = 0.00
> - series_length = len(self.series)
> - self.steps[other_dir] = float(self.plot_dimensions[other_dir])/(series_length + 0.1*(series_length + 1))
> - self.space = 0.1*self.steps[other_dir]
> -
> - def render(self):
> - self.calc_all_extents()
> - self.calc_steps()
> - self.render_background()
> - self.render_bounding_box()
> - if self.grid:
> - self.render_grid()
> - if self.three_dimension:
> - self.render_ground()
> - if self.display_values:
> - self.render_values()
> - self.render_labels()
> - self.render_plot()
> - if self.series_labels:
> - self.render_legend()
> -
> - def draw_3d_rectangle_front(self, x0, y0, x1, y1, shift):
> - self.context.rectangle(x0-shift, y0+shift, x1-x0, y1-y0)
> -
> - def draw_3d_rectangle_side(self, x0, y0, x1, y1, shift):
> - self.context.move_to(x1-shift,y0+shift)
> - self.context.line_to(x1, y0)
> - self.context.line_to(x1, y1)
> - self.context.line_to(x1-shift, y1+shift)
> - self.context.line_to(x1-shift, y0+shift)
> - self.context.close_path()
> -
> - def draw_3d_rectangle_top(self, x0, y0, x1, y1, shift):
> - self.context.move_to(x0-shift,y0+shift)
> - self.context.line_to(x0, y0)
> - self.context.line_to(x1, y0)
> - self.context.line_to(x1-shift, y0+shift)
> - self.context.line_to(x0-shift, y0+shift)
> - self.context.close_path()
> -
> - def draw_round_rectangle(self, x0, y0, x1, y1):
> - self.context.arc(x0+5, y0+5, 5, -math.pi, -math.pi/2)
> - self.context.line_to(x1-5, y0)
> - self.context.arc(x1-5, y0+5, 5, -math.pi/2, 0)
> - self.context.line_to(x1, y1-5)
> - self.context.arc(x1-5, y1-5, 5, 0, math.pi/2)
> - self.context.line_to(x0+5, y1)
> - self.context.arc(x0+5, y1-5, 5, math.pi/2, math.pi)
> - self.context.line_to(x0, y0+5)
> - self.context.close_path()
> -
> - def render_ground(self):
> - self.draw_3d_rectangle_front(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
> - self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
> - self.context.fill()
> -
> - self.draw_3d_rectangle_side (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
> - self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
> - self.context.fill()
> -
> - self.draw_3d_rectangle_top (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
> - self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
> - self.context.fill()
> -
> - def render_labels(self):
> - self.context.set_font_size(self.font_size * 0.8)
> - if self.labels[HORZ]:
> - self.render_horz_labels()
> - if self.labels[VERT]:
> - self.render_vert_labels()
> -
> - def render_legend(self):
> - cr = self.context
> - cr.set_font_size(self.font_size)
> - cr.set_line_width(self.line_width)
> -
> - widest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[2])
> - tallest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[3])
> - max_width = self.context.text_extents(widest_word)[2]
> - max_height = self.context.text_extents(tallest_word)[3] * 1.1 + 5
> -
> - color_box_height = max_height / 2
> - color_box_width = color_box_height * 2
> -
> - #Draw a bounding box
> - bounding_box_width = max_width + color_box_width + 15
> - bounding_box_height = (len(self.series_labels)+0.5) * max_height
> - cr.set_source_rgba(1,1,1)
> - cr.rectangle(self.dimensions[HORZ] - self.border - bounding_box_width, self.border,
> - bounding_box_width, bounding_box_height)
> - cr.fill()
> -
> - cr.set_source_rgba(*self.line_color)
> - cr.set_line_width(self.line_width)
> - cr.rectangle(self.dimensions[HORZ] - self.border - bounding_box_width, self.border,
> - bounding_box_width, bounding_box_height)
> - cr.stroke()
> -
> - for idx,key in enumerate(self.series_labels):
> - #Draw color box
> - cr.set_source_rgba(*self.series_colors[idx][:4])
> - cr.rectangle(self.dimensions[HORZ] - self.border - max_width - color_box_width - 10,
> - self.border + color_box_height + (idx*max_height) ,
> - color_box_width, color_box_height)
> - cr.fill()
> -
> - cr.set_source_rgba(0, 0, 0)
> - cr.rectangle(self.dimensions[HORZ] - self.border - max_width - color_box_width - 10,
> - self.border + color_box_height + (idx*max_height),
> - color_box_width, color_box_height)
> - cr.stroke()
> -
> - #Draw series labels
> - cr.set_source_rgba(0, 0, 0)
> - cr.move_to(self.dimensions[HORZ] - self.border - max_width - 5, self.border + ((idx+1)*max_height))
> - cr.show_text(key)
> -
> -
> -class HorizontalBarPlot(BarPlot):
> - def __init__(self,
> - surface = None,
> - data = None,
> - width = 640,
> - height = 480,
> - background = "white light_gray",
> - border = 0,
> - display_values = False,
> - grid = False,
> - rounded_corners = False,
> - stack = False,
> - three_dimension = False,
> - series_labels = None,
> - x_labels = None,
> - y_labels = None,
> - x_bounds = None,
> - y_bounds = None,
> - series_colors = None):
> -
> - BarPlot.__init__(self, surface, data, width, height, background, border,
> - display_values, grid, rounded_corners, stack, three_dimension,
> - x_labels, y_labels, x_bounds, y_bounds, series_colors, HORZ)
> - self.series_labels = series_labels
> -
> - def calc_vert_extents(self):
> - self.calc_extents(VERT)
> - if self.labels[HORZ] and not self.labels[VERT]:
> - self.borders[HORZ] += 10
> -
> - def draw_rectangle_bottom(self, x0, y0, x1, y1):
> - self.context.arc(x0+5, y1-5, 5, math.pi/2, math.pi)
> - self.context.line_to(x0, y0+5)
> - self.context.arc(x0+5, y0+5, 5, -math.pi, -math.pi/2)
> - self.context.line_to(x1, y0)
> - self.context.line_to(x1, y1)
> - self.context.line_to(x0+5, y1)
> - self.context.close_path()
> -
> - def draw_rectangle_top(self, x0, y0, x1, y1):
> - self.context.arc(x1-5, y0+5, 5, -math.pi/2, 0)
> - self.context.line_to(x1, y1-5)
> - self.context.arc(x1-5, y1-5, 5, 0, math.pi/2)
> - self.context.line_to(x0, y1)
> - self.context.line_to(x0, y0)
> - self.context.line_to(x1, y0)
> - self.context.close_path()
> -
> - def draw_rectangle(self, index, length, x0, y0, x1, y1):
> - if length == 1:
> - BarPlot.draw_rectangle(self, x0, y0, x1, y1)
> - elif index == 0:
> - self.draw_rectangle_bottom(x0, y0, x1, y1)
> - elif index == length-1:
> - self.draw_rectangle_top(x0, y0, x1, y1)
> - else:
> - self.context.rectangle(x0, y0, x1-x0, y1-y0)
> -
> - #TODO: Review BarPlot.render_grid code
> - def render_grid(self):
> - self.context.set_source_rgba(0.8, 0.8, 0.8)
> - if self.labels[HORZ]:
> - self.context.set_font_size(self.font_size * 0.8)
> - step = (self.dimensions[HORZ] - 2*self.borders[HORZ] - self.value_label)/(len(self.labels[HORZ])-1)
> - x = self.borders[HORZ]
> - next_x = 0
> - for item in self.labels[HORZ]:
> - width = self.context.text_extents(item)[2]
> - if x - width/2 > next_x and x - width/2 > self.border:
> - self.context.move_to(x, self.border)
> - self.context.line_to(x, self.dimensions[VERT] - self.borders[VERT])
> - self.context.stroke()
> - next_x = x + width/2
> - x += step
> - else:
> - lines = 11
> - horizontal_step = float(self.plot_dimensions[HORZ])/(lines-1)
> - x = self.borders[HORZ]
> - for y in xrange(0, lines):
> - self.context.move_to(x, self.border)
> - self.context.line_to(x, self.dimensions[VERT] - self.borders[VERT])
> - self.context.stroke()
> - x += horizontal_step
> -
> - def render_horz_labels(self):
> - step = (self.dimensions[HORZ] - 2*self.borders[HORZ])/(len(self.labels[HORZ])-1)
> - x = self.borders[HORZ]
> - next_x = 0
> -
> - for item in self.labels[HORZ]:
> - self.context.set_source_rgba(*self.label_color)
> - width = self.context.text_extents(item)[2]
> - if x - width/2 > next_x and x - width/2 > self.border:
> - self.context.move_to(x - width/2, self.dimensions[VERT] - self.borders[VERT] + self.max_value[HORZ] + 3)
> - self.context.show_text(item)
> - next_x = x + width/2
> - x += step
> -
> - def render_vert_labels(self):
> - series_length = len(self.labels[VERT])
> - step = (self.plot_dimensions[VERT] - (series_length + 1)*self.space)/(len(self.labels[VERT]))
> - y = self.border + step/2 + self.space
> -
> - for item in self.labels[VERT]:
> - self.context.set_source_rgba(*self.label_color)
> - width, height = self.context.text_extents(item)[2:4]
> - self.context.move_to(self.borders[HORZ] - width - 5, y + height/2)
> - self.context.show_text(item)
> - y += step + self.space
> - self.labels[VERT].reverse()
> -
> - def render_values(self):
> - self.context.set_source_rgba(*self.value_label_color)
> - self.context.set_font_size(self.font_size * 0.8)
> - if self.stack:
> - for i,group in enumerate(self.series):
> - value = sum(group.to_list())
> - height = self.context.text_extents(str(value))[3]
> - x = self.borders[HORZ] + value*self.steps[HORZ] + 2
> - y = self.borders[VERT] + (i+0.5)*self.steps[VERT] + (i+1)*self.space + height/2
> - self.context.move_to(x, y)
> - self.context.show_text(str(value))
> - else:
> - for i,group in enumerate(self.series):
> - inner_step = self.steps[VERT]/len(group)
> - y0 = self.border + i*self.steps[VERT] + (i+1)*self.space
> - for number,data in enumerate(group):
> - height = self.context.text_extents(str(data.content))[3]
> - self.context.move_to(self.borders[HORZ] + data.content*self.steps[HORZ] + 2, y0 + 0.5*inner_step + height/2, )
> - self.context.show_text(str(data.content))
> - y0 += inner_step
> -
> - def render_plot(self):
> - if self.stack:
> - for i,group in enumerate(self.series):
> - x0 = self.borders[HORZ]
> - y0 = self.borders[VERT] + i*self.steps[VERT] + (i+1)*self.space
> - for number,data in enumerate(group):
> - if self.series_colors[number][4] in ('radial','linear') :
> - linear = cairo.LinearGradient( data.content*self.steps[HORZ]/2, y0, data.content*self.steps[HORZ]/2, y0 + self.steps[VERT] )
> - color = self.series_colors[number]
> - linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
> - linear.add_color_stop_rgba(1.0, *color[:4])
> - self.context.set_source(linear)
> - elif self.series_colors[number][4] == 'solid':
> - self.context.set_source_rgba(*self.series_colors[number][:4])
> - if self.rounded_corners:
> - self.draw_rectangle(number, len(group), x0, y0, x0+data.content*self.steps[HORZ], y0+self.steps[VERT])
> - self.context.fill()
> - else:
> - self.context.rectangle(x0, y0, data.content*self.steps[HORZ], self.steps[VERT])
> - self.context.fill()
> - x0 += data.content*self.steps[HORZ]
> - else:
> - for i,group in enumerate(self.series):
> - inner_step = self.steps[VERT]/len(group)
> - x0 = self.borders[HORZ]
> - y0 = self.border + i*self.steps[VERT] + (i+1)*self.space
> - for number,data in enumerate(group):
> - linear = cairo.LinearGradient(data.content*self.steps[HORZ]/2, y0, data.content*self.steps[HORZ]/2, y0 + inner_step)
> - color = self.series_colors[number]
> - linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
> - linear.add_color_stop_rgba(1.0, *color[:4])
> - self.context.set_source(linear)
> - if self.rounded_corners and data.content != 0:
> - BarPlot.draw_round_rectangle(self,x0, y0, x0 + data.content*self.steps[HORZ], y0 + inner_step)
> - self.context.fill()
> - else:
> - self.context.rectangle(x0, y0, data.content*self.steps[HORZ], inner_step)
> - self.context.fill()
> - y0 += inner_step
> -
> -class VerticalBarPlot(BarPlot):
> - def __init__(self,
> - surface = None,
> - data = None,
> - width = 640,
> - height = 480,
> - background = "white light_gray",
> - border = 0,
> - display_values = False,
> - grid = False,
> - rounded_corners = False,
> - stack = False,
> - three_dimension = False,
> - series_labels = None,
> - x_labels = None,
> - y_labels = None,
> - x_bounds = None,
> - y_bounds = None,
> - series_colors = None):
> -
> - BarPlot.__init__(self, surface, data, width, height, background, border,
> - display_values, grid, rounded_corners, stack, three_dimension,
> - x_labels, y_labels, x_bounds, y_bounds, series_colors, VERT)
> - self.series_labels = series_labels
> -
> - def calc_vert_extents(self):
> - self.calc_extents(VERT)
> - if self.labels[VERT] and not self.labels[HORZ]:
> - self.borders[VERT] += 10
> -
> - def draw_rectangle_bottom(self, x0, y0, x1, y1):
> - self.context.move_to(x1,y1)
> - self.context.arc(x1-5, y1-5, 5, 0, math.pi/2)
> - self.context.line_to(x0+5, y1)
> - self.context.arc(x0+5, y1-5, 5, math.pi/2, math.pi)
> - self.context.line_to(x0, y0)
> - self.context.line_to(x1, y0)
> - self.context.line_to(x1, y1)
> - self.context.close_path()
> -
> - def draw_rectangle_top(self, x0, y0, x1, y1):
> - self.context.arc(x0+5, y0+5, 5, -math.pi, -math.pi/2)
> - self.context.line_to(x1-5, y0)
> - self.context.arc(x1-5, y0+5, 5, -math.pi/2, 0)
> - self.context.line_to(x1, y1)
> - self.context.line_to(x0, y1)
> - self.context.line_to(x0, y0)
> - self.context.close_path()
> -
> - def draw_rectangle(self, index, length, x0, y0, x1, y1):
> - if length == 1:
> - BarPlot.draw_rectangle(self, x0, y0, x1, y1)
> - elif index == 0:
> - self.draw_rectangle_bottom(x0, y0, x1, y1)
> - elif index == length-1:
> - self.draw_rectangle_top(x0, y0, x1, y1)
> - else:
> - self.context.rectangle(x0, y0, x1-x0, y1-y0)
> -
> - def render_grid(self):
> - self.context.set_source_rgba(0.8, 0.8, 0.8)
> - if self.labels[VERT]:
> - lines = len(self.labels[VERT])
> - vertical_step = float(self.plot_dimensions[self.main_dir])/(lines-1)
> - y = self.borders[VERT] + self.value_label
> - else:
> - lines = 11
> - vertical_step = float(self.plot_dimensions[self.main_dir])/(lines-1)
> - y = 1.2*self.border + self.value_label
> - for x in xrange(0, lines):
> - self.context.move_to(self.borders[HORZ], y)
> - self.context.line_to(self.dimensions[HORZ] - self.border, y)
> - self.context.stroke()
> - y += vertical_step
> -
> - def render_ground(self):
> - self.draw_3d_rectangle_front(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
> - self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
> - self.context.fill()
> -
> - self.draw_3d_rectangle_side (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
> - self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
> - self.context.fill()
> -
> - self.draw_3d_rectangle_top (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
> - self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
> - self.context.fill()
> -
> - def render_horz_labels(self):
> - series_length = len(self.labels[HORZ])
> - step = float (self.plot_dimensions[HORZ] - (series_length + 1)*self.space)/len(self.labels[HORZ])
> - x = self.borders[HORZ] + step/2 + self.space
> - next_x = 0
> -
> - for item in self.labels[HORZ]:
> - self.context.set_source_rgba(*self.label_color)
> - width = self.context.text_extents(item)[2]
> - if x - width/2 > next_x and x - width/2 > self.borders[HORZ]:
> - self.context.move_to(x - width/2, self.dimensions[VERT] - self.borders[VERT] + self.max_value[HORZ] + 3)
> - self.context.show_text(item)
> - next_x = x + width/2
> - x += step + self.space
> -
> - def render_vert_labels(self):
> - self.context.set_source_rgba(*self.label_color)
> - y = self.borders[VERT] + self.value_label
> - step = (self.dimensions[VERT] - 2*self.borders[VERT] - self.value_label)/(len(self.labels[VERT]) - 1)
> - self.labels[VERT].reverse()
> - for item in self.labels[VERT]:
> - width, height = self.context.text_extents(item)[2:4]
> - self.context.move_to(self.borders[HORZ] - width - 5, y + height/2)
> - self.context.show_text(item)
> - y += step
> - self.labels[VERT].reverse()
> -
> - def render_values(self):
> - self.context.set_source_rgba(*self.value_label_color)
> - self.context.set_font_size(self.font_size * 0.8)
> - if self.stack:
> - for i,group in enumerate(self.series):
> - value = sum(group.to_list())
> - width = self.context.text_extents(str(value))[2]
> - x = self.borders[HORZ] + (i+0.5)*self.steps[HORZ] + (i+1)*self.space - width/2
> - y = value*self.steps[VERT] + 2
> - self.context.move_to(x, self.plot_top-y)
> - self.context.show_text(str(value))
> - else:
> - for i,group in enumerate(self.series):
> - inner_step = self.steps[HORZ]/len(group)
> - x0 = self.borders[HORZ] + i*self.steps[HORZ] + (i+1)*self.space
> - for number,data in enumerate(group):
> - width = self.context.text_extents(str(data.content))[2]
> - self.context.move_to(x0 + 0.5*inner_step - width/2, self.plot_top - data.content*self.steps[VERT] - 2)
> - self.context.show_text(str(data.content))
> - x0 += inner_step
> -
> - def render_plot(self):
> - if self.stack:
> - for i,group in enumerate(self.series):
> - x0 = self.borders[HORZ] + i*self.steps[HORZ] + (i+1)*self.space
> - y0 = 0
> - for number,data in enumerate(group):
> - if self.series_colors[number][4] in ('linear','radial'):
> - linear = cairo.LinearGradient( x0, data.content*self.steps[VERT]/2, x0 + self.steps[HORZ], data.content*self.steps[VERT]/2 )
> - color = self.series_colors[number]
> - linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
> - linear.add_color_stop_rgba(1.0, *color[:4])
> - self.context.set_source(linear)
> - elif self.series_colors[number][4] == 'solid':
> - self.context.set_source_rgba(*self.series_colors[number][:4])
> - if self.rounded_corners:
> - self.draw_rectangle(number, len(group), x0, self.plot_top - y0 - data.content*self.steps[VERT], x0 + self.steps[HORZ], self.plot_top - y0)
> - self.context.fill()
> - else:
> - self.context.rectangle(x0, self.plot_top - y0 - data.content*self.steps[VERT], self.steps[HORZ], data.content*self.steps[VERT])
> - self.context.fill()
> - y0 += data.content*self.steps[VERT]
> - else:
> - for i,group in enumerate(self.series):
> - inner_step = self.steps[HORZ]/len(group)
> - y0 = self.borders[VERT]
> - x0 = self.borders[HORZ] + i*self.steps[HORZ] + (i+1)*self.space
> - for number,data in enumerate(group):
> - if self.series_colors[number][4] == 'linear':
> - linear = cairo.LinearGradient( x0, data.content*self.steps[VERT]/2, x0 + inner_step, data.content*self.steps[VERT]/2 )
> - color = self.series_colors[number]
> - linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
> - linear.add_color_stop_rgba(1.0, *color[:4])
> - self.context.set_source(linear)
> - elif self.series_colors[number][4] == 'solid':
> - self.context.set_source_rgba(*self.series_colors[number][:4])
> - if self.rounded_corners and data.content != 0:
> - BarPlot.draw_round_rectangle(self, x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top)
> - self.context.fill()
> - elif self.three_dimension:
> - self.draw_3d_rectangle_front(x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top, 5)
> - self.context.fill()
> - self.draw_3d_rectangle_side(x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top, 5)
> - self.context.fill()
> - self.draw_3d_rectangle_top(x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top, 5)
> - self.context.fill()
> - else:
> - self.context.rectangle(x0, self.plot_top - data.content*self.steps[VERT], inner_step, data.content*self.steps[VERT])
> - self.context.fill()
> -
> - x0 += inner_step
> -
> -class StreamChart(VerticalBarPlot):
> - def __init__(self,
> - surface = None,
> - data = None,
> - width = 640,
> - height = 480,
> - background = "white light_gray",
> - border = 0,
> - grid = False,
> - series_legend = None,
> - x_labels = None,
> - x_bounds = None,
> - y_bounds = None,
> - series_colors = None):
> -
> - VerticalBarPlot.__init__(self, surface, data, width, height, background, border,
> - False, grid, False, True, False,
> - None, x_labels, None, x_bounds, y_bounds, series_colors)
> -
> - def calc_steps(self):
> - other_dir = other_direction(self.main_dir)
> - self.series_amplitude = self.bounds[self.main_dir][1] - self.bounds[self.main_dir][0]
> - if self.series_amplitude:
> - self.steps[self.main_dir] = float(self.plot_dimensions[self.main_dir])/self.series_amplitude
> - else:
> - self.steps[self.main_dir] = 0.00
> - series_length = len(self.data)
> - self.steps[other_dir] = float(self.plot_dimensions[other_dir])/series_length
> -
> - def render_legend(self):
> - pass
> -
> - def ground(self, index):
> - sum_values = sum(self.data[index])
> - return -0.5*sum_values
> -
> - def calc_angles(self):
> - middle = self.plot_top - self.plot_dimensions[VERT]/2.0
> - self.angles = [tuple([0.0 for x in range(len(self.data)+1)])]
> - for x_index in range(1, len(self.data)-1):
> - t = []
> - x0 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ]
> - x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ]
> - y0 = middle - self.ground(x_index-1)*self.steps[VERT]
> - y2 = middle - self.ground(x_index+1)*self.steps[VERT]
> - t.append(math.atan(float(y0-y2)/(x0-x2)))
> - for data_index in range(len(self.data[x_index])):
> - x0 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ]
> - x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ]
> - y0 = middle - self.ground(x_index-1)*self.steps[VERT] - self.data[x_index-1][data_index]*self.steps[VERT]
> - y2 = middle - self.ground(x_index+1)*self.steps[VERT] - self.data[x_index+1][data_index]*self.steps[VERT]
> -
> - for i in range(0,data_index):
> - y0 -= self.data[x_index-1][i]*self.steps[VERT]
> - y2 -= self.data[x_index+1][i]*self.steps[VERT]
> -
> - if data_index == len(self.data[0])-1 and False:
> - self.context.set_source_rgba(0.0,0.0,0.0,0.3)
> - self.context.move_to(x0,y0)
> - self.context.line_to(x2,y2)
> - self.context.stroke()
> - self.context.arc(x0,y0,2,0,2*math.pi)
> - self.context.fill()
> - t.append(math.atan(float(y0-y2)/(x0-x2)))
> - self.angles.append(tuple(t))
> - self.angles.append(tuple([0.0 for x in range(len(self.data)+1)]))
> -
> - def render_plot(self):
> - self.calc_angles()
> - middle = self.plot_top - self.plot_dimensions[VERT]/2.0
> - p = 0.4*self.steps[HORZ]
> - for data_index in range(len(self.data[0])-1,-1,-1):
> - self.context.set_source_rgba(*self.series_colors[data_index][:4])
> -
> - #draw the upper line
> - for x_index in range(len(self.data)-1) :
> - x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ]
> - y1 = middle - self.ground(x_index)*self.steps[VERT] - self.data[x_index][data_index]*self.steps[VERT]
> - x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ]
> - y2 = middle - self.ground(x_index + 1)*self.steps[VERT] - self.data[x_index + 1][data_index]*self.steps[VERT]
> -
> - for i in range(0,data_index):
> - y1 -= self.data[x_index][i]*self.steps[VERT]
> - y2 -= self.data[x_index+1][i]*self.steps[VERT]
> -
> - if x_index == 0:
> - self.context.move_to(x1,y1)
> -
> - ang1 = self.angles[x_index][data_index+1]
> - ang2 = self.angles[x_index+1][data_index+1] + math.pi
> - self.context.curve_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1),
> - x2+p*math.cos(ang2),y2+p*math.sin(ang2),
> - x2,y2)
> -
> - for x_index in range(len(self.data)-1,0,-1) :
> - x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ]
> - y1 = middle - self.ground(x_index)*self.steps[VERT]
> - x2 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ]
> - y2 = middle - self.ground(x_index - 1)*self.steps[VERT]
> -
> - for i in range(0,data_index):
> - y1 -= self.data[x_index][i]*self.steps[VERT]
> - y2 -= self.data[x_index-1][i]*self.steps[VERT]
> -
> - if x_index == len(self.data)-1:
> - self.context.line_to(x1,y1+2)
> -
> - #revert angles by pi degrees to take the turn back
> - ang1 = self.angles[x_index][data_index] + math.pi
> - ang2 = self.angles[x_index-1][data_index]
> - self.context.curve_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1),
> - x2+p*math.cos(ang2),y2+p*math.sin(ang2),
> - x2,y2+2)
> -
> - self.context.close_path()
> - self.context.fill()
> -
> - if False:
> - self.context.move_to(self.borders[HORZ] + 0.5*self.steps[HORZ], middle)
> - for x_index in range(len(self.data)-1) :
> - x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ]
> - y1 = middle - self.ground(x_index)*self.steps[VERT] - self.data[x_index][data_index]*self.steps[VERT]
> - x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ]
> - y2 = middle - self.ground(x_index + 1)*self.steps[VERT] - self.data[x_index + 1][data_index]*self.steps[VERT]
> -
> - for i in range(0,data_index):
> - y1 -= self.data[x_index][i]*self.steps[VERT]
> - y2 -= self.data[x_index+1][i]*self.steps[VERT]
> -
> - ang1 = self.angles[x_index][data_index+1]
> - ang2 = self.angles[x_index+1][data_index+1] + math.pi
> - self.context.set_source_rgba(1.0,0.0,0.0)
> - self.context.arc(x1+p*math.cos(ang1),y1+p*math.sin(ang1),2,0,2*math.pi)
> - self.context.fill()
> - self.context.set_source_rgba(0.0,0.0,0.0)
> - self.context.arc(x2+p*math.cos(ang2),y2+p*math.sin(ang2),2,0,2*math.pi)
> - self.context.fill()
> - '''self.context.set_source_rgba(0.0,0.0,0.0,0.3)
> - self.context.arc(x2,y2,2,0,2*math.pi)
> - self.context.fill()'''
> - self.context.move_to(x1,y1)
> - self.context.line_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1))
> - self.context.stroke()
> - self.context.move_to(x2,y2)
> - self.context.line_to(x2+p*math.cos(ang2),y2+p*math.sin(ang2))
> - self.context.stroke()
> - if False:
> - for x_index in range(len(self.data)-1,0,-1) :
> - x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ]
> - y1 = middle - self.ground(x_index)*self.steps[VERT]
> - x2 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ]
> - y2 = middle - self.ground(x_index - 1)*self.steps[VERT]
> -
> - for i in range(0,data_index):
> - y1 -= self.data[x_index][i]*self.steps[VERT]
> - y2 -= self.data[x_index-1][i]*self.steps[VERT]
> -
> - #revert angles by pi degrees to take the turn back
> - ang1 = self.angles[x_index][data_index] + math.pi
> - ang2 = self.angles[x_index-1][data_index]
> - self.context.set_source_rgba(0.0,1.0,0.0)
> - self.context.arc(x1+p*math.cos(ang1),y1+p*math.sin(ang1),2,0,2*math.pi)
> - self.context.fill()
> - self.context.set_source_rgba(0.0,0.0,1.0)
> - self.context.arc(x2+p*math.cos(ang2),y2+p*math.sin(ang2),2,0,2*math.pi)
> - self.context.fill()
> - '''self.context.set_source_rgba(0.0,0.0,0.0,0.3)
> - self.context.arc(x2,y2,2,0,2*math.pi)
> - self.context.fill()'''
> - self.context.move_to(x1,y1)
> - self.context.line_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1))
> - self.context.stroke()
> - self.context.move_to(x2,y2)
> - self.context.line_to(x2+p*math.cos(ang2),y2+p*math.sin(ang2))
> - self.context.stroke()
> - #break
> -
> - #self.context.arc(self.dimensions[HORZ]/2, self.dimensions[VERT]/2,50,0,3*math.pi/2)
> - #self.context.fill()
> -
> -
> -class PiePlot(Plot):
> - #TODO: Check the old cairoplot, graphs aren't matching
> - def __init__ (self,
> - surface = None,
> - data = None,
> - width = 640,
> - height = 480,
> - background = "white light_gray",
> - gradient = False,
> - shadow = False,
> - colors = None):
> -
> - Plot.__init__( self, surface, data, width, height, background, series_colors = colors )
> - self.center = (self.dimensions[HORZ]/2, self.dimensions[VERT]/2)
> - self.total = sum( self.series.to_list() )
> - self.radius = min(self.dimensions[HORZ]/3,self.dimensions[VERT]/3)
> - self.gradient = gradient
> - self.shadow = shadow
> -
> - def sort_function(x,y):
> - return x.content - y.content
> -
> - def load_series(self, data, x_labels=None, y_labels=None, series_colors=None):
> - Plot.load_series(self, data, x_labels, y_labels, series_colors)
> - # Already done inside series
> - #self.data = sorted(self.data)
> -
> - def draw_piece(self, angle, next_angle):
> - self.context.move_to(self.center[0],self.center[1])
> - self.context.line_to(self.center[0] + self.radius*math.cos(angle), self.center[1] + self.radius*math.sin(angle))
> - self.context.arc(self.center[0], self.center[1], self.radius, angle, next_angle)
> - self.context.line_to(self.center[0], self.center[1])
> - self.context.close_path()
> -
> - def render(self):
> - self.render_background()
> - self.render_bounding_box()
> - if self.shadow:
> - self.render_shadow()
> - self.render_plot()
> - self.render_series_labels()
> -
> - def render_shadow(self):
> - horizontal_shift = 3
> - vertical_shift = 3
> - self.context.set_source_rgba(0, 0, 0, 0.5)
> - self.context.arc(self.center[0] + horizontal_shift, self.center[1] + vertical_shift, self.radius, 0, 2*math.pi)
> - self.context.fill()
> -
> - def render_series_labels(self):
> - angle = 0
> - next_angle = 0
> - x0,y0 = self.center
> - cr = self.context
> - for number,key in enumerate(self.series_labels):
> - # self.data[number] should be just a number
> - data = sum(self.series[number].to_list())
> -
> - next_angle = angle + 2.0*math.pi*data/self.total
> - cr.set_source_rgba(*self.series_colors[number][:4])
> - w = cr.text_extents(key)[2]
> - if (angle + next_angle)/2 < math.pi/2 or (angle + next_angle)/2 > 3*math.pi/2:
> - cr.move_to(x0 + (self.radius+10)*math.cos((angle+next_angle)/2), y0 + (self.radius+10)*math.sin((angle+next_angle)/2) )
> - else:
> - cr.move_to(x0 + (self.radius+10)*math.cos((angle+next_angle)/2) - w, y0 + (self.radius+10)*math.sin((angle+next_angle)/2) )
> - cr.show_text(key)
> - angle = next_angle
> -
> - def render_plot(self):
> - angle = 0
> - next_angle = 0
> - x0,y0 = self.center
> - cr = self.context
> - for number,group in enumerate(self.series):
> - # Group should be just a number
> - data = sum(group.to_list())
> - next_angle = angle + 2.0*math.pi*data/self.total
> - if self.gradient or self.series_colors[number][4] in ('linear','radial'):
> - gradient_color = cairo.RadialGradient(self.center[0], self.center[1], 0, self.center[0], self.center[1], self.radius)
> - gradient_color.add_color_stop_rgba(0.3, *self.series_colors[number][:4])
> - gradient_color.add_color_stop_rgba(1, self.series_colors[number][0]*0.7,
> - self.series_colors[number][1]*0.7,
> - self.series_colors[number][2]*0.7,
> - self.series_colors[number][3])
> - cr.set_source(gradient_color)
> - else:
> - cr.set_source_rgba(*self.series_colors[number][:4])
> -
> - self.draw_piece(angle, next_angle)
> - cr.fill()
> -
> - cr.set_source_rgba(1.0, 1.0, 1.0)
> - self.draw_piece(angle, next_angle)
> - cr.stroke()
> -
> - angle = next_angle
> -
> -class DonutPlot(PiePlot):
> - def __init__ (self,
> - surface = None,
> - data = None,
> - width = 640,
> - height = 480,
> - background = "white light_gray",
> - gradient = False,
> - shadow = False,
> - colors = None,
> - inner_radius=-1):
> -
> - Plot.__init__( self, surface, data, width, height, background, series_colors = colors )
> -
> - self.center = ( self.dimensions[HORZ]/2, self.dimensions[VERT]/2 )
> - self.total = sum( self.series.to_list() )
> - self.radius = min( self.dimensions[HORZ]/3,self.dimensions[VERT]/3 )
> - self.inner_radius = inner_radius*self.radius
> -
> - if inner_radius == -1:
> - self.inner_radius = self.radius/3
> -
> - self.gradient = gradient
> - self.shadow = shadow
> -
> - def draw_piece(self, angle, next_angle):
> - self.context.move_to(self.center[0] + (self.inner_radius)*math.cos(angle), self.center[1] + (self.inner_radius)*math.sin(angle))
> - self.context.line_to(self.center[0] + self.radius*math.cos(angle), self.center[1] + self.radius*math.sin(angle))
> - self.context.arc(self.center[0], self.center[1], self.radius, angle, next_angle)
> - self.context.line_to(self.center[0] + (self.inner_radius)*math.cos(next_angle), self.center[1] + (self.inner_radius)*math.sin(next_angle))
> - self.context.arc_negative(self.center[0], self.center[1], self.inner_radius, next_angle, angle)
> - self.context.close_path()
> -
> - def render_shadow(self):
> - horizontal_shift = 3
> - vertical_shift = 3
> - self.context.set_source_rgba(0, 0, 0, 0.5)
> - self.context.arc(self.center[0] + horizontal_shift, self.center[1] + vertical_shift, self.inner_radius, 0, 2*math.pi)
> - self.context.arc_negative(self.center[0] + horizontal_shift, self.center[1] + vertical_shift, self.radius, 0, -2*math.pi)
> - self.context.fill()
> -
> -class GanttChart (Plot) :
> - def __init__(self,
> - surface = None,
> - data = None,
> - width = 640,
> - height = 480,
> - x_labels = None,
> - y_labels = None,
> - colors = None):
> - self.bounds = {}
> - self.max_value = {}
> - Plot.__init__(self, surface, data, width, height, x_labels = x_labels, y_labels = y_labels, series_colors = colors)
> -
> - def load_series(self, data, x_labels=None, y_labels=None, series_colors=None):
> - Plot.load_series(self, data, x_labels, y_labels, series_colors)
> - self.calc_boundaries()
> -
> - def calc_boundaries(self):
> - self.bounds[HORZ] = (0,len(self.series))
> - end_pos = max(self.series.to_list())
> -
> - #for group in self.series:
> - # if hasattr(item, "__delitem__"):
> - # for sub_item in item:
> - # end_pos = max(sub_item)
> - # else:
> - # end_pos = max(item)
> - self.bounds[VERT] = (0,end_pos)
> -
> - def calc_extents(self, direction):
> - self.max_value[direction] = 0
> - if self.labels[direction]:
> - self.max_value[direction] = max(self.context.text_extents(item)[2] for item in self.labels[direction])
> - else:
> - self.max_value[direction] = self.context.text_extents( str(self.bounds[direction][1] + 1) )[2]
> -
> - def calc_horz_extents(self):
> - self.calc_extents(HORZ)
> - self.borders[HORZ] = 100 + self.max_value[HORZ]
> -
> - def calc_vert_extents(self):
> - self.calc_extents(VERT)
> - self.borders[VERT] = self.dimensions[VERT]/(self.bounds[HORZ][1] + 1)
> -
> - def calc_steps(self):
> - self.horizontal_step = (self.dimensions[HORZ] - self.borders[HORZ])/(len(self.labels[VERT]))
> - self.vertical_step = self.borders[VERT]
> -
> - def render(self):
> - self.calc_horz_extents()
> - self.calc_vert_extents()
> - self.calc_steps()
> - self.render_background()
> -
> - self.render_labels()
> - self.render_grid()
> - self.render_plot()
> -
> - def render_background(self):
> - cr = self.context
> - cr.set_source_rgba(255,255,255)
> - cr.rectangle(0,0,self.dimensions[HORZ], self.dimensions[VERT])
> - cr.fill()
> - for number,group in enumerate(self.series):
> - linear = cairo.LinearGradient(self.dimensions[HORZ]/2, self.borders[VERT] + number*self.vertical_step,
> - self.dimensions[HORZ]/2, self.borders[VERT] + (number+1)*self.vertical_step)
> - linear.add_color_stop_rgba(0,1.0,1.0,1.0,1.0)
> - linear.add_color_stop_rgba(1.0,0.9,0.9,0.9,1.0)
> - cr.set_source(linear)
> - cr.rectangle(0,self.borders[VERT] + number*self.vertical_step,self.dimensions[HORZ],self.vertical_step)
> - cr.fill()
> -
> - def render_grid(self):
> - cr = self.context
> - cr.set_source_rgba(0.7, 0.7, 0.7)
> - cr.set_dash((1,0,0,0,0,0,1))
> - cr.set_line_width(0.5)
> - for number,label in enumerate(self.labels[VERT]):
> - h = cr.text_extents(label)[3]
> - cr.move_to(self.borders[HORZ] + number*self.horizontal_step, self.vertical_step/2 + h)
> - cr.line_to(self.borders[HORZ] + number*self.horizontal_step, self.dimensions[VERT])
> - cr.stroke()
> -
> - def render_labels(self):
> - self.context.set_font_size(0.02 * self.dimensions[HORZ])
> -
> - self.render_horz_labels()
> - self.render_vert_labels()
> -
> - def render_horz_labels(self):
> - cr = self.context
> - labels = self.labels[HORZ]
> - if not labels:
> - labels = [str(i) for i in range(1, self.bounds[HORZ][1] + 1) ]
> - for number,label in enumerate(labels):
> - if label != None:
> - cr.set_source_rgba(0.5, 0.5, 0.5)
> - w,h = cr.text_extents(label)[2], cr.text_extents(label)[3]
> - cr.move_to(40,self.borders[VERT] + number*self.vertical_step + self.vertical_step/2 + h/2)
> - cr.show_text(label)
> -
> - def render_vert_labels(self):
> - cr = self.context
> - labels = self.labels[VERT]
> - if not labels:
> - labels = [str(i) for i in range(1, self.bounds[VERT][1] + 1) ]
> - for number,label in enumerate(labels):
> - w,h = cr.text_extents(label)[2], cr.text_extents(label)[3]
> - cr.move_to(self.borders[HORZ] + number*self.horizontal_step - w/2, self.vertical_step/2)
> - cr.show_text(label)
> -
> - def render_rectangle(self, x0, y0, x1, y1, color):
> - self.draw_shadow(x0, y0, x1, y1)
> - self.draw_rectangle(x0, y0, x1, y1, color)
> -
> - def draw_rectangular_shadow(self, gradient, x0, y0, w, h):
> - self.context.set_source(gradient)
> - self.context.rectangle(x0,y0,w,h)
> - self.context.fill()
> -
> - def draw_circular_shadow(self, x, y, radius, ang_start, ang_end, mult, shadow):
> - gradient = cairo.RadialGradient(x, y, 0, x, y, 2*radius)
> - gradient.add_color_stop_rgba(0, 0, 0, 0, shadow)
> - gradient.add_color_stop_rgba(1, 0, 0, 0, 0)
> - self.context.set_source(gradient)
> - self.context.move_to(x,y)
> - self.context.line_to(x + mult[0]*radius,y + mult[1]*radius)
> - self.context.arc(x, y, 8, ang_start, ang_end)
> - self.context.line_to(x,y)
> - self.context.close_path()
> - self.context.fill()
> -
> - def draw_rectangle(self, x0, y0, x1, y1, color):
> - cr = self.context
> - middle = (x0+x1)/2
> - linear = cairo.LinearGradient(middle,y0,middle,y1)
> - linear.add_color_stop_rgba(0,3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
> - linear.add_color_stop_rgba(1,*color[:4])
> - cr.set_source(linear)
> -
> - cr.arc(x0+5, y0+5, 5, 0, 2*math.pi)
> - cr.arc(x1-5, y0+5, 5, 0, 2*math.pi)
> - cr.arc(x0+5, y1-5, 5, 0, 2*math.pi)
> - cr.arc(x1-5, y1-5, 5, 0, 2*math.pi)
> - cr.rectangle(x0+5,y0,x1-x0-10,y1-y0)
> - cr.rectangle(x0,y0+5,x1-x0,y1-y0-10)
> - cr.fill()
> -
> - def draw_shadow(self, x0, y0, x1, y1):
> - shadow = 0.4
> - h_mid = (x0+x1)/2
> - v_mid = (y0+y1)/2
> - h_linear_1 = cairo.LinearGradient(h_mid,y0-4,h_mid,y0+4)
> - h_linear_2 = cairo.LinearGradient(h_mid,y1-4,h_mid,y1+4)
> - v_linear_1 = cairo.LinearGradient(x0-4,v_mid,x0+4,v_mid)
> - v_linear_2 = cairo.LinearGradient(x1-4,v_mid,x1+4,v_mid)
> -
> - h_linear_1.add_color_stop_rgba( 0, 0, 0, 0, 0)
> - h_linear_1.add_color_stop_rgba( 1, 0, 0, 0, shadow)
> - h_linear_2.add_color_stop_rgba( 0, 0, 0, 0, shadow)
> - h_linear_2.add_color_stop_rgba( 1, 0, 0, 0, 0)
> - v_linear_1.add_color_stop_rgba( 0, 0, 0, 0, 0)
> - v_linear_1.add_color_stop_rgba( 1, 0, 0, 0, shadow)
> - v_linear_2.add_color_stop_rgba( 0, 0, 0, 0, shadow)
> - v_linear_2.add_color_stop_rgba( 1, 0, 0, 0, 0)
> -
> - self.draw_rectangular_shadow(h_linear_1,x0+4,y0-4,x1-x0-8,8)
> - self.draw_rectangular_shadow(h_linear_2,x0+4,y1-4,x1-x0-8,8)
> - self.draw_rectangular_shadow(v_linear_1,x0-4,y0+4,8,y1-y0-8)
> - self.draw_rectangular_shadow(v_linear_2,x1-4,y0+4,8,y1-y0-8)
> -
> - self.draw_circular_shadow(x0+4, y0+4, 4, math.pi, 3*math.pi/2, (-1,0), shadow)
> - self.draw_circular_shadow(x1-4, y0+4, 4, 3*math.pi/2, 2*math.pi, (0,-1), shadow)
> - self.draw_circular_shadow(x0+4, y1-4, 4, math.pi/2, math.pi, (0,1), shadow)
> - self.draw_circular_shadow(x1-4, y1-4, 4, 0, math.pi/2, (1,0), shadow)
> -
> - def render_plot(self):
> - for index,group in enumerate(self.series):
> - for data in group:
> - self.render_rectangle(self.borders[HORZ] + data.content[0]*self.horizontal_step,
> - self.borders[VERT] + index*self.vertical_step + self.vertical_step/4.0,
> - self.borders[HORZ] + data.content[1]*self.horizontal_step,
> - self.borders[VERT] + index*self.vertical_step + 3.0*self.vertical_step/4.0,
> - self.series_colors[index])
> -
> -# Function definition
> -
> -def scatter_plot(name,
> - data = None,
> - errorx = None,
> - errory = None,
> - width = 640,
> - height = 480,
> - background = "white light_gray",
> - border = 0,
> - axis = False,
> - dash = False,
> - discrete = False,
> - dots = False,
> - grid = False,
> - series_legend = False,
> - x_labels = None,
> - y_labels = None,
> - x_bounds = None,
> - y_bounds = None,
> - z_bounds = None,
> - x_title = None,
> - y_title = None,
> - series_colors = None,
> - circle_colors = None):
> -
> - '''
> - - Function to plot scatter data.
> -
> - - Parameters
> -
> - data - The values to be ploted might be passed in a two basic:
> - list of points: [(0,0), (0,1), (0,2)] or [(0,0,1), (0,1,4), (0,2,1)]
> - lists of coordinates: [ [0,0,0] , [0,1,2] ] or [ [0,0,0] , [0,1,2] , [1,4,1] ]
> - Notice that these kinds of that can be grouped in order to form more complex data
> - using lists of lists or dictionaries;
> - series_colors - Define color values for each of the series
> - circle_colors - Define a lower and an upper bound for the circle colors for variable radius
> - (3 dimensions) series
> - '''
> -
> - plot = ScatterPlot( name, data, errorx, errory, width, height, background, border,
> - axis, dash, discrete, dots, grid, series_legend, x_labels, y_labels,
> - x_bounds, y_bounds, z_bounds, x_title, y_title, series_colors, circle_colors )
> - plot.render()
> - plot.commit()
> -
> -def dot_line_plot(name,
> - data,
> - width,
> - height,
> - background = "white light_gray",
> - border = 0,
> - axis = False,
> - dash = False,
> - dots = False,
> - grid = False,
> - series_legend = False,
> - x_labels = None,
> - y_labels = None,
> - x_bounds = None,
> - y_bounds = None,
> - x_title = None,
> - y_title = None,
> - series_colors = None):
> - '''
> - - Function to plot graphics using dots and lines.
> -
> - dot_line_plot (name, data, width, height, background = "white light_gray", border = 0, axis = False, grid = False, x_labels = None, y_labels = None, x_bounds = None, y_bounds = None)
> -
> - - Parameters
> -
> - name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
> - data - The list, list of lists or dictionary holding the data to be plotted;
> - width, height - Dimensions of the output image;
> - background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
> - If left None, a gray to white gradient will be generated;
> - border - Distance in pixels of a square border into which the graphics will be drawn;
> - axis - Whether or not the axis are to be drawn;
> - dash - Boolean or a list or a dictionary of booleans indicating whether or not the associated series should be drawn in dashed mode;
> - dots - Whether or not dots should be drawn on each point;
> - grid - Whether or not the gris is to be drawn;
> - series_legend - Whether or not the legend is to be drawn;
> - x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis;
> - x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted;
> - x_title - Whether or not to plot a title over the x axis.
> - y_title - Whether or not to plot a title over the y axis.
> -
> - - Examples of use
> -
> - data = [0, 1, 3, 8, 9, 0, 10, 10, 2, 1]
> - CairoPlot.dot_line_plot('teste', data, 400, 300)
> -
> - data = { "john" : [10, 10, 10, 10, 30], "mary" : [0, 0, 3, 5, 15], "philip" : [13, 32, 11, 25, 2] }
> - x_labels = ["jan/2008", "feb/2008", "mar/2008", "apr/2008", "may/2008" ]
> - CairoPlot.dot_line_plot( 'test', data, 400, 300, axis = True, grid = True,
> - series_legend = True, x_labels = x_labels )
> - '''
> - plot = DotLinePlot( name, data, width, height, background, border,
> - axis, dash, dots, grid, series_legend, x_labels, y_labels,
> - x_bounds, y_bounds, x_title, y_title, series_colors )
> - plot.render()
> - plot.commit()
> -
> -def function_plot(name,
> - data,
> - width,
> - height,
> - background = "white light_gray",
> - border = 0,
> - axis = True,
> - dots = False,
> - discrete = False,
> - grid = False,
> - series_legend = False,
> - x_labels = None,
> - y_labels = None,
> - x_bounds = None,
> - y_bounds = None,
> - x_title = None,
> - y_title = None,
> - series_colors = None,
> - step = 1):
> -
> - '''
> - - Function to plot functions.
> -
> - function_plot(name, data, width, height, background = "white light_gray", border = 0, axis = True, grid = False, dots = False, x_labels = None, y_labels = None, x_bounds = None, y_bounds = None, step = 1, discrete = False)
> -
> - - Parameters
> -
> - name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
> - data - The list, list of lists or dictionary holding the data to be plotted;
> - width, height - Dimensions of the output image;
> - background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
> - If left None, a gray to white gradient will be generated;
> - border - Distance in pixels of a square border into which the graphics will be drawn;
> - axis - Whether or not the axis are to be drawn;
> - grid - Whether or not the gris is to be drawn;
> - dots - Whether or not dots should be shown at each point;
> - x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis;
> - x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted;
> - step - the horizontal distance from one point to the other. The smaller, the smoother the curve will be;
> - discrete - whether or not the function should be plotted in discrete format.
> -
> - - Example of use
> -
> - data = lambda x : x**2
> - CairoPlot.function_plot('function4', data, 400, 300, grid = True, x_bounds=(-10,10), step = 0.1)
> - '''
> -
> - plot = FunctionPlot( name, data, width, height, background, border,
> - axis, discrete, dots, grid, series_legend, x_labels, y_labels,
> - x_bounds, y_bounds, x_title, y_title, series_colors, step )
> - plot.render()
> - plot.commit()
> -
> -def pie_plot( name, data, width, height, background = "white light_gray", gradient = False, shadow = False, colors = None ):
> -
> - '''
> - - Function to plot pie graphics.
> -
> - pie_plot(name, data, width, height, background = "white light_gray", gradient = False, colors = None)
> -
> - - Parameters
> -
> - name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
> - data - The list, list of lists or dictionary holding the data to be plotted;
> - width, height - Dimensions of the output image;
> - background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
> - If left None, a gray to white gradient will be generated;
> - gradient - Whether or not the pie color will be painted with a gradient;
> - shadow - Whether or not there will be a shadow behind the pie;
> - colors - List of slices colors.
> -
> - - Example of use
> -
> - teste_data = {"john" : 123, "mary" : 489, "philip" : 890 , "suzy" : 235}
> - CairoPlot.pie_plot("pie_teste", teste_data, 500, 500)
> - '''
> -
> - plot = PiePlot( name, data, width, height, background, gradient, shadow, colors )
> - plot.render()
> - plot.commit()
> -
> -def donut_plot(name, data, width, height, background = "white light_gray", gradient = False, shadow = False, colors = None, inner_radius = -1):
> -
> - '''
> - - Function to plot donut graphics.
> -
> - donut_plot(name, data, width, height, background = "white light_gray", gradient = False, inner_radius = -1)
> -
> - - Parameters
> -
> - name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
> - data - The list, list of lists or dictionary holding the data to be plotted;
> - width, height - Dimensions of the output image;
> - background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
> - If left None, a gray to white gradient will be generated;
> - shadow - Whether or not there will be a shadow behind the donut;
> - gradient - Whether or not the donut color will be painted with a gradient;
> - colors - List of slices colors;
> - inner_radius - The radius of the donut's inner circle.
> -
> - - Example of use
> -
> - teste_data = {"john" : 123, "mary" : 489, "philip" : 890 , "suzy" : 235}
> - CairoPlot.donut_plot("donut_teste", teste_data, 500, 500)
> - '''
> -
> - plot = DonutPlot(name, data, width, height, background, gradient, shadow, colors, inner_radius)
> - plot.render()
> - plot.commit()
> -
> -def gantt_chart(name, pieces, width, height, x_labels, y_labels, colors):
> -
> - '''
> - - Function to generate Gantt Charts.
> -
> - gantt_chart(name, pieces, width, height, x_labels, y_labels, colors):
> -
> - - Parameters
> -
> - name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
> - pieces - A list defining the spaces to be drawn. The user must pass, for each line, the index of its start and the index of its end. If a line must have two or more spaces, they must be passed inside a list;
> - width, height - Dimensions of the output image;
> - x_labels - A list of names for each of the vertical lines;
> - y_labels - A list of names for each of the horizontal spaces;
> - colors - List containing the colors expected for each of the horizontal spaces
> -
> - - Example of use
> -
> - pieces = [ (0.5,5.5) , [(0,4),(6,8)] , (5.5,7) , (7,8)]
> - x_labels = [ 'teste01', 'teste02', 'teste03', 'teste04']
> - y_labels = [ '0001', '0002', '0003', '0004', '0005', '0006', '0007', '0008', '0009', '0010' ]
> - colors = [ (1.0, 0.0, 0.0), (1.0, 0.7, 0.0), (1.0, 1.0, 0.0), (0.0, 1.0, 0.0) ]
> - CairoPlot.gantt_chart('gantt_teste', pieces, 600, 300, x_labels, y_labels, colors)
> - '''
> -
> - plot = GanttChart(name, pieces, width, height, x_labels, y_labels, colors)
> - plot.render()
> - plot.commit()
> -
> -def vertical_bar_plot(name,
> - data,
> - width,
> - height,
> - background = "white light_gray",
> - border = 0,
> - display_values = False,
> - grid = False,
> - rounded_corners = False,
> - stack = False,
> - three_dimension = False,
> - series_labels = None,
> - x_labels = None,
> - y_labels = None,
> - x_bounds = None,
> - y_bounds = None,
> - colors = None):
> - #TODO: Fix docstring for vertical_bar_plot
> - '''
> - - Function to generate vertical Bar Plot Charts.
> -
> - bar_plot(name, data, width, height, background, border, grid, rounded_corners, three_dimension,
> - x_labels, y_labels, x_bounds, y_bounds, colors):
> -
> - - Parameters
> -
> - name - Name of the desired output file, no need to input the .svg as it will be added at runtime;
> - data - The list, list of lists or dictionary holding the data to be plotted;
> - width, height - Dimensions of the output image;
> - background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
> - If left None, a gray to white gradient will be generated;
> - border - Distance in pixels of a square border into which the graphics will be drawn;
> - grid - Whether or not the gris is to be drawn;
> - rounded_corners - Whether or not the bars should have rounded corners;
> - three_dimension - Whether or not the bars should be drawn in pseudo 3D;
> - x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis;
> - x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted;
> - colors - List containing the colors expected for each of the bars.
> -
> - - Example of use
> -
> - data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
> - CairoPlot.vertical_bar_plot ('bar2', data, 400, 300, border = 20, grid = True, rounded_corners = False)
> - '''
> -
> - plot = VerticalBarPlot(name, data, width, height, background, border,
> - display_values, grid, rounded_corners, stack, three_dimension,
> - series_labels, x_labels, y_labels, x_bounds, y_bounds, colors)
> - plot.render()
> - plot.commit()
> -
> -def horizontal_bar_plot(name,
> - data,
> - width,
> - height,
> - background = "white light_gray",
> - border = 0,
> - display_values = False,
> - grid = False,
> - rounded_corners = False,
> - stack = False,
> - three_dimension = False,
> - series_labels = None,
> - x_labels = None,
> - y_labels = None,
> - x_bounds = None,
> - y_bounds = None,
> - colors = None):
> -
> - #TODO: Fix docstring for horizontal_bar_plot
> - '''
> - - Function to generate Horizontal Bar Plot Charts.
> -
> - bar_plot(name, data, width, height, background, border, grid, rounded_corners, three_dimension,
> - x_labels, y_labels, x_bounds, y_bounds, colors):
> -
> - - Parameters
> -
> - name - Name of the desired output file, no need to input the .svg as it will be added at runtime;
> - data - The list, list of lists or dictionary holding the data to be plotted;
> - width, height - Dimensions of the output image;
> - background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
> - If left None, a gray to white gradient will be generated;
> - border - Distance in pixels of a square border into which the graphics will be drawn;
> - grid - Whether or not the gris is to be drawn;
> - rounded_corners - Whether or not the bars should have rounded corners;
> - three_dimension - Whether or not the bars should be drawn in pseudo 3D;
> - x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis;
> - x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted;
> - colors - List containing the colors expected for each of the bars.
> -
> - - Example of use
> -
> - data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
> - CairoPlot.bar_plot ('bar2', data, 400, 300, border = 20, grid = True, rounded_corners = False)
> - '''
> -
> - plot = HorizontalBarPlot(name, data, width, height, background, border,
> - display_values, grid, rounded_corners, stack, three_dimension,
> - series_labels, x_labels, y_labels, x_bounds, y_bounds, colors)
> - plot.render()
> - plot.commit()
> -
> -def stream_chart(name,
> - data,
> - width,
> - height,
> - background = "white light_gray",
> - border = 0,
> - grid = False,
> - series_legend = None,
> - x_labels = None,
> - x_bounds = None,
> - y_bounds = None,
> - colors = None):
> -
> - #TODO: Fix docstring for horizontal_bar_plot
> - plot = StreamChart(name, data, width, height, background, border,
> - grid, series_legend, x_labels, x_bounds, y_bounds, colors)
> - plot.render()
> - plot.commit()
> -
> -
> -if __name__ == "__main__":
> - import tests
> - import seriestests
> diff --git a/bindings/python/examples/output_format_modules/pprint_table.py b/bindings/python/examples/output_format_modules/pprint_table.py
> deleted file mode 100644
> index a7e8255..0000000
> --- a/bindings/python/examples/output_format_modules/pprint_table.py
> +++ /dev/null
> @@ -1,37 +0,0 @@
> -# pprint_table.py
> -#
> -# This module is used to pretty-print a table
> -# Adapted from
> -# http://ginstrom.com/scribbles/2007/09/04/pretty-printing-a-table-in-python/
> -
> -import sys
> -
> -def get_max_width(table, index):
> - """Get the maximum width of the given column index"""
> -
> - return max([len(str(row[index])) for row in table])
> -
> -
> -def pprint_table(table, nbLeft=1, out=sys.stdout):
> - """
> - Prints out a table of data, padded for alignment
> - @param table: The table to print. A list of lists.
> - Each row must have the same number of columns.
> - @param nbLeft: The number of columns aligned left
> - @param out: Output stream (file-like object)
> - """
> -
> - col_paddings = []
> -
> - for i in range(len(table[0])):
> - col_paddings.append(get_max_width(table, i))
> -
> - for row in table:
> - # left cols
> - for i in range(nbLeft):
> - print >> out, str(row[i]).ljust(col_paddings[i] + 1),
> - # rest of the cols
> - for i in range(nbLeft, len(row)):
> - col = str(row[i]).rjust(col_paddings[i] + 2)
> - print >> out, col,
> - print >> out
> diff --git a/bindings/python/examples/output_format_modules/series.py b/bindings/python/examples/output_format_modules/series.py
> deleted file mode 100644
> index 8e8b236..0000000
> --- a/bindings/python/examples/output_format_modules/series.py
> +++ /dev/null
> @@ -1,1140 +0,0 @@
> -#!/usr/bin/env python
> -# -*- coding: utf-8 -*-
> -
> -# Serie.py
> -#
> -# Copyright (c) 2008 Magnun Leno da Silva
> -#
> -# Author: Magnun Leno da Silva <magnun.leno at gmail.com>
> -#
> -# This program is free software; you can redistribute it and/or
> -# modify it under the terms of the GNU Lesser General Public License
> -# as published by the Free Software Foundation; either version 2 of
> -# the License, or (at your option) any later version.
> -#
> -# This program is distributed in the hope that it will be useful,
> -# but WITHOUT ANY WARRANTY; without even the implied warranty of
> -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
> -# GNU General Public License for more details.
> -#
> -# You should have received a copy of the GNU Lesser General Public
> -# License along with this program; if not, write to the Free Software
> -# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
> -# USA
> -
> -# Contributor: Rodrigo Moreiro Araujo <alf.rodrigo at gmail.com>
> -
> -#import cairoplot
> -import doctest
> -
> -NUMTYPES = (int, float, long)
> -LISTTYPES = (list, tuple)
> -STRTYPES = (str, unicode)
> -FILLING_TYPES = ['linear', 'solid', 'gradient']
> -DEFAULT_COLOR_FILLING = 'solid'
> -#TODO: Define default color list
> -DEFAULT_COLOR_LIST = None
> -
> -class Data(object):
> - '''
> - Class that models the main data structure.
> - It can hold:
> - - a number type (int, float or long)
> - - a tuple, witch represents a point and can have 2 or 3 items (x,y,z)
> - - if a list is passed it will be converted to a tuple.
> -
> - obs: In case a tuple is passed it will convert to tuple
> - '''
> - def __init__(self, data=None, name=None, parent=None):
> - '''
> - Starts main atributes from the Data class
> - @name - Name for each point;
> - @content - The real data, can be an int, float, long or tuple, which
> - represents a point (x,y) or (x,y,z);
> - @parent - A pointer that give the data access to it's parent.
> -
> - Usage:
> - >>> d = Data(name='empty'); print d
> - empty: ()
> - >>> d = Data((1,1),'point a'); print d
> - point a: (1, 1)
> - >>> d = Data((1,2,3),'point b'); print d
> - point b: (1, 2, 3)
> - >>> d = Data([2,3],'point c'); print d
> - point c: (2, 3)
> - >>> d = Data(12, 'simple value'); print d
> - simple value: 12
> - '''
> - # Initial values
> - self.__content = None
> - self.__name = None
> -
> - # Setting passed values
> - self.parent = parent
> - self.name = name
> - self.content = data
> -
> - # Name property
> - @apply
> - def name():
> - doc = '''
> - Name is a read/write property that controls the input of name.
> - - If passed an invalid value it cleans the name with None
> -
> - Usage:
> - >>> d = Data(13); d.name = 'name_test'; print d
> - name_test: 13
> - >>> d.name = 11; print d
> - 13
> - >>> d.name = 'other_name'; print d
> - other_name: 13
> - >>> d.name = None; print d
> - 13
> - >>> d.name = 'last_name'; print d
> - last_name: 13
> - >>> d.name = ''; print d
> - 13
> - '''
> - def fget(self):
> - '''
> - returns the name as a string
> - '''
> - return self.__name
> -
> - def fset(self, name):
> - '''
> - Sets the name of the Data
> - '''
> - if type(name) in STRTYPES and len(name) > 0:
> - self.__name = name
> - else:
> - self.__name = None
> -
> -
> -
> - return property(**locals())
> -
> - # Content property
> - @apply
> - def content():
> - doc = '''
> - Content is a read/write property that validate the data passed
> - and return it.
> -
> - Usage:
> - >>> d = Data(); d.content = 13; d.content
> - 13
> - >>> d = Data(); d.content = (1,2); d.content
> - (1, 2)
> - >>> d = Data(); d.content = (1,2,3); d.content
> - (1, 2, 3)
> - >>> d = Data(); d.content = [1,2,3]; d.content
> - (1, 2, 3)
> - >>> d = Data(); d.content = [1.5,.2,3.3]; d.content
> - (1.5, 0.20000000000000001, 3.2999999999999998)
> - '''
> - def fget(self):
> - '''
> - Return the content of Data
> - '''
> - return self.__content
> -
> - def fset(self, data):
> - '''
> - Ensures that data is a valid tuple/list or a number (int, float
> - or long)
> - '''
> - # Type: None
> - if data is None:
> - self.__content = None
> - return
> -
> - # Type: Int or Float
> - elif type(data) in NUMTYPES:
> - self.__content = data
> -
> - # Type: List or Tuple
> - elif type(data) in LISTTYPES:
> - # Ensures the correct size
> - if len(data) not in (2, 3):
> - raise TypeError, "Data (as list/tuple) must have 2 or 3 items"
> - return
> -
> - # Ensures that all items in list/tuple is a number
> - isnum = lambda x : type(x) not in NUMTYPES
> -
> - if max(map(isnum, data)):
> - # An item in data isn't an int or a float
> - raise TypeError, "All content of data must be a number (int or float)"
> -
> - # Convert the tuple to list
> - if type(data) is list:
> - data = tuple(data)
> -
> - # Append a copy and sets the type
> - self.__content = data[:]
> -
> - # Unknown type!
> - else:
> - self.__content = None
> - raise TypeError, "Data must be an int, float or a tuple with two or three items"
> - return
> -
> - return property(**locals())
> -
> -
> - def clear(self):
> - '''
> - Clear the all Data (content, name and parent)
> - '''
> - self.content = None
> - self.name = None
> - self.parent = None
> -
> - def copy(self):
> - '''
> - Returns a copy of the Data structure
> - '''
> - # The copy
> - new_data = Data()
> - if self.content is not None:
> - # If content is a point
> - if type(self.content) is tuple:
> - new_data.__content = self.content[:]
> -
> - # If content is a number
> - else:
> - new_data.__content = self.content
> -
> - # If it has a name
> - if self.name is not None:
> - new_data.__name = self.name
> -
> - return new_data
> -
> - def __str__(self):
> - '''
> - Return a string representation of the Data structure
> - '''
> - if self.name is None:
> - if self.content is None:
> - return ''
> - return str(self.content)
> - else:
> - if self.content is None:
> - return self.name+": ()"
> - return self.name+": "+str(self.content)
> -
> - def __len__(self):
> - '''
> - Return the length of the Data.
> - - If it's a number return 1;
> - - If it's a list return it's length;
> - - If its None return 0.
> - '''
> - if self.content is None:
> - return 0
> - elif type(self.content) in NUMTYPES:
> - return 1
> - return len(self.content)
> -
> -
> -
> -
> -class Group(object):
> - '''
> - Class that models a group of data. Every value (int, float, long, tuple
> - or list) passed is converted to a list of Data.
> - It can receive:
> - - A single number (int, float, long);
> - - A list of numbers;
> - - A tuple of numbers;
> - - An instance of Data;
> - - A list of Data;
> -
> - Obs: If a tuple with 2 or 3 items is passed it is converted to a point.
> - If a tuple with only 1 item is passed it's converted to a number;
> - If a tuple with more than 2 items is passed it's converted to a
> - list of numbers
> - '''
> - def __init__(self, group=None, name=None, parent=None):
> - '''
> - Starts main atributes in Group instance.
> - @data_list - a list of data which forms the group;
> - @range - a range that represent the x axis of possible functions;
> - @name - name of the data group;
> - @parent - the Serie parent of this group.
> -
> - Usage:
> - >>> g = Group(13, 'simple number'); print g
> - simple number ['13']
> - >>> g = Group((1,2), 'simple point'); print g
> - simple point ['(1, 2)']
> - >>> g = Group([1,2,3,4], 'list of numbers'); print g
> - list of numbers ['1', '2', '3', '4']
> - >>> g = Group((1,2,3,4),'int in tuple'); print g
> - int in tuple ['1', '2', '3', '4']
> - >>> g = Group([(1,2),(2,3),(3,4)], 'list of points'); print g
> - list of points ['(1, 2)', '(2, 3)', '(3, 4)']
> - >>> g = Group([[1,2,3],[1,2,3]], '2D coordinate lists'); print g
> - 2D coordinated lists ['(1, 1)', '(2, 2)', '(3, 3)']
> - >>> g = Group([[1,2],[1,2],[1,2]], '3D coordinate lists'); print g
> - 3D coordinated lists ['(1, 1, 1)', '(2, 2, 2)']
> - '''
> - # Initial values
> - self.__data_list = []
> - self.__range = []
> - self.__name = None
> -
> -
> - self.parent = parent
> - self.name = name
> - self.data_list = group
> -
> - # Name property
> - @apply
> - def name():
> - doc = '''
> - Name is a read/write property that controls the input of name.
> - - If passed an invalid value it cleans the name with None
> -
> - Usage:
> - >>> g = Group(13); g.name = 'name_test'; print g
> - name_test ['13']
> - >>> g.name = 11; print g
> - ['13']
> - >>> g.name = 'other_name'; print g
> - other_name ['13']
> - >>> g.name = None; print g
> - ['13']
> - >>> g.name = 'last_name'; print g
> - last_name ['13']
> - >>> g.name = ''; print g
> - ['13']
> - '''
> - def fget(self):
> - '''
> - Returns the name as a string
> - '''
> - return self.__name
> -
> - def fset(self, name):
> - '''
> - Sets the name of the Group
> - '''
> - if type(name) in STRTYPES and len(name) > 0:
> - self.__name = name
> - else:
> - self.__name = None
> -
> - return property(**locals())
> -
> - # data_list property
> - @apply
> - def data_list():
> - doc = '''
> - The data_list is a read/write property that can be a list of
> - numbers, a list of points or a list of 2 or 3 coordinate lists. This
> - property uses mainly the self.add_data method.
> -
> - Usage:
> - >>> g = Group(); g.data_list = 13; print g
> - ['13']
> - >>> g.data_list = (1,2); print g
> - ['(1, 2)']
> - >>> g.data_list = Data((1,2),'point a'); print g
> - ['point a: (1, 2)']
> - >>> g.data_list = [1,2,3]; print g
> - ['1', '2', '3']
> - >>> g.data_list = (1,2,3,4); print g
> - ['1', '2', '3', '4']
> - >>> g.data_list = [(1,2),(2,3),(3,4)]; print g
> - ['(1, 2)', '(2, 3)', '(3, 4)']
> - >>> g.data_list = [[1,2],[1,2]]; print g
> - ['(1, 1)', '(2, 2)']
> - >>> g.data_list = [[1,2],[1,2],[1,2]]; print g
> - ['(1, 1, 1)', '(2, 2, 2)']
> - >>> g.range = (10); g.data_list = lambda x:x**2; print g
> - ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 4.0)', '(3.0, 9.0)', '(4.0, 16.0)', '(5.0, 25.0)', '(6.0, 36.0)', '(7.0, 49.0)', '(8.0, 64.0)', '(9.0, 81.0)']
> - '''
> - def fget(self):
> - '''
> - Returns the value of data_list
> - '''
> - return self.__data_list
> -
> - def fset(self, group):
> - '''
> - Ensures that group is valid.
> - '''
> - # None
> - if group is None:
> - self.__data_list = []
> -
> - # Int/float/long or Instance of Data
> - elif type(group) in NUMTYPES or isinstance(group, Data):
> - # Clean data_list
> - self.__data_list = []
> - self.add_data(group)
> -
> - # One point
> - elif type(group) is tuple and len(group) in (2,3):
> - self.__data_list = []
> - self.add_data(group)
> -
> - # list of items
> - elif type(group) in LISTTYPES and type(group[0]) is not list:
> - # Clean data_list
> - self.__data_list = []
> - for item in group:
> - # try to append and catch an exception
> - self.add_data(item)
> -
> - # function lambda
> - elif callable(group):
> - # Explicit is better than implicit
> - function = group
> - # Has range
> - if len(self.range) is not 0:
> - # Clean data_list
> - self.__data_list = []
> - # Generate values for the lambda function
> - for x in self.range:
> - #self.add_data((x,round(group(x),2)))
> - self.add_data((x,function(x)))
> -
> - # Only have range in parent
> - elif self.parent is not None and len(self.parent.range) is not 0:
> - # Copy parent range
> - self.__range = self.parent.range[:]
> - # Clean data_list
> - self.__data_list = []
> - # Generate values for the lambda function
> - for x in self.range:
> - #self.add_data((x,round(group(x),2)))
> - self.add_data((x,function(x)))
> -
> - # Don't have range anywhere
> - else:
> - # x_data don't exist
> - raise Exception, "Data argument is valid but to use function type please set x_range first"
> -
> - # Coordinate Lists
> - elif type(group) in LISTTYPES and type(group[0]) is list:
> - # Clean data_list
> - self.__data_list = []
> - data = []
> - if len(group) == 3:
> - data = zip(group[0], group[1], group[2])
> - elif len(group) == 2:
> - data = zip(group[0], group[1])
> - else:
> - raise TypeError, "Only one list of coordinates was received."
> -
> - for item in data:
> - self.add_data(item)
> -
> - else:
> - raise TypeError, "Group type not supported"
> -
> - return property(**locals())
> -
> - @apply
> - def range():
> - doc = '''
> - The range is a read/write property that generates a range of values
> - for the x axis of the functions. When passed a tuple it almost works
> - like the built-in range funtion:
> - - 1 item, represent the end of the range started from 0;
> - - 2 items, represents the start and the end, respectively;
> - - 3 items, the last one represents the step;
> -
> - When passed a list the range function understands as a valid range.
> -
> - Usage:
> - >>> g = Group(); g.range = 10; print g.range
> - [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]
> - >>> g = Group(); g.range = (5); print g.range
> - [0.0, 1.0, 2.0, 3.0, 4.0]
> - >>> g = Group(); g.range = (1,7); print g.range
> - [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]
> - >>> g = Group(); g.range = (0,10,2); print g.range
> - [0.0, 2.0, 4.0, 6.0, 8.0]
> - >>>
> - >>> g = Group(); g.range = [0]; print g.range
> - [0.0]
> - >>> g = Group(); g.range = [0,10,20]; print g.range
> - [0.0, 10.0, 20.0]
> - '''
> - def fget(self):
> - '''
> - Returns the range
> - '''
> - return self.__range
> -
> - def fset(self, x_range):
> - '''
> - Controls the input of a valid type and generate the range
> - '''
> - # if passed a simple number convert to tuple
> - if type(x_range) in NUMTYPES:
> - x_range = (x_range,)
> -
> - # A list, just convert to float
> - if type(x_range) is list and len(x_range) > 0:
> - # Convert all to float
> - x_range = map(float, x_range)
> - # Prevents repeated values and convert back to list
> - self.__range = list(set(x_range[:]))
> - # Sort the list to ascending order
> - self.__range.sort()
> -
> - # A tuple, must check the lengths and generate the values
> - elif type(x_range) is tuple and len(x_range) in (1,2,3):
> - # Convert all to float
> - x_range = map(float, x_range)
> -
> - # Inital values
> - start = 0.0
> - step = 1.0
> - end = 0.0
> -
> - # Only the end and it can't be less or iqual to 0
> - if len(x_range) is 1 and x_range > 0:
> - end = x_range[0]
> -
> - # The start and the end but the start must be less then the end
> - elif len(x_range) is 2 and x_range[0] < x_range[1]:
> - start = x_range[0]
> - end = x_range[1]
> -
> - # All 3, but the start must be less then the end
> - elif x_range[0] <= x_range[1]:
> - start = x_range[0]
> - end = x_range[1]
> - step = x_range[2]
> -
> - # Starts the range
> - self.__range = []
> - # Generate the range
> - # Can't use the range function because it doesn't support float values
> - while start < end:
> - self.__range.append(start)
> - start += step
> -
> - # Incorrect type
> - else:
> - raise Exception, "x_range must be a list with one or more items or a tuple with 2 or 3 items"
> -
> - return property(**locals())
> -
> - def add_data(self, data, name=None):
> - '''
> - Append a new data to the data_list.
> - - If data is an instance of Data, append it
> - - If it's an int, float, tuple or list create an instance of Data and append it
> -
> - Usage:
> - >>> g = Group()
> - >>> g.add_data(12); print g
> - ['12']
> - >>> g.add_data(7,'other'); print g
> - ['12', 'other: 7']
> - >>>
> - >>> g = Group()
> - >>> g.add_data((1,1),'a'); print g
> - ['a: (1, 1)']
> - >>> g.add_data((2,2),'b'); print g
> - ['a: (1, 1)', 'b: (2, 2)']
> - >>>
> - >>> g.add_data(Data((1,2),'c')); print g
> - ['a: (1, 1)', 'b: (2, 2)', 'c: (1, 2)']
> - '''
> - if not isinstance(data, Data):
> - # Try to convert
> - data = Data(data,name,self)
> -
> - if data.content is not None:
> - self.__data_list.append(data.copy())
> - self.__data_list[-1].parent = self
> -
> -
> - def to_list(self):
> - '''
> - Returns the group as a list of numbers (int, float or long) or a
> - list of tuples (points 2D or 3D).
> -
> - Usage:
> - >>> g = Group([1,2,3,4],'g1'); g.to_list()
> - [1, 2, 3, 4]
> - >>> g = Group([(1,2),(2,3),(3,4)],'g2'); g.to_list()
> - [(1, 2), (2, 3), (3, 4)]
> - >>> g = Group([(1,2,3),(3,4,5)],'g2'); g.to_list()
> - [(1, 2, 3), (3, 4, 5)]
> - '''
> - return [data.content for data in self]
> -
> - def copy(self):
> - '''
> - Returns a copy of this group
> - '''
> - new_group = Group()
> - new_group.__name = self.__name
> - if self.__range is not None:
> - new_group.__range = self.__range[:]
> - for data in self:
> - new_group.add_data(data.copy())
> - return new_group
> -
> - def get_names(self):
> - '''
> - Return a list with the names of all data in this group
> - '''
> - names = []
> - for data in self:
> - if data.name is None:
> - names.append('Data '+str(data.index()+1))
> - else:
> - names.append(data.name)
> - return names
> -
> -
> - def __str__ (self):
> - '''
> - Returns a string representing the Group
> - '''
> - ret = ""
> - if self.name is not None:
> - ret += self.name + " "
> - if len(self) > 0:
> - list_str = [str(item) for item in self]
> - ret += str(list_str)
> - else:
> - ret += "[]"
> - return ret
> -
> - def __getitem__(self, key):
> - '''
> - Makes a Group iterable, based in the data_list property
> - '''
> - return self.data_list[key]
> -
> - def __len__(self):
> - '''
> - Returns the length of the Group, based in the data_list property
> - '''
> - return len(self.data_list)
> -
> -
> -class Colors(object):
> - '''
> - Class that models the colors its labels (names) and its properties, RGB
> - and filling type.
> -
> - It can receive:
> - - A list where each item is a list with 3 or 4 items. The
> - first 3 items represent the RGB values and the last argument
> - defines the filling type. The list will be converted to a dict
> - and each color will receve a name based in its position in the
> - list.
> - - A dictionary where each key will be the color name and its item
> - can be a list with 3 or 4 items. The first 3 items represent
> - the RGB colors and the last argument defines the filling type.
> - '''
> - def __init__(self, color_list=None):
> - '''
> - Start the color_list property
> - @ color_list - the list or dict contaning the colors properties.
> - '''
> - self.__color_list = None
> -
> - self.color_list = color_list
> -
> - @apply
> - def color_list():
> - doc = '''
> - >>> c = Colors([[1,1,1],[2,2,2,'linear'],[3,3,3,'gradient']])
> - >>> print c.color_list
> - {'Color 2': [2, 2, 2, 'linear'], 'Color 3': [3, 3, 3, 'gradient'], 'Color 1': [1, 1, 1, 'solid']}
> - >>> c.color_list = [[1,1,1],(2,2,2,'solid'),(3,3,3,'linear')]
> - >>> print c.color_list
> - {'Color 2': [2, 2, 2, 'solid'], 'Color 3': [3, 3, 3, 'linear'], 'Color 1': [1, 1, 1, 'solid']}
> - >>> c.color_list = {'a':[1,1,1],'b':(2,2,2,'solid'),'c':(3,3,3,'linear'), 'd':(4,4,4)}
> - >>> print c.color_list
> - {'a': [1, 1, 1, 'solid'], 'c': [3, 3, 3, 'linear'], 'b': [2, 2, 2, 'solid'], 'd': [4, 4, 4, 'solid']}
> - '''
> - def fget(self):
> - '''
> - Return the color list
> - '''
> - return self.__color_list
> -
> - def fset(self, color_list):
> - '''
> - Format the color list to a dictionary
> - '''
> - if color_list is None:
> - self.__color_list = None
> - return
> -
> - if type(color_list) in LISTTYPES and type(color_list[0]) in LISTTYPES:
> - old_color_list = color_list[:]
> - color_list = {}
> - for index, color in enumerate(old_color_list):
> - if len(color) is 3 and max(map(type, color)) in NUMTYPES:
> - color_list['Color '+str(index+1)] = list(color)+[DEFAULT_COLOR_FILLING]
> - elif len(color) is 4 and max(map(type, color[:-1])) in NUMTYPES and color[-1] in FILLING_TYPES:
> - color_list['Color '+str(index+1)] = list(color)
> - else:
> - raise TypeError, "Unsuported color format"
> - elif type(color_list) is not dict:
> - raise TypeError, "Unsuported color format"
> -
> - for name, color in color_list.items():
> - if len(color) is 3:
> - if max(map(type, color)) in NUMTYPES:
> - color_list[name] = list(color)+[DEFAULT_COLOR_FILLING]
> - else:
> - raise TypeError, "Unsuported color format"
> - elif len(color) is 4:
> - if max(map(type, color[:-1])) in NUMTYPES and color[-1] in FILLING_TYPES:
> - color_list[name] = list(color)
> - else:
> - raise TypeError, "Unsuported color format"
> - self.__color_list = color_list.copy()
> -
> - return property(**locals())
> -
> -
> -class Series(object):
> - '''
> - Class that models a Series (group of groups). Every value (int, float,
> - long, tuple or list) passed is converted to a list of Group or Data.
> - It can receive:
> - - a single number or point, will be converted to a Group of one Data;
> - - a list of numbers, will be converted to a group of numbers;
> - - a list of tuples, will converted to a single Group of points;
> - - a list of lists of numbers, each 'sublist' will be converted to a
> - group of numbers;
> - - a list of lists of tuples, each 'sublist' will be converted to a
> - group of points;
> - - a list of lists of lists, the content of the 'sublist' will be
> - processed as coordinated lists and the result will be converted to
> - a group of points;
> - - a Dictionary where each item can be the same of the list: number,
> - point, list of numbers, list of points or list of lists (coordinated
> - lists);
> - - an instance of Data;
> - - an instance of group.
> - '''
> - def __init__(self, series=None, name=None, property=[], colors=None):
> - '''
> - Starts main atributes in Group instance.
> - @series - a list, dict of data of which the series is composed;
> - @name - name of the series;
> - @property - a list/dict of properties to be used in the plots of
> - this Series
> -
> - Usage:
> - >>> print Series([1,2,3,4])
> - ["Group 1 ['1', '2', '3', '4']"]
> - >>> print Series([[1,2,3],[4,5,6]])
> - ["Group 1 ['1', '2', '3']", "Group 2 ['4', '5', '6']"]
> - >>> print Series((1,2))
> - ["Group 1 ['(1, 2)']"]
> - >>> print Series([(1,2),(2,3)])
> - ["Group 1 ['(1, 2)', '(2, 3)']"]
> - >>> print Series([[(1,2),(2,3)],[(4,5),(5,6)]])
> - ["Group 1 ['(1, 2)', '(2, 3)']", "Group 2 ['(4, 5)', '(5, 6)']"]
> - >>> print Series([[[1,2,3],[1,2,3],[1,2,3]]])
> - ["Group 1 ['(1, 1, 1)', '(2, 2, 2)', '(3, 3, 3)']"]
> - >>> print Series({'g1':[1,2,3], 'g2':[4,5,6]})
> - ["g1 ['1', '2', '3']", "g2 ['4', '5', '6']"]
> - >>> print Series({'g1':[(1,2),(2,3)], 'g2':[(4,5),(5,6)]})
> - ["g1 ['(1, 2)', '(2, 3)']", "g2 ['(4, 5)', '(5, 6)']"]
> - >>> print Series({'g1':[[1,2],[1,2]], 'g2':[[4,5],[4,5]]})
> - ["g1 ['(1, 1)', '(2, 2)']", "g2 ['(4, 4)', '(5, 5)']"]
> - >>> print Series(Data(1,'d1'))
> - ["Group 1 ['d1: 1']"]
> - >>> print Series(Group([(1,2),(2,3)],'g1'))
> - ["g1 ['(1, 2)', '(2, 3)']"]
> - '''
> - # Intial values
> - self.__group_list = []
> - self.__name = None
> - self.__range = None
> -
> - # TODO: Implement colors with filling
> - self.__colors = None
> -
> - self.name = name
> - self.group_list = series
> - self.colors = colors
> -
> - # Name property
> - @apply
> - def name():
> - doc = '''
> - Name is a read/write property that controls the input of name.
> - - If passed an invalid value it cleans the name with None
> -
> - Usage:
> - >>> s = Series(13); s.name = 'name_test'; print s
> - name_test ["Group 1 ['13']"]
> - >>> s.name = 11; print s
> - ["Group 1 ['13']"]
> - >>> s.name = 'other_name'; print s
> - other_name ["Group 1 ['13']"]
> - >>> s.name = None; print s
> - ["Group 1 ['13']"]
> - >>> s.name = 'last_name'; print s
> - last_name ["Group 1 ['13']"]
> - >>> s.name = ''; print s
> - ["Group 1 ['13']"]
> - '''
> - def fget(self):
> - '''
> - Returns the name as a string
> - '''
> - return self.__name
> -
> - def fset(self, name):
> - '''
> - Sets the name of the Group
> - '''
> - if type(name) in STRTYPES and len(name) > 0:
> - self.__name = name
> - else:
> - self.__name = None
> -
> - return property(**locals())
> -
> -
> -
> - # Colors property
> - @apply
> - def colors():
> - doc = '''
> - >>> s = Series()
> - >>> s.colors = [[1,1,1],[2,2,2,'linear'],[3,3,3,'gradient']]
> - >>> print s.colors
> - {'Color 2': [2, 2, 2, 'linear'], 'Color 3': [3, 3, 3, 'gradient'], 'Color 1': [1, 1, 1, 'solid']}
> - >>> s.colors = [[1,1,1],(2,2,2,'solid'),(3,3,3,'linear')]
> - >>> print s.colors
> - {'Color 2': [2, 2, 2, 'solid'], 'Color 3': [3, 3, 3, 'linear'], 'Color 1': [1, 1, 1, 'solid']}
> - >>> s.colors = {'a':[1,1,1],'b':(2,2,2,'solid'),'c':(3,3,3,'linear'), 'd':(4,4,4)}
> - >>> print s.colors
> - {'a': [1, 1, 1, 'solid'], 'c': [3, 3, 3, 'linear'], 'b': [2, 2, 2, 'solid'], 'd': [4, 4, 4, 'solid']}
> - '''
> - def fget(self):
> - '''
> - Return the color list
> - '''
> - return self.__colors.color_list
> -
> - def fset(self, colors):
> - '''
> - Format the color list to a dictionary
> - '''
> - self.__colors = Colors(colors)
> -
> - return property(**locals())
> -
> - @apply
> - def range():
> - doc = '''
> - The range is a read/write property that generates a range of values
> - for the x axis of the functions. When passed a tuple it almost works
> - like the built-in range funtion:
> - - 1 item, represent the end of the range started from 0;
> - - 2 items, represents the start and the end, respectively;
> - - 3 items, the last one represents the step;
> -
> - When passed a list the range function understands as a valid range.
> -
> - Usage:
> - >>> s = Series(); s.range = 10; print s.range
> - [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0]
> - >>> s = Series(); s.range = (5); print s.range
> - [0.0, 1.0, 2.0, 3.0, 4.0, 5.0]
> - >>> s = Series(); s.range = (1,7); print s.range
> - [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0]
> - >>> s = Series(); s.range = (0,10,2); print s.range
> - [0.0, 2.0, 4.0, 6.0, 8.0, 10.0]
> - >>>
> - >>> s = Series(); s.range = [0]; print s.range
> - [0.0]
> - >>> s = Series(); s.range = [0,10,20]; print s.range
> - [0.0, 10.0, 20.0]
> - '''
> - def fget(self):
> - '''
> - Returns the range
> - '''
> - return self.__range
> -
> - def fset(self, x_range):
> - '''
> - Controls the input of a valid type and generate the range
> - '''
> - # if passed a simple number convert to tuple
> - if type(x_range) in NUMTYPES:
> - x_range = (x_range,)
> -
> - # A list, just convert to float
> - if type(x_range) is list and len(x_range) > 0:
> - # Convert all to float
> - x_range = map(float, x_range)
> - # Prevents repeated values and convert back to list
> - self.__range = list(set(x_range[:]))
> - # Sort the list to ascending order
> - self.__range.sort()
> -
> - # A tuple, must check the lengths and generate the values
> - elif type(x_range) is tuple and len(x_range) in (1,2,3):
> - # Convert all to float
> - x_range = map(float, x_range)
> -
> - # Inital values
> - start = 0.0
> - step = 1.0
> - end = 0.0
> -
> - # Only the end and it can't be less or iqual to 0
> - if len(x_range) is 1 and x_range > 0:
> - end = x_range[0]
> -
> - # The start and the end but the start must be lesser then the end
> - elif len(x_range) is 2 and x_range[0] < x_range[1]:
> - start = x_range[0]
> - end = x_range[1]
> -
> - # All 3, but the start must be lesser then the end
> - elif x_range[0] < x_range[1]:
> - start = x_range[0]
> - end = x_range[1]
> - step = x_range[2]
> -
> - # Starts the range
> - self.__range = []
> - # Generate the range
> - # Cnat use the range function becouse it don't suport float values
> - while start <= end:
> - self.__range.append(start)
> - start += step
> -
> - # Incorrect type
> - else:
> - raise Exception, "x_range must be a list with one or more item or a tuple with 2 or 3 items"
> -
> - return property(**locals())
> -
> - @apply
> - def group_list():
> - doc = '''
> - The group_list is a read/write property used to pre-process the list
> - of Groups.
> - It can be:
> - - a single number, point or lambda, will be converted to a single
> - Group of one Data;
> - - a list of numbers, will be converted to a group of numbers;
> - - a list of tuples, will converted to a single Group of points;
> - - a list of lists of numbers, each 'sublist' will be converted to
> - a group of numbers;
> - - a list of lists of tuples, each 'sublist' will be converted to a
> - group of points;
> - - a list of lists of lists, the content of the 'sublist' will be
> - processed as coordinated lists and the result will be converted
> - to a group of points;
> - - a list of lambdas, each lambda represents a Group;
> - - a Dictionary where each item can be the same of the list: number,
> - point, list of numbers, list of points, list of lists
> - (coordinated lists) or lambdas
> - - an instance of Data;
> - - an instance of group.
> -
> - Usage:
> - >>> s = Series()
> - >>> s.group_list = [1,2,3,4]; print s
> - ["Group 1 ['1', '2', '3', '4']"]
> - >>> s.group_list = [[1,2,3],[4,5,6]]; print s
> - ["Group 1 ['1', '2', '3']", "Group 2 ['4', '5', '6']"]
> - >>> s.group_list = (1,2); print s
> - ["Group 1 ['(1, 2)']"]
> - >>> s.group_list = [(1,2),(2,3)]; print s
> - ["Group 1 ['(1, 2)', '(2, 3)']"]
> - >>> s.group_list = [[(1,2),(2,3)],[(4,5),(5,6)]]; print s
> - ["Group 1 ['(1, 2)', '(2, 3)']", "Group 2 ['(4, 5)', '(5, 6)']"]
> - >>> s.group_list = [[[1,2,3],[1,2,3],[1,2,3]]]; print s
> - ["Group 1 ['(1, 1, 1)', '(2, 2, 2)', '(3, 3, 3)']"]
> - >>> s.group_list = [(0.5,5.5) , [(0,4),(6,8)] , (5.5,7) , (7,9)]; print s
> - ["Group 1 ['(0.5, 5.5)']", "Group 2 ['(0, 4)', '(6, 8)']", "Group 3 ['(5.5, 7)']", "Group 4 ['(7, 9)']"]
> - >>> s.group_list = {'g1':[1,2,3], 'g2':[4,5,6]}; print s
> - ["g1 ['1', '2', '3']", "g2 ['4', '5', '6']"]
> - >>> s.group_list = {'g1':[(1,2),(2,3)], 'g2':[(4,5),(5,6)]}; print s
> - ["g1 ['(1, 2)', '(2, 3)']", "g2 ['(4, 5)', '(5, 6)']"]
> - >>> s.group_list = {'g1':[[1,2],[1,2]], 'g2':[[4,5],[4,5]]}; print s
> - ["g1 ['(1, 1)', '(2, 2)']", "g2 ['(4, 4)', '(5, 5)']"]
> - >>> s.range = 10
> - >>> s.group_list = lambda x:x*2
> - >>> s.group_list = [lambda x:x*2, lambda x:x**2, lambda x:x**3]; print s
> - ["Group 1 ['(0.0, 0.0)', '(1.0, 2.0)', '(2.0, 4.0)', '(3.0, 6.0)', '(4.0, 8.0)', '(5.0, 10.0)', '(6.0, 12.0)', '(7.0, 14.0)', '(8.0, 16.0)', '(9.0, 18.0)', '(10.0, 20.0)']", "Group 2 ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 4.0)', '(3.0, 9.0)', '(4.0, 16.0)', '(5.0, 25.0)', '(6.0, 36.0)', '(7.0, 49.0)', '(8.0, 64.0)', '(9.0, 81.0)', '(10.0, 100.0)']", "Group 3 ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 8.0)', '(3.0, 27.0)', '(4.0, 64.0)', '(5.0, 125.0)', '(6.0, 216.0)', '(7.0, 343.0)', '(8.0, 512.0)', '(9.0, 729.0)', '(10.0, 1000.0)']"]
> - >>> s.group_list = {'linear':lambda x:x*2, 'square':lambda x:x**2, 'cubic':lambda x:x**3}; print s
> - ["cubic ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 8.0)', '(3.0, 27.0)', '(4.0, 64.0)', '(5.0, 125.0)', '(6.0, 216.0)', '(7.0, 343.0)', '(8.0, 512.0)', '(9.0, 729.0)', '(10.0, 1000.0)']", "linear ['(0.0, 0.0)', '(1.0, 2.0)', '(2.0, 4.0)', '(3.0, 6.0)', '(4.0, 8.0)', '(5.0, 10.0)', '(6.0, 12.0)', '(7.0, 14.0)', '(8.0, 16.0)', '(9.0, 18.0)', '(10.0, 20.0)']", "square ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 4.0)', '(3.0, 9.0)', '(4.0, 16.0)', '(5.0, 25.0)', '(6.0, 36.0)', '(7.0, 49.0)', '(8.0, 64.0)', '(9.0, 81.0)', '(10.0, 100.0)']"]
> - >>> s.group_list = Data(1,'d1'); print s
> - ["Group 1 ['d1: 1']"]
> - >>> s.group_list = Group([(1,2),(2,3)],'g1'); print s
> - ["g1 ['(1, 2)', '(2, 3)']"]
> - '''
> - def fget(self):
> - '''
> - Return the group list.
> - '''
> - return self.__group_list
> -
> - def fset(self, series):
> - '''
> - Controls the input of a valid group list.
> - '''
> - #TODO: Add support to the following strem of data: [ (0.5,5.5) , [(0,4),(6,8)] , (5.5,7) , (7,9)]
> -
> - # Type: None
> - if series is None:
> - self.__group_list = []
> -
> - # List or Tuple
> - elif type(series) in LISTTYPES:
> - self.__group_list = []
> -
> - is_function = lambda x: callable(x)
> - # Groups
> - if list in map(type, series) or max(map(is_function, series)):
> - for group in series:
> - self.add_group(group)
> -
> - # single group
> - else:
> - self.add_group(series)
> -
> - #old code
> - ## List of numbers
> - #if type(series[0]) in NUMTYPES or type(series[0]) is tuple:
> - # print series
> - # self.add_group(series)
> - #
> - ## List of anything else
> - #else:
> - # for group in series:
> - # self.add_group(group)
> -
> - # Dict representing series of groups
> - elif type(series) is dict:
> - self.__group_list = []
> - names = series.keys()
> - names.sort()
> - for name in names:
> - self.add_group(Group(series[name],name,self))
> -
> - # A single lambda
> - elif callable(series):
> - self.__group_list = []
> - self.add_group(series)
> -
> - # Int/float, instance of Group or Data
> - elif type(series) in NUMTYPES or isinstance(series, Group) or isinstance(series, Data):
> - self.__group_list = []
> - self.add_group(series)
> -
> - # Default
> - else:
> - raise TypeError, "Serie type not supported"
> -
> - return property(**locals())
> -
> - def add_group(self, group, name=None):
> - '''
> - Append a new group in group_list
> - '''
> - if not isinstance(group, Group):
> - #Try to convert
> - group = Group(group, name, self)
> -
> - if len(group.data_list) is not 0:
> - # Auto naming groups
> - if group.name is None:
> - group.name = "Group "+str(len(self.__group_list)+1)
> -
> - self.__group_list.append(group)
> - self.__group_list[-1].parent = self
> -
> - def copy(self):
> - '''
> - Returns a copy of the Series
> - '''
> - new_series = Series()
> - new_series.__name = self.__name
> - if self.__range is not None:
> - new_series.__range = self.__range[:]
> - #Add color property in the copy method
> - #self.__colors = None
> -
> - for group in self:
> - new_series.add_group(group.copy())
> -
> - return new_series
> -
> - def get_names(self):
> - '''
> - Returns a list of the names of all groups in the Serie
> - '''
> - names = []
> - for group in self:
> - if group.name is None:
> - names.append('Group '+str(group.index()+1))
> - else:
> - names.append(group.name)
> -
> - return names
> -
> - def to_list(self):
> - '''
> - Returns a list with the content of all groups and data
> - '''
> - big_list = []
> - for group in self:
> - for data in group:
> - if type(data.content) in NUMTYPES:
> - big_list.append(data.content)
> - else:
> - big_list = big_list + list(data.content)
> - return big_list
> -
> - def __getitem__(self, key):
> - '''
> - Makes the Series iterable, based in the group_list property
> - '''
> - return self.__group_list[key]
> -
> - def __str__(self):
> - '''
> - Returns a string that represents the Series
> - '''
> - ret = ""
> - if self.name is not None:
> - ret += self.name + " "
> - if len(self) > 0:
> - list_str = [str(item) for item in self]
> - ret += str(list_str)
> - else:
> - ret += "[]"
> - return ret
> -
> - def __len__(self):
> - '''
> - Returns the length of the Series, based in the group_lsit property
> - '''
> - return len(self.group_list)
> -
> -
> -if __name__ == '__main__':
> - doctest.testmod()
> diff --git a/bindings/python/examples/python2/eventcount.py b/bindings/python/examples/python2/eventcount.py
> new file mode 100755
> index 0000000..079633c
> --- /dev/null
> +++ b/bindings/python/examples/python2/eventcount.py
> @@ -0,0 +1,85 @@
> +#!/usr/bin/env python2
> +# eventcount.py
> +#
> +# Babeltrace event count example script
> +#
> +# Copyright 2012 EfficiOS Inc.
> +#
> +# Author: Danny Serres <danny.serres at efficios.com>
> +#
> +# Permission is hereby granted, free of charge, to any person obtaining a copy
> +# of this software and associated documentation files (the "Software"), to deal
> +# in the Software without restriction, including without limitation the rights
> +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> +# copies of the Software, and to permit persons to whom the Software is
> +# furnished to do so, subject to the following conditions:
> +#
> +# The above copyright notice and this permission notice shall be included in
> +# all copies or substantial portions of the Software.
> +
> +# The script prints a count of specified events and
> +# their related tid's in a given trace.
> +# The trace needs TID context (lttng add-context -k -t tid)
> +
> +import sys
> +from babeltrace import *
> +from output_format_modules.pprint_table import pprint_table as pprint
> +
> +if len(sys.argv) < 3:
> + raise TypeError("Usage: python eventcount.py event1 [event2 ...] path/to/trace")
> +
> +ctx = Context()
> +ret = ctx.add_trace(sys.argv[len(sys.argv)-1], "ctf")
> +if ret is None:
> + raise IOError("Error adding trace")
> +
> +counts = {}
> +
> +# Setting iterator
> +bp = IterPos(SEEK_BEGIN)
> +ctf_it = ctf.Iterator(ctx, bp)
> +
> +# Reading events
> +event = ctf_it.read_event()
> +while(event is not None):
> + for event_type in sys.argv[1:len(sys.argv)-1]:
> + if event_type == event.get_name():
> +
> + # Getting scope definition
> + sco = event.get_top_level_scope(ctf.scope.STREAM_EVENT_CONTEXT)
> + if sco is None:
> + print("ERROR: Cannot get definition scope for {}".format(
> + event.get_name()))
> + continue
> +
> + # Getting TID
> + tid_field = event.get_field(sco, "_tid")
> + tid = tid_field.get_int64()
> +
> + if ctf.field_error():
> + print("ERROR: Missing TID info for {}".format(
> + event.get_name()))
> + continue
> +
> + tmp = (tid, event.get_name())
> +
> + if tmp in counts:
> + counts[tmp] += 1
> + else:
> + counts[tmp] = 1
> +
> + # Next event
> + ret = ctf_it.next()
> + if ret < 0:
> + break
> + event = ctf_it.read_event()
> +
> +del ctf_it
> +
> +# Appending data to table for output
> +table = []
> +for item in counts:
> + table.append([item[0], item[1], counts[item]])
> +table = sorted(table)
> +table.insert(0,["TID", "EVENT", "COUNT"])
> +pprint(table, 2)
> diff --git a/bindings/python/examples/python2/eventcountlist.py b/bindings/python/examples/python2/eventcountlist.py
> new file mode 100755
> index 0000000..1b42b4e
> --- /dev/null
> +++ b/bindings/python/examples/python2/eventcountlist.py
> @@ -0,0 +1,84 @@
> +#!/usr/bin/env python2
> +# eventcountlist.py
> +#
> +# Babeltrace event count list example script
> +#
> +# Copyright 2012 EfficiOS Inc.
> +#
> +# Author: Danny Serres <danny.serres at efficios.com>
> +#
> +# Permission is hereby granted, free of charge, to any person obtaining a copy
> +# of this software and associated documentation files (the "Software"), to deal
> +# in the Software without restriction, including without limitation the rights
> +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> +# copies of the Software, and to permit persons to whom the Software is
> +# furnished to do so, subject to the following conditions:
> +#
> +# The above copyright notice and this permission notice shall be included in
> +# all copies or substantial portions of the Software.
> +
> +# The script prints a count and rate of events.
> +# It also outputs a bar graph of count per event, using the cairoplot module.
> +
> +import sys
> +from babeltrace import *
> +from output_format_modules import cairoplot
> +from output_format_modules.pprint_table import pprint_table as pprint
> +
> +# Check for path arg:
> +if len(sys.argv) < 2:
> + raise TypeError("Usage: python eventcountlist.py path/to/trace")
> +
> +ctx = Context()
> +ret = ctx.add_trace(sys.argv[1], "ctf")
> +if ret is None:
> + raise IOError("Error adding trace")
> +
> +# Events and their assossiated count
> +# will be stored as a dict:
> +events_count = {}
> +
> +# Setting iterator:
> +bp = IterPos(SEEK_BEGIN)
> +ctf_it = ctf.Iterator(ctx,bp)
> +
> +prev_event = None
> +event = ctf_it.read_event()
> +
> +start_time = event.get_timestamp()
> +
> +# Reading events:
> +while(event is not None):
> + if event.get_name() in events_count:
> + events_count[event.get_name()] += 1
> + else:
> + events_count[event.get_name()] = 1
> +
> + ret = ctf_it.next()
> + if ret < 0:
> + break
> + else:
> + prev_event = event
> + event = ctf_it.read_event()
> +
> +if event:
> + total_time = event.get_timestamp() - start_time
> +else:
> + total_time = prev_event.get_timestamp() - start_time
> +
> +del ctf_it
> +
> +# Printing encountered events with respective count and rate:
> +print("Total time: {} ns".format(total_time))
> +table = [["EVENT", "COUNT", "RATE (Hz)"]]
> +for item in sorted(events_count.iterkeys()):
> + tmp = [item, events_count[item],
> + events_count[item]/(total_time/1000000000.0)]
> + table.append(tmp)
> +pprint(table)
> +
> +# Exporting data as bar graph
> +cairoplot.vertical_bar_plot ( 'eventcountlist.svg', events_count, 50+85*len(events_count),
> + 800, border = 20, display_values = True, grid = True,
> + rounded_corners = True,
> + x_labels = sorted(events_count.keys()) )
> diff --git a/bindings/python/examples/python2/events_per_cpu.py b/bindings/python/examples/python2/events_per_cpu.py
> new file mode 100755
> index 0000000..6425b2d
> --- /dev/null
> +++ b/bindings/python/examples/python2/events_per_cpu.py
> @@ -0,0 +1,100 @@
> +#!/usr/bin/env python2
> +# events_per_cpu.py
> +#
> +# Babeltrace events per cpu example script
> +#
> +# Copyright 2012 EfficiOS Inc.
> +#
> +# Author: Danny Serres <danny.serres at efficios.com>
> +#
> +# Permission is hereby granted, free of charge, to any person obtaining a copy
> +# of this software and associated documentation files (the "Software"), to deal
> +# in the Software without restriction, including without limitation the rights
> +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> +# copies of the Software, and to permit persons to whom the Software is
> +# furnished to do so, subject to the following conditions:
> +#
> +# The above copyright notice and this permission notice shall be included in
> +# all copies or substantial portions of the Software.
> +
> +# The script opens a trace and prints out CPU statistics
> +# for the given trace (event count per CPU, total active
> +# time and % of time processing events).
> +# It also outputs a .txt file showing each time interval
> +# (since the beginning of the trace) in which each CPU
> +# was active and the corresponding event.
> +
> +import sys, multiprocessing
> +from output_format_modules.pprint_table import pprint_table as pprint
> +from babeltrace import *
> +
> +if len(sys.argv) < 2:
> + raise TypeError("Usage: python events_per_cpu.py path/to/trace")
> +
> +# Adding trace
> +ctx = Context()
> +ret = ctx.add_trace(sys.argv[1], "ctf")
> +if ret is None:
> + raise IOError("Error adding trace")
> +
> +cpu_usage = []
> +nbEvents = 0
> +i = 0
> +while i < multiprocessing.cpu_count():
> + cpu_usage.append([])
> + i += 1
> +
> +# Setting iterator
> +bp = IterPos(SEEK_BEGIN)
> +ctf_it = ctf.Iterator(ctx, bp)
> +
> +# Reading events
> +event = ctf_it.read_event()
> +start_time = event.get_timestamp()
> +
> +while(event is not None):
> +
> + event_name = event.get_name()
> + ts = event.get_timestamp()
> +
> + # Getting cpu_id
> + scope = event.get_top_level_scope(ctf.scope.STREAM_PACKET_CONTEXT)
> + field = event.get_field(scope, "cpu_id")
> + cpu_id = field.get_uint64()
> + if ctf.field_error():
> + print("ERROR: Missing cpu_id info for {}".format(event.get_name()))
> + else:
> + cpu_usage[cpu_id].append( (int(ts), event_name) )
> + nbEvents += 1
> +
> + # Next Event
> + ret = ctf_it.next()
> + if ret < 0:
> + break
> + event = ctf_it.read_event()
> +
> +
> +# Outputting
> +table = []
> +output = open("events_per_cpu.txt", "wt")
> +output.write("(timestamp, event)\n")
> +
> +for cpu in range(len(cpu_usage)):
> + # Setting table
> + event_str = str(100.0 * len(cpu_usage[cpu]) / nbEvents) + '000'
> + # % is printed with 2 decimals
> + table.append([cpu, len(cpu_usage[cpu]), event_str[0:event_str.find('.') + 3] + ' %'])
> +
> + # Writing to file
> + output.write("\n\n\n----------------------\n")
> + output.write("CPU {}\n\n".format(cpu))
> + for event in cpu_usage[cpu]:
> + output.write(str(event) + '\n')
> +
> +# Printing table
> +table.insert(0, ["CPU ID", "EVENT COUNT", "TRACE EVENT %"])
> +pprint(table)
> +print("Total event count: {}".format(nbEvents))
> +print("Total trace time: {} ns".format(ts - start_time))
> +
> +output.close()
> diff --git a/bindings/python/examples/python2/histogram.py b/bindings/python/examples/python2/histogram.py
> new file mode 100755
> index 0000000..09618cb
> --- /dev/null
> +++ b/bindings/python/examples/python2/histogram.py
> @@ -0,0 +1,140 @@
> +#!/usr/bin/env python2
> +# histogram.py
> +#
> +# Babeltrace histogram example script
> +#
> +# Copyright 2012 EfficiOS Inc.
> +#
> +# Author: Danny Serres <danny.serres at efficios.com>
> +#
> +# Permission is hereby granted, free of charge, to any person obtaining a copy
> +# of this software and associated documentation files (the "Software"), to deal
> +# in the Software without restriction, including without limitation the rights
> +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> +# copies of the Software, and to permit persons to whom the Software is
> +# furnished to do so, subject to the following conditions:
> +#
> +# The above copyright notice and this permission notice shall be included in
> +# all copies or substantial portions of the Software.
> +
> +# The script checks the number of events in the trace
> +# and outputs a table and a .svg histogram for the specified
> +# range (microseconds) or the total trace if no range specified.
> +# The graph is generated using the cairoplot module.
> +
> +import sys
> +from babeltrace import *
> +from output_format_modules import cairoplot
> +from output_format_modules.pprint_table import pprint_table as pprint
> +
> +# ------------------------------------------------
> +# Output settings
> +
> +# number of intervals:
> +nbDiv = 25 # Should not be over 150
> + # for usable graph output
> +
> +# table output stream (file-like object):
> +out = sys.stdout
> +# -------------------------------------------------
> +
> +if len(sys.argv) < 2 or len(sys.argv) > 4:
> + raise TypeError("Usage: python histogram.py [ start_time [end_time] ] path/to/trace")
> +
> +ctx = Context()
> +ret = ctx.add_trace(sys.argv[len(sys.argv)-1], "ctf")
> +if ret is None:
> + raise IOError("Error adding trace")
> +
> +# Check when to start/stop graphing
> +sinceBegin = True
> +beginTime = 0.0
> +if len(sys.argv) > 2:
> + sinceBegin = False
> + beginTime = float(sys.argv[1])
> +untilEnd = True
> +if len(sys.argv) == 4:
> + untilEnd = False
> +
> +# Setting iterator
> +bp = IterPos(SEEK_BEGIN)
> +ctf_it = ctf.Iterator(ctx, bp)
> +
> +# Reading events
> +event = ctf_it.read_event()
> +start_time = event.get_timestamp()
> +time = 0
> +count = {}
> +
> +while(event is not None):
> + # Microsec.
> + time = (event.get_timestamp() - start_time)/1000.0
> +
> + # Check if in range
> + if not sinceBegin:
> + if time < beginTime:
> + # Next Event
> + ret = ctf_it.next()
> + if ret < 0:
> + break
> + event = ctf_it.read_event()
> + continue
> + if not untilEnd:
> + if time > float(sys.argv[2]):
> + break
> +
> + # Counting events per timestamp:
> + if time in count:
> + count[time] += 1
> + else:
> + count[time] = 1
> +
> + # Next Event
> + ret = ctf_it.next()
> + if ret < 0:
> + break
> + event = ctf_it.read_event()
> +
> +del ctf_it
> +
> +# Setting data for output
> +interval = (time - beginTime)/nbDiv
> +div_begin_time = beginTime
> +div_end_time = beginTime + interval
> +data = {}
> +
> +# Prefix for string sorting, considering
> +# there should not be over 150 intervals.
> +# This would work up to 9999 intervals.
> +# If needed, add zeros.
> +prefix = 0.0001
> +
> +while div_end_time <= time:
> + key = str(prefix) + '[' + str(div_begin_time) + ';' + str(div_end_time) + '['
> + for tmp in count:
> + if tmp >= div_begin_time and tmp < div_end_time:
> + if key in data:
> + data[key] += count[tmp]
> + else:
> + data[key] = count[tmp]
> + if not key in data:
> + data[key] = 0
> + div_begin_time = div_end_time
> + div_end_time += interval
> + # Prefix increment
> + prefix += 0.001
> +
> +table = []
> +x_labels = []
> +for key in sorted(data):
> + table.append([key[key.find('['):], data[key]])
> + x_labels.append(key[key.find('['):])
> +
> +# Table output
> +table.insert(0, ["INTERVAL (us)", "COUNT"])
> +pprint(table, 1, out)
> +
> +# Graph output
> +cairoplot.vertical_bar_plot ( 'histogram.svg', data, 50 + 150*nbDiv, 50*nbDiv,
> + border = 20, display_values = True, grid = True,
> + x_labels = x_labels, rounded_corners = True )
> diff --git a/bindings/python/examples/python2/output_format_modules/cairoplot.py b/bindings/python/examples/python2/output_format_modules/cairoplot.py
> new file mode 100644
> index 0000000..a27113f
> --- /dev/null
> +++ b/bindings/python/examples/python2/output_format_modules/cairoplot.py
> @@ -0,0 +1,2336 @@
> +#!/usr/bin/env python
> +# -*- coding: utf-8 -*-
> +
> +# CairoPlot.py
> +#
> +# Copyright (c) 2008 Rodrigo Moreira Araújo
> +#
> +# Author: Rodrigo Moreiro Araujo <alf.rodrigo at gmail.com>
> +#
> +# This program is free software; you can redistribute it and/or
> +# modify it under the terms of the GNU Lesser General Public License
> +# as published by the Free Software Foundation; either version 2 of
> +# the License, or (at your option) any later version.
> +#
> +# This program is distributed in the hope that it will be useful,
> +# but WITHOUT ANY WARRANTY; without even the implied warranty of
> +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
> +# GNU General Public License for more details.
> +#
> +# You should have received a copy of the GNU Lesser General Public
> +# License along with this program; if not, write to the Free Software
> +# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
> +# USA
> +
> +#Contributor: João S. O. Bueno
> +
> +#TODO: review BarPlot Code
> +#TODO: x_label colision problem on Horizontal Bar Plot
> +#TODO: y_label's eat too much space on HBP
> +
> +
> +__version__ = 1.2
> +
> +import cairo
> +import math
> +import random
> +from series import Series, Group, Data
> +
> +HORZ = 0
> +VERT = 1
> +NORM = 2
> +
> +COLORS = {"red" : (1.0,0.0,0.0,1.0), "lime" : (0.0,1.0,0.0,1.0), "blue" : (0.0,0.0,1.0,1.0),
> + "maroon" : (0.5,0.0,0.0,1.0), "green" : (0.0,0.5,0.0,1.0), "navy" : (0.0,0.0,0.5,1.0),
> + "yellow" : (1.0,1.0,0.0,1.0), "magenta" : (1.0,0.0,1.0,1.0), "cyan" : (0.0,1.0,1.0,1.0),
> + "orange" : (1.0,0.5,0.0,1.0), "white" : (1.0,1.0,1.0,1.0), "black" : (0.0,0.0,0.0,1.0),
> + "gray" : (0.5,0.5,0.5,1.0), "light_gray" : (0.9,0.9,0.9,1.0),
> + "transparent" : (0.0,0.0,0.0,0.0)}
> +
> +THEMES = {"black_red" : [(0.0,0.0,0.0,1.0), (1.0,0.0,0.0,1.0)],
> + "red_green_blue" : [(1.0,0.0,0.0,1.0), (0.0,1.0,0.0,1.0), (0.0,0.0,1.0,1.0)],
> + "red_orange_yellow" : [(1.0,0.2,0.0,1.0), (1.0,0.7,0.0,1.0), (1.0,1.0,0.0,1.0)],
> + "yellow_orange_red" : [(1.0,1.0,0.0,1.0), (1.0,0.7,0.0,1.0), (1.0,0.2,0.0,1.0)],
> + "rainbow" : [(1.0,0.0,0.0,1.0), (1.0,0.5,0.0,1.0), (1.0,1.0,0.0,1.0), (0.0,1.0,0.0,1.0), (0.0,0.0,1.0,1.0), (0.3, 0.0, 0.5,1.0), (0.5, 0.0, 1.0, 1.0)]}
> +
> +def colors_from_theme( theme, series_length, mode = 'solid' ):
> + colors = []
> + if theme not in THEMES.keys() :
> + raise Exception, "Theme not defined"
> + color_steps = THEMES[theme]
> + n_colors = len(color_steps)
> + if series_length <= n_colors:
> + colors = [color + tuple([mode]) for color in color_steps[0:n_colors]]
> + else:
> + iterations = [(series_length - n_colors)/(n_colors - 1) for i in color_steps[:-1]]
> + over_iterations = (series_length - n_colors) % (n_colors - 1)
> + for i in range(n_colors - 1):
> + if over_iterations <= 0:
> + break
> + iterations[i] += 1
> + over_iterations -= 1
> + for index,color in enumerate(color_steps[:-1]):
> + colors.append(color + tuple([mode]))
> + if iterations[index] == 0:
> + continue
> + next_color = color_steps[index+1]
> + color_step = ((next_color[0] - color[0])/(iterations[index] + 1),
> + (next_color[1] - color[1])/(iterations[index] + 1),
> + (next_color[2] - color[2])/(iterations[index] + 1),
> + (next_color[3] - color[3])/(iterations[index] + 1))
> + for i in range( iterations[index] ):
> + colors.append((color[0] + color_step[0]*(i+1),
> + color[1] + color_step[1]*(i+1),
> + color[2] + color_step[2]*(i+1),
> + color[3] + color_step[3]*(i+1),
> + mode))
> + colors.append(color_steps[-1] + tuple([mode]))
> + return colors
> +
> +
> +def other_direction(direction):
> + "explicit is better than implicit"
> + if direction == HORZ:
> + return VERT
> + else:
> + return HORZ
> +
> +#Class definition
> +
> +class Plot(object):
> + def __init__(self,
> + surface=None,
> + data=None,
> + width=640,
> + height=480,
> + background=None,
> + border = 0,
> + x_labels = None,
> + y_labels = None,
> + series_colors = None):
> + random.seed(2)
> + self.create_surface(surface, width, height)
> + self.dimensions = {}
> + self.dimensions[HORZ] = width
> + self.dimensions[VERT] = height
> + self.context = cairo.Context(self.surface)
> + self.labels={}
> + self.labels[HORZ] = x_labels
> + self.labels[VERT] = y_labels
> + self.load_series(data, x_labels, y_labels, series_colors)
> + self.font_size = 10
> + self.set_background (background)
> + self.border = border
> + self.borders = {}
> + self.line_color = (0.5, 0.5, 0.5)
> + self.line_width = 0.5
> + self.label_color = (0.0, 0.0, 0.0)
> + self.grid_color = (0.8, 0.8, 0.8)
> +
> + def create_surface(self, surface, width=None, height=None):
> + self.filename = None
> + if isinstance(surface, cairo.Surface):
> + self.surface = surface
> + return
> + if not type(surface) in (str, unicode):
> + raise TypeError("Surface should be either a Cairo surface or a filename, not %s" % surface)
> + sufix = surface.rsplit(".")[-1].lower()
> + self.filename = surface
> + if sufix == "png":
> + self.surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, width, height)
> + elif sufix == "ps":
> + self.surface = cairo.PSSurface(surface, width, height)
> + elif sufix == "pdf":
> + self.surface = cairo.PSSurface(surface, width, height)
> + else:
> + if sufix != "svg":
> + self.filename += ".svg"
> + self.surface = cairo.SVGSurface(self.filename, width, height)
> +
> + def commit(self):
> + try:
> + self.context.show_page()
> + if self.filename and self.filename.endswith(".png"):
> + self.surface.write_to_png(self.filename)
> + else:
> + self.surface.finish()
> + except cairo.Error:
> + pass
> +
> + def load_series (self, data, x_labels=None, y_labels=None, series_colors=None):
> + self.series_labels = []
> + self.series = None
> +
> + #The pretty way
> + #if not isinstance(data, Series):
> + # # Not an instance of Series
> + # self.series = Series(data)
> + #else:
> + # self.series = data
> + #
> + #self.series_labels = self.series.get_names()
> +
> + #TODO: Remove on next version
> + # The ugly way, keeping retrocompatibility...
> + if callable(data) or type(data) is list and callable(data[0]): # Lambda or List of lambdas
> + self.series = data
> + self.series_labels = None
> + elif isinstance(data, Series): # Instance of Series
> + self.series = data
> + self.series_labels = data.get_names()
> + else: # Anything else
> + self.series = Series(data)
> + self.series_labels = self.series.get_names()
> +
> + #TODO: allow user passed series_widths
> + self.series_widths = [1.0 for group in self.series]
> +
> + #TODO: Remove on next version
> + self.process_colors( series_colors )
> +
> + def process_colors( self, series_colors, length = None, mode = 'solid' ):
> + #series_colors might be None, a theme, a string of colors names or a list of color tuples
> + if length is None :
> + length = len( self.series.to_list() )
> +
> + #no colors passed
> + if not series_colors:
> + #Randomize colors
> + self.series_colors = [ [random.random() for i in range(3)] + [1.0, mode] for series in range( length ) ]
> + else:
> + #Just theme pattern
> + if not hasattr( series_colors, "__iter__" ):
> + theme = series_colors
> + self.series_colors = colors_from_theme( theme.lower(), length )
> +
> + #Theme pattern and mode
> + elif not hasattr(series_colors, '__delitem__') and not hasattr( series_colors[0], "__iter__" ):
> + theme = series_colors[0]
> + mode = series_colors[1]
> + self.series_colors = colors_from_theme( theme.lower(), length, mode )
> +
> + #List
> + else:
> + self.series_colors = series_colors
> + for index, color in enumerate( self.series_colors ):
> + #element is a color name
> + if not hasattr(color, "__iter__"):
> + self.series_colors[index] = COLORS[color.lower()] + tuple([mode])
> + #element is rgb tuple instead of rgba
> + elif len( color ) == 3 :
> + self.series_colors[index] += (1.0,mode)
> + #element has 4 elements, might be rgba tuple or rgb tuple with mode
> + elif len( color ) == 4 :
> + #last element is mode
> + if not hasattr(color[3], "__iter__"):
> + self.series_colors[index] += tuple([color[3]])
> + self.series_colors[index][3] = 1.0
> + #last element is alpha
> + else:
> + self.series_colors[index] += tuple([mode])
> +
> + def get_width(self):
> + return self.surface.get_width()
> +
> + def get_height(self):
> + return self.surface.get_height()
> +
> + def set_background(self, background):
> + if background is None:
> + self.background = (0.0,0.0,0.0,0.0)
> + elif type(background) in (cairo.LinearGradient, tuple):
> + self.background = background
> + elif not hasattr(background,"__iter__"):
> + colors = background.split(" ")
> + if len(colors) == 1 and colors[0] in COLORS:
> + self.background = COLORS[background]
> + elif len(colors) > 1:
> + self.background = cairo.LinearGradient(self.dimensions[HORZ] / 2, 0, self.dimensions[HORZ] / 2, self.dimensions[VERT])
> + for index,color in enumerate(colors):
> + self.background.add_color_stop_rgba(float(index)/(len(colors)-1),*COLORS[color])
> + else:
> + raise TypeError ("Background should be either cairo.LinearGradient or a 3/4-tuple, not %s" % type(background))
> +
> + def render_background(self):
> + if isinstance(self.background, cairo.LinearGradient):
> + self.context.set_source(self.background)
> + else:
> + self.context.set_source_rgba(*self.background)
> + self.context.rectangle(0,0, self.dimensions[HORZ], self.dimensions[VERT])
> + self.context.fill()
> +
> + def render_bounding_box(self):
> + self.context.set_source_rgba(*self.line_color)
> + self.context.set_line_width(self.line_width)
> + self.context.rectangle(self.border, self.border,
> + self.dimensions[HORZ] - 2 * self.border,
> + self.dimensions[VERT] - 2 * self.border)
> + self.context.stroke()
> +
> + def render(self):
> + pass
> +
> +class ScatterPlot( Plot ):
> + def __init__(self,
> + surface=None,
> + data=None,
> + errorx=None,
> + errory=None,
> + width=640,
> + height=480,
> + background=None,
> + border=0,
> + axis = False,
> + dash = False,
> + discrete = False,
> + dots = 0,
> + grid = False,
> + series_legend = False,
> + x_labels = None,
> + y_labels = None,
> + x_bounds = None,
> + y_bounds = None,
> + z_bounds = None,
> + x_title = None,
> + y_title = None,
> + series_colors = None,
> + circle_colors = None ):
> +
> + self.bounds = {}
> + self.bounds[HORZ] = x_bounds
> + self.bounds[VERT] = y_bounds
> + self.bounds[NORM] = z_bounds
> + self.titles = {}
> + self.titles[HORZ] = x_title
> + self.titles[VERT] = y_title
> + self.max_value = {}
> + self.axis = axis
> + self.discrete = discrete
> + self.dots = dots
> + self.grid = grid
> + self.series_legend = series_legend
> + self.variable_radius = False
> + self.x_label_angle = math.pi / 2.5
> + self.circle_colors = circle_colors
> +
> + Plot.__init__(self, surface, data, width, height, background, border, x_labels, y_labels, series_colors)
> +
> + self.dash = None
> + if dash:
> + if hasattr(dash, "keys"):
> + self.dash = [dash[key] for key in self.series_labels]
> + elif max([hasattr(item,'__delitem__') for item in data]) :
> + self.dash = dash
> + else:
> + self.dash = [dash]
> +
> + self.load_errors(errorx, errory)
> +
> + def convert_list_to_tuple(self, data):
> + #Data must be converted from lists of coordinates to a single
> + # list of tuples
> + out_data = zip(*data)
> + if len(data) == 3:
> + self.variable_radius = True
> + return out_data
> +
> + def load_series(self, data, x_labels = None, y_labels = None, series_colors=None):
> + #TODO: In cairoplot 2.0 keep only the Series instances
> +
> + # Convert Data and Group to Series
> + if isinstance(data, Data) or isinstance(data, Group):
> + data = Series(data)
> +
> + # Series
> + if isinstance(data, Series):
> + for group in data:
> + for item in group:
> + if len(item) is 3:
> + self.variable_radius = True
> +
> + #Dictionary with lists
> + if hasattr(data, "keys") :
> + if hasattr( data.values()[0][0], "__delitem__" ) :
> + for key in data.keys() :
> + data[key] = self.convert_list_to_tuple(data[key])
> + elif len(data.values()[0][0]) == 3:
> + self.variable_radius = True
> + #List
> + elif hasattr(data[0], "__delitem__") :
> + #List of lists
> + if hasattr(data[0][0], "__delitem__") :
> + for index,value in enumerate(data) :
> + data[index] = self.convert_list_to_tuple(value)
> + #List
> + elif type(data[0][0]) != type((0,0)):
> + data = self.convert_list_to_tuple(data)
> + #Three dimensional data
> + elif len(data[0][0]) == 3:
> + self.variable_radius = True
> +
> + #List with three dimensional tuples
> + elif len(data[0]) == 3:
> + self.variable_radius = True
> + Plot.load_series(self, data, x_labels, y_labels, series_colors)
> + self.calc_boundaries()
> + self.calc_labels()
> +
> + def load_errors(self, errorx, errory):
> + self.errors = None
> + if errorx == None and errory == None:
> + return
> + self.errors = {}
> + self.errors[HORZ] = None
> + self.errors[VERT] = None
> + #asimetric errors
> + if errorx and hasattr(errorx[0], "__delitem__"):
> + self.errors[HORZ] = errorx
> + #simetric errors
> + elif errorx:
> + self.errors[HORZ] = [errorx]
> + #asimetric errors
> + if errory and hasattr(errory[0], "__delitem__"):
> + self.errors[VERT] = errory
> + #simetric errors
> + elif errory:
> + self.errors[VERT] = [errory]
> +
> + def calc_labels(self):
> + if not self.labels[HORZ]:
> + amplitude = self.bounds[HORZ][1] - self.bounds[HORZ][0]
> + if amplitude % 10: #if horizontal labels need floating points
> + self.labels[HORZ] = ["%.2lf" % (float(self.bounds[HORZ][0] + (amplitude * i / 10.0))) for i in range(11) ]
> + else:
> + self.labels[HORZ] = ["%d" % (int(self.bounds[HORZ][0] + (amplitude * i / 10.0))) for i in range(11) ]
> + if not self.labels[VERT]:
> + amplitude = self.bounds[VERT][1] - self.bounds[VERT][0]
> + if amplitude % 10: #if vertical labels need floating points
> + self.labels[VERT] = ["%.2lf" % (float(self.bounds[VERT][0] + (amplitude * i / 10.0))) for i in range(11) ]
> + else:
> + self.labels[VERT] = ["%d" % (int(self.bounds[VERT][0] + (amplitude * i / 10.0))) for i in range(11) ]
> +
> + def calc_extents(self, direction):
> + self.context.set_font_size(self.font_size * 0.8)
> + self.max_value[direction] = max(self.context.text_extents(item)[2] for item in self.labels[direction])
> + self.borders[other_direction(direction)] = self.max_value[direction] + self.border + 20
> +
> + def calc_boundaries(self):
> + #HORZ = 0, VERT = 1, NORM = 2
> + min_data_value = [0,0,0]
> + max_data_value = [0,0,0]
> +
> + for group in self.series:
> + if type(group[0].content) in (int, float, long):
> + group = [Data((index, item.content)) for index,item in enumerate(group)]
> +
> + for point in group:
> + for index, item in enumerate(point.content):
> + if item > max_data_value[index]:
> + max_data_value[index] = item
> + elif item < min_data_value[index]:
> + min_data_value[index] = item
> +
> + if not self.bounds[HORZ]:
> + self.bounds[HORZ] = (min_data_value[HORZ], max_data_value[HORZ])
> + if not self.bounds[VERT]:
> + self.bounds[VERT] = (min_data_value[VERT], max_data_value[VERT])
> + if not self.bounds[NORM]:
> + self.bounds[NORM] = (min_data_value[NORM], max_data_value[NORM])
> +
> + def calc_all_extents(self):
> + self.calc_extents(HORZ)
> + self.calc_extents(VERT)
> +
> + self.plot_height = self.dimensions[VERT] - 2 * self.borders[VERT]
> + self.plot_width = self.dimensions[HORZ] - 2* self.borders[HORZ]
> +
> + self.plot_top = self.dimensions[VERT] - self.borders[VERT]
> +
> + def calc_steps(self):
> + #Calculates all the x, y, z and color steps
> + series_amplitude = [self.bounds[index][1] - self.bounds[index][0] for index in range(3)]
> +
> + if series_amplitude[HORZ]:
> + self.horizontal_step = float (self.plot_width) / series_amplitude[HORZ]
> + else:
> + self.horizontal_step = 0.00
> +
> + if series_amplitude[VERT]:
> + self.vertical_step = float (self.plot_height) / series_amplitude[VERT]
> + else:
> + self.vertical_step = 0.00
> +
> + if series_amplitude[NORM]:
> + if self.variable_radius:
> + self.z_step = float (self.bounds[NORM][1]) / series_amplitude[NORM]
> + if self.circle_colors:
> + self.circle_color_step = tuple([float(self.circle_colors[1][i]-self.circle_colors[0][i])/series_amplitude[NORM] for i in range(4)])
> + else:
> + self.z_step = 0.00
> + self.circle_color_step = ( 0.0, 0.0, 0.0, 0.0 )
> +
> + def get_circle_color(self, value):
> + return tuple( [self.circle_colors[0][i] + value*self.circle_color_step[i] for i in range(4)] )
> +
> + def render(self):
> + self.calc_all_extents()
> + self.calc_steps()
> + self.render_background()
> + self.render_bounding_box()
> + if self.axis:
> + self.render_axis()
> + if self.grid:
> + self.render_grid()
> + self.render_labels()
> + self.render_plot()
> + if self.errors:
> + self.render_errors()
> + if self.series_legend and self.series_labels:
> + self.render_legend()
> +
> + def render_axis(self):
> + #Draws both the axis lines and their titles
> + cr = self.context
> + cr.set_source_rgba(*self.line_color)
> + cr.move_to(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT])
> + cr.line_to(self.borders[HORZ], self.borders[VERT])
> + cr.stroke()
> +
> + cr.move_to(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT])
> + cr.line_to(self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT])
> + cr.stroke()
> +
> + cr.set_source_rgba(*self.label_color)
> + self.context.set_font_size( 1.2 * self.font_size )
> + if self.titles[HORZ]:
> + title_width,title_height = cr.text_extents(self.titles[HORZ])[2:4]
> + cr.move_to( self.dimensions[HORZ]/2 - title_width/2, self.borders[VERT] - title_height/2 )
> + cr.show_text( self.titles[HORZ] )
> +
> + if self.titles[VERT]:
> + title_width,title_height = cr.text_extents(self.titles[VERT])[2:4]
> + cr.move_to( self.dimensions[HORZ] - self.borders[HORZ] + title_height/2, self.dimensions[VERT]/2 - title_width/2)
> + cr.save()
> + cr.rotate( math.pi/2 )
> + cr.show_text( self.titles[VERT] )
> + cr.restore()
> +
> + def render_grid(self):
> + cr = self.context
> + horizontal_step = float( self.plot_height ) / ( len( self.labels[VERT] ) - 1 )
> + vertical_step = float( self.plot_width ) / ( len( self.labels[HORZ] ) - 1 )
> +
> + x = self.borders[HORZ] + vertical_step
> + y = self.plot_top - horizontal_step
> +
> + for label in self.labels[HORZ][:-1]:
> + cr.set_source_rgba(*self.grid_color)
> + cr.move_to(x, self.dimensions[VERT] - self.borders[VERT])
> + cr.line_to(x, self.borders[VERT])
> + cr.stroke()
> + x += vertical_step
> + for label in self.labels[VERT][:-1]:
> + cr.set_source_rgba(*self.grid_color)
> + cr.move_to(self.borders[HORZ], y)
> + cr.line_to(self.dimensions[HORZ] - self.borders[HORZ], y)
> + cr.stroke()
> + y -= horizontal_step
> +
> + def render_labels(self):
> + self.context.set_font_size(self.font_size * 0.8)
> + self.render_horz_labels()
> + self.render_vert_labels()
> +
> + def render_horz_labels(self):
> + cr = self.context
> + step = float( self.plot_width ) / ( len( self.labels[HORZ] ) - 1 )
> + x = self.borders[HORZ]
> + y = self.dimensions[VERT] - self.borders[VERT] + 5
> +
> + # store rotation matrix from the initial state
> + rotation_matrix = cr.get_matrix()
> + rotation_matrix.rotate(self.x_label_angle)
> +
> + cr.set_source_rgba(*self.label_color)
> +
> + for item in self.labels[HORZ]:
> + width = cr.text_extents(item)[2]
> + cr.move_to(x, y)
> + cr.save()
> + cr.set_matrix(rotation_matrix)
> + cr.show_text(item)
> + cr.restore()
> + x += step
> +
> + def render_vert_labels(self):
> + cr = self.context
> + step = ( self.plot_height ) / ( len( self.labels[VERT] ) - 1 )
> + y = self.plot_top
> + cr.set_source_rgba(*self.label_color)
> + for item in self.labels[VERT]:
> + width = cr.text_extents(item)[2]
> + cr.move_to(self.borders[HORZ] - width - 5,y)
> + cr.show_text(item)
> + y -= step
> +
> + def render_legend(self):
> + cr = self.context
> + cr.set_font_size(self.font_size)
> + cr.set_line_width(self.line_width)
> +
> + widest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[2])
> + tallest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[3])
> + max_width = self.context.text_extents(widest_word)[2]
> + max_height = self.context.text_extents(tallest_word)[3] * 1.1
> +
> + color_box_height = max_height / 2
> + color_box_width = color_box_height * 2
> +
> + #Draw a bounding box
> + bounding_box_width = max_width + color_box_width + 15
> + bounding_box_height = (len(self.series_labels)+0.5) * max_height
> + cr.set_source_rgba(1,1,1)
> + cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - bounding_box_width, self.borders[VERT],
> + bounding_box_width, bounding_box_height)
> + cr.fill()
> +
> + cr.set_source_rgba(*self.line_color)
> + cr.set_line_width(self.line_width)
> + cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - bounding_box_width, self.borders[VERT],
> + bounding_box_width, bounding_box_height)
> + cr.stroke()
> +
> + for idx,key in enumerate(self.series_labels):
> + #Draw color box
> + cr.set_source_rgba(*self.series_colors[idx][:4])
> + cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - max_width - color_box_width - 10,
> + self.borders[VERT] + color_box_height + (idx*max_height) ,
> + color_box_width, color_box_height)
> + cr.fill()
> +
> + cr.set_source_rgba(0, 0, 0)
> + cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - max_width - color_box_width - 10,
> + self.borders[VERT] + color_box_height + (idx*max_height),
> + color_box_width, color_box_height)
> + cr.stroke()
> +
> + #Draw series labels
> + cr.set_source_rgba(0, 0, 0)
> + cr.move_to(self.dimensions[HORZ] - self.borders[HORZ] - max_width - 5, self.borders[VERT] + ((idx+1)*max_height))
> + cr.show_text(key)
> +
> + def render_errors(self):
> + cr = self.context
> + cr.rectangle(self.borders[HORZ], self.borders[VERT], self.plot_width, self.plot_height)
> + cr.clip()
> + radius = self.dots
> + x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step
> + y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step
> + for index, group in enumerate(self.series):
> + cr.set_source_rgba(*self.series_colors[index][:4])
> + for number, data in enumerate(group):
> + x = x0 + self.horizontal_step * data.content[0]
> + y = self.dimensions[VERT] - y0 - self.vertical_step * data.content[1]
> + if self.errors[HORZ]:
> + cr.move_to(x, y)
> + x1 = x - self.horizontal_step * self.errors[HORZ][0][number]
> + cr.line_to(x1, y)
> + cr.line_to(x1, y - radius)
> + cr.line_to(x1, y + radius)
> + cr.stroke()
> + if self.errors[HORZ] and len(self.errors[HORZ]) == 2:
> + cr.move_to(x, y)
> + x1 = x + self.horizontal_step * self.errors[HORZ][1][number]
> + cr.line_to(x1, y)
> + cr.line_to(x1, y - radius)
> + cr.line_to(x1, y + radius)
> + cr.stroke()
> + if self.errors[VERT]:
> + cr.move_to(x, y)
> + y1 = y + self.vertical_step * self.errors[VERT][0][number]
> + cr.line_to(x, y1)
> + cr.line_to(x - radius, y1)
> + cr.line_to(x + radius, y1)
> + cr.stroke()
> + if self.errors[VERT] and len(self.errors[VERT]) == 2:
> + cr.move_to(x, y)
> + y1 = y - self.vertical_step * self.errors[VERT][1][number]
> + cr.line_to(x, y1)
> + cr.line_to(x - radius, y1)
> + cr.line_to(x + radius, y1)
> + cr.stroke()
> +
> +
> + def render_plot(self):
> + cr = self.context
> + if self.discrete:
> + cr.rectangle(self.borders[HORZ], self.borders[VERT], self.plot_width, self.plot_height)
> + cr.clip()
> + x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step
> + y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step
> + radius = self.dots
> + for number, group in enumerate (self.series):
> + cr.set_source_rgba(*self.series_colors[number][:4])
> + for data in group :
> + if self.variable_radius:
> + radius = data.content[2]*self.z_step
> + if self.circle_colors:
> + cr.set_source_rgba( *self.get_circle_color( data.content[2]) )
> + x = x0 + self.horizontal_step*data.content[0]
> + y = y0 + self.vertical_step*data.content[1]
> + cr.arc(x, self.dimensions[VERT] - y, radius, 0, 2*math.pi)
> + cr.fill()
> + else:
> + cr.rectangle(self.borders[HORZ], self.borders[VERT], self.plot_width, self.plot_height)
> + cr.clip()
> + x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step
> + y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step
> + radius = self.dots
> + for number, group in enumerate (self.series):
> + last_data = None
> + cr.set_source_rgba(*self.series_colors[number][:4])
> + for data in group :
> + x = x0 + self.horizontal_step*data.content[0]
> + y = y0 + self.vertical_step*data.content[1]
> + if self.dots:
> + if self.variable_radius:
> + radius = data.content[2]*self.z_step
> + cr.arc(x, self.dimensions[VERT] - y, radius, 0, 2*math.pi)
> + cr.fill()
> + if last_data :
> + old_x = x0 + self.horizontal_step*last_data.content[0]
> + old_y = y0 + self.vertical_step*last_data.content[1]
> + cr.move_to( old_x, self.dimensions[VERT] - old_y )
> + cr.line_to( x, self.dimensions[VERT] - y)
> + cr.set_line_width(self.series_widths[number])
> +
> + # Display line as dash line
> + if self.dash and self.dash[number]:
> + s = self.series_widths[number]
> + cr.set_dash([s*3, s*3], 0)
> +
> + cr.stroke()
> + cr.set_dash([])
> + last_data = data
> +
> +class DotLinePlot(ScatterPlot):
> + def __init__(self,
> + surface=None,
> + data=None,
> + width=640,
> + height=480,
> + background=None,
> + border=0,
> + axis = False,
> + dash = False,
> + dots = 0,
> + grid = False,
> + series_legend = False,
> + x_labels = None,
> + y_labels = None,
> + x_bounds = None,
> + y_bounds = None,
> + x_title = None,
> + y_title = None,
> + series_colors = None):
> +
> + ScatterPlot.__init__(self, surface, data, None, None, width, height, background, border,
> + axis, dash, False, dots, grid, series_legend, x_labels, y_labels,
> + x_bounds, y_bounds, None, x_title, y_title, series_colors, None )
> +
> +
> + def load_series(self, data, x_labels = None, y_labels = None, series_colors=None):
> + Plot.load_series(self, data, x_labels, y_labels, series_colors)
> + for group in self.series :
> + for index,data in enumerate(group):
> + group[index].content = (index, data.content)
> +
> + self.calc_boundaries()
> + self.calc_labels()
> +
> +class FunctionPlot(ScatterPlot):
> + def __init__(self,
> + surface=None,
> + data=None,
> + width=640,
> + height=480,
> + background=None,
> + border=0,
> + axis = False,
> + discrete = False,
> + dots = 0,
> + grid = False,
> + series_legend = False,
> + x_labels = None,
> + y_labels = None,
> + x_bounds = None,
> + y_bounds = None,
> + x_title = None,
> + y_title = None,
> + series_colors = None,
> + step = 1):
> +
> + self.function = data
> + self.step = step
> + self.discrete = discrete
> +
> + data, x_bounds = self.load_series_from_function( self.function, x_bounds )
> +
> + ScatterPlot.__init__(self, surface, data, None, None, width, height, background, border,
> + axis, False, discrete, dots, grid, series_legend, x_labels, y_labels,
> + x_bounds, y_bounds, None, x_title, y_title, series_colors, None )
> +
> + def load_series(self, data, x_labels = None, y_labels = None, series_colors=None):
> + Plot.load_series(self, data, x_labels, y_labels, series_colors)
> +
> + if len(self.series[0][0]) is 1:
> + for group_id, group in enumerate(self.series) :
> + for index,data in enumerate(group):
> + group[index].content = (self.bounds[HORZ][0] + self.step*index, data.content)
> +
> + self.calc_boundaries()
> + self.calc_labels()
> +
> + def load_series_from_function( self, function, x_bounds ):
> + #TODO: Add the possibility for the user to define multiple functions with different discretization parameters
> +
> + #This function converts a function, a list of functions or a dictionary
> + #of functions into its corresponding array of data
> + series = Series()
> +
> + if isinstance(function, Group) or isinstance(function, Data):
> + function = Series(function)
> +
> + # If is instance of Series
> + if isinstance(function, Series):
> + # Overwrite any bounds passed by the function
> + x_bounds = (function.range[0],function.range[-1])
> +
> + #if no bounds are provided
> + if x_bounds == None:
> + x_bounds = (0,10)
> +
> +
> + #TODO: Finish the dict translation
> + if hasattr(function, "keys"): #dictionary:
> + for key in function.keys():
> + group = Group(name=key)
> + #data[ key ] = []
> + i = x_bounds[0]
> + while i <= x_bounds[1] :
> + group.add_data(function[ key ](i))
> + #data[ key ].append( function[ key ](i) )
> + i += self.step
> + series.add_group(group)
> +
> + elif hasattr(function, "__delitem__"): #list of functions
> + for index,f in enumerate( function ) :
> + group = Group()
> + #data.append( [] )
> + i = x_bounds[0]
> + while i <= x_bounds[1] :
> + group.add_data(f(i))
> + #data[ index ].append( f(i) )
> + i += self.step
> + series.add_group(group)
> +
> + elif isinstance(function, Series): # instance of Series
> + series = function
> +
> + else: #function
> + group = Group()
> + i = x_bounds[0]
> + while i <= x_bounds[1] :
> + group.add_data(function(i))
> + i += self.step
> + series.add_group(group)
> +
> +
> + return series, x_bounds
> +
> + def calc_labels(self):
> + if not self.labels[HORZ]:
> + self.labels[HORZ] = []
> + i = self.bounds[HORZ][0]
> + while i<=self.bounds[HORZ][1]:
> + self.labels[HORZ].append(str(i))
> + i += float(self.bounds[HORZ][1] - self.bounds[HORZ][0])/10
> + ScatterPlot.calc_labels(self)
> +
> + def render_plot(self):
> + if not self.discrete:
> + ScatterPlot.render_plot(self)
> + else:
> + last = None
> + cr = self.context
> + for number, group in enumerate (self.series):
> + cr.set_source_rgba(*self.series_colors[number][:4])
> + x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step
> + y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step
> + for data in group:
> + x = x0 + self.horizontal_step * data.content[0]
> + y = y0 + self.vertical_step * data.content[1]
> + cr.move_to(x, self.dimensions[VERT] - y)
> + cr.line_to(x, self.plot_top)
> + cr.set_line_width(self.series_widths[number])
> + cr.stroke()
> + if self.dots:
> + cr.new_path()
> + cr.arc(x, self.dimensions[VERT] - y, 3, 0, 2.1 * math.pi)
> + cr.close_path()
> + cr.fill()
> +
> +class BarPlot(Plot):
> + def __init__(self,
> + surface = None,
> + data = None,
> + width = 640,
> + height = 480,
> + background = "white light_gray",
> + border = 0,
> + display_values = False,
> + grid = False,
> + rounded_corners = False,
> + stack = False,
> + three_dimension = False,
> + x_labels = None,
> + y_labels = None,
> + x_bounds = None,
> + y_bounds = None,
> + series_colors = None,
> + main_dir = None):
> +
> + self.bounds = {}
> + self.bounds[HORZ] = x_bounds
> + self.bounds[VERT] = y_bounds
> + self.display_values = display_values
> + self.grid = grid
> + self.rounded_corners = rounded_corners
> + self.stack = stack
> + self.three_dimension = three_dimension
> + self.x_label_angle = math.pi / 2.5
> + self.main_dir = main_dir
> + self.max_value = {}
> + self.plot_dimensions = {}
> + self.steps = {}
> + self.value_label_color = (0.5,0.5,0.5,1.0)
> +
> + Plot.__init__(self, surface, data, width, height, background, border, x_labels, y_labels, series_colors)
> +
> + def load_series(self, data, x_labels = None, y_labels = None, series_colors = None):
> + Plot.load_series(self, data, x_labels, y_labels, series_colors)
> + self.calc_boundaries()
> +
> + def process_colors(self, series_colors):
> + #Data for a BarPlot might be a List or a List of Lists.
> + #On the first case, colors must be generated for all bars,
> + #On the second, colors must be generated for each of the inner lists.
> +
> + #TODO: Didn't get it...
> + #if hasattr(self.data[0], '__getitem__'):
> + # length = max(len(series) for series in self.data)
> + #else:
> + # length = len( self.data )
> +
> + length = max(len(group) for group in self.series)
> +
> + Plot.process_colors( self, series_colors, length, 'linear')
> +
> + def calc_boundaries(self):
> + if not self.bounds[self.main_dir]:
> + if self.stack:
> + max_data_value = max(sum(group.to_list()) for group in self.series)
> + else:
> + max_data_value = max(max(group.to_list()) for group in self.series)
> + self.bounds[self.main_dir] = (0, max_data_value)
> + if not self.bounds[other_direction(self.main_dir)]:
> + self.bounds[other_direction(self.main_dir)] = (0, len(self.series))
> +
> + def calc_extents(self, direction):
> + self.max_value[direction] = 0
> + if self.labels[direction]:
> + widest_word = max(self.labels[direction], key = lambda item: self.context.text_extents(item)[2])
> + self.max_value[direction] = self.context.text_extents(widest_word)[3 - direction]
> + self.borders[other_direction(direction)] = (2-direction)*self.max_value[direction] + self.border + direction*(5)
> + else:
> + self.borders[other_direction(direction)] = self.border
> +
> + def calc_horz_extents(self):
> + self.calc_extents(HORZ)
> +
> + def calc_vert_extents(self):
> + self.calc_extents(VERT)
> +
> + def calc_all_extents(self):
> + self.calc_horz_extents()
> + self.calc_vert_extents()
> + other_dir = other_direction(self.main_dir)
> + self.value_label = 0
> + if self.display_values:
> + if self.stack:
> + self.value_label = self.context.text_extents(str(max(sum(group.to_list()) for group in self.series)))[2 + self.main_dir]
> + else:
> + self.value_label = self.context.text_extents(str(max(max(group.to_list()) for group in self.series)))[2 + self.main_dir]
> + if self.labels[self.main_dir]:
> + self.plot_dimensions[self.main_dir] = self.dimensions[self.main_dir] - 2*self.borders[self.main_dir] - self.value_label
> + else:
> + self.plot_dimensions[self.main_dir] = self.dimensions[self.main_dir] - self.borders[self.main_dir] - 1.2*self.border - self.value_label
> + self.plot_dimensions[other_dir] = self.dimensions[other_dir] - self.borders[other_dir] - self.border
> + self.plot_top = self.dimensions[VERT] - self.borders[VERT]
> +
> + def calc_steps(self):
> + other_dir = other_direction(self.main_dir)
> + self.series_amplitude = self.bounds[self.main_dir][1] - self.bounds[self.main_dir][0]
> + if self.series_amplitude:
> + self.steps[self.main_dir] = float(self.plot_dimensions[self.main_dir])/self.series_amplitude
> + else:
> + self.steps[self.main_dir] = 0.00
> + series_length = len(self.series)
> + self.steps[other_dir] = float(self.plot_dimensions[other_dir])/(series_length + 0.1*(series_length + 1))
> + self.space = 0.1*self.steps[other_dir]
> +
> + def render(self):
> + self.calc_all_extents()
> + self.calc_steps()
> + self.render_background()
> + self.render_bounding_box()
> + if self.grid:
> + self.render_grid()
> + if self.three_dimension:
> + self.render_ground()
> + if self.display_values:
> + self.render_values()
> + self.render_labels()
> + self.render_plot()
> + if self.series_labels:
> + self.render_legend()
> +
> + def draw_3d_rectangle_front(self, x0, y0, x1, y1, shift):
> + self.context.rectangle(x0-shift, y0+shift, x1-x0, y1-y0)
> +
> + def draw_3d_rectangle_side(self, x0, y0, x1, y1, shift):
> + self.context.move_to(x1-shift,y0+shift)
> + self.context.line_to(x1, y0)
> + self.context.line_to(x1, y1)
> + self.context.line_to(x1-shift, y1+shift)
> + self.context.line_to(x1-shift, y0+shift)
> + self.context.close_path()
> +
> + def draw_3d_rectangle_top(self, x0, y0, x1, y1, shift):
> + self.context.move_to(x0-shift,y0+shift)
> + self.context.line_to(x0, y0)
> + self.context.line_to(x1, y0)
> + self.context.line_to(x1-shift, y0+shift)
> + self.context.line_to(x0-shift, y0+shift)
> + self.context.close_path()
> +
> + def draw_round_rectangle(self, x0, y0, x1, y1):
> + self.context.arc(x0+5, y0+5, 5, -math.pi, -math.pi/2)
> + self.context.line_to(x1-5, y0)
> + self.context.arc(x1-5, y0+5, 5, -math.pi/2, 0)
> + self.context.line_to(x1, y1-5)
> + self.context.arc(x1-5, y1-5, 5, 0, math.pi/2)
> + self.context.line_to(x0+5, y1)
> + self.context.arc(x0+5, y1-5, 5, math.pi/2, math.pi)
> + self.context.line_to(x0, y0+5)
> + self.context.close_path()
> +
> + def render_ground(self):
> + self.draw_3d_rectangle_front(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
> + self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
> + self.context.fill()
> +
> + self.draw_3d_rectangle_side (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
> + self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
> + self.context.fill()
> +
> + self.draw_3d_rectangle_top (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
> + self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
> + self.context.fill()
> +
> + def render_labels(self):
> + self.context.set_font_size(self.font_size * 0.8)
> + if self.labels[HORZ]:
> + self.render_horz_labels()
> + if self.labels[VERT]:
> + self.render_vert_labels()
> +
> + def render_legend(self):
> + cr = self.context
> + cr.set_font_size(self.font_size)
> + cr.set_line_width(self.line_width)
> +
> + widest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[2])
> + tallest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[3])
> + max_width = self.context.text_extents(widest_word)[2]
> + max_height = self.context.text_extents(tallest_word)[3] * 1.1 + 5
> +
> + color_box_height = max_height / 2
> + color_box_width = color_box_height * 2
> +
> + #Draw a bounding box
> + bounding_box_width = max_width + color_box_width + 15
> + bounding_box_height = (len(self.series_labels)+0.5) * max_height
> + cr.set_source_rgba(1,1,1)
> + cr.rectangle(self.dimensions[HORZ] - self.border - bounding_box_width, self.border,
> + bounding_box_width, bounding_box_height)
> + cr.fill()
> +
> + cr.set_source_rgba(*self.line_color)
> + cr.set_line_width(self.line_width)
> + cr.rectangle(self.dimensions[HORZ] - self.border - bounding_box_width, self.border,
> + bounding_box_width, bounding_box_height)
> + cr.stroke()
> +
> + for idx,key in enumerate(self.series_labels):
> + #Draw color box
> + cr.set_source_rgba(*self.series_colors[idx][:4])
> + cr.rectangle(self.dimensions[HORZ] - self.border - max_width - color_box_width - 10,
> + self.border + color_box_height + (idx*max_height) ,
> + color_box_width, color_box_height)
> + cr.fill()
> +
> + cr.set_source_rgba(0, 0, 0)
> + cr.rectangle(self.dimensions[HORZ] - self.border - max_width - color_box_width - 10,
> + self.border + color_box_height + (idx*max_height),
> + color_box_width, color_box_height)
> + cr.stroke()
> +
> + #Draw series labels
> + cr.set_source_rgba(0, 0, 0)
> + cr.move_to(self.dimensions[HORZ] - self.border - max_width - 5, self.border + ((idx+1)*max_height))
> + cr.show_text(key)
> +
> +
> +class HorizontalBarPlot(BarPlot):
> + def __init__(self,
> + surface = None,
> + data = None,
> + width = 640,
> + height = 480,
> + background = "white light_gray",
> + border = 0,
> + display_values = False,
> + grid = False,
> + rounded_corners = False,
> + stack = False,
> + three_dimension = False,
> + series_labels = None,
> + x_labels = None,
> + y_labels = None,
> + x_bounds = None,
> + y_bounds = None,
> + series_colors = None):
> +
> + BarPlot.__init__(self, surface, data, width, height, background, border,
> + display_values, grid, rounded_corners, stack, three_dimension,
> + x_labels, y_labels, x_bounds, y_bounds, series_colors, HORZ)
> + self.series_labels = series_labels
> +
> + def calc_vert_extents(self):
> + self.calc_extents(VERT)
> + if self.labels[HORZ] and not self.labels[VERT]:
> + self.borders[HORZ] += 10
> +
> + def draw_rectangle_bottom(self, x0, y0, x1, y1):
> + self.context.arc(x0+5, y1-5, 5, math.pi/2, math.pi)
> + self.context.line_to(x0, y0+5)
> + self.context.arc(x0+5, y0+5, 5, -math.pi, -math.pi/2)
> + self.context.line_to(x1, y0)
> + self.context.line_to(x1, y1)
> + self.context.line_to(x0+5, y1)
> + self.context.close_path()
> +
> + def draw_rectangle_top(self, x0, y0, x1, y1):
> + self.context.arc(x1-5, y0+5, 5, -math.pi/2, 0)
> + self.context.line_to(x1, y1-5)
> + self.context.arc(x1-5, y1-5, 5, 0, math.pi/2)
> + self.context.line_to(x0, y1)
> + self.context.line_to(x0, y0)
> + self.context.line_to(x1, y0)
> + self.context.close_path()
> +
> + def draw_rectangle(self, index, length, x0, y0, x1, y1):
> + if length == 1:
> + BarPlot.draw_rectangle(self, x0, y0, x1, y1)
> + elif index == 0:
> + self.draw_rectangle_bottom(x0, y0, x1, y1)
> + elif index == length-1:
> + self.draw_rectangle_top(x0, y0, x1, y1)
> + else:
> + self.context.rectangle(x0, y0, x1-x0, y1-y0)
> +
> + #TODO: Review BarPlot.render_grid code
> + def render_grid(self):
> + self.context.set_source_rgba(0.8, 0.8, 0.8)
> + if self.labels[HORZ]:
> + self.context.set_font_size(self.font_size * 0.8)
> + step = (self.dimensions[HORZ] - 2*self.borders[HORZ] - self.value_label)/(len(self.labels[HORZ])-1)
> + x = self.borders[HORZ]
> + next_x = 0
> + for item in self.labels[HORZ]:
> + width = self.context.text_extents(item)[2]
> + if x - width/2 > next_x and x - width/2 > self.border:
> + self.context.move_to(x, self.border)
> + self.context.line_to(x, self.dimensions[VERT] - self.borders[VERT])
> + self.context.stroke()
> + next_x = x + width/2
> + x += step
> + else:
> + lines = 11
> + horizontal_step = float(self.plot_dimensions[HORZ])/(lines-1)
> + x = self.borders[HORZ]
> + for y in xrange(0, lines):
> + self.context.move_to(x, self.border)
> + self.context.line_to(x, self.dimensions[VERT] - self.borders[VERT])
> + self.context.stroke()
> + x += horizontal_step
> +
> + def render_horz_labels(self):
> + step = (self.dimensions[HORZ] - 2*self.borders[HORZ])/(len(self.labels[HORZ])-1)
> + x = self.borders[HORZ]
> + next_x = 0
> +
> + for item in self.labels[HORZ]:
> + self.context.set_source_rgba(*self.label_color)
> + width = self.context.text_extents(item)[2]
> + if x - width/2 > next_x and x - width/2 > self.border:
> + self.context.move_to(x - width/2, self.dimensions[VERT] - self.borders[VERT] + self.max_value[HORZ] + 3)
> + self.context.show_text(item)
> + next_x = x + width/2
> + x += step
> +
> + def render_vert_labels(self):
> + series_length = len(self.labels[VERT])
> + step = (self.plot_dimensions[VERT] - (series_length + 1)*self.space)/(len(self.labels[VERT]))
> + y = self.border + step/2 + self.space
> +
> + for item in self.labels[VERT]:
> + self.context.set_source_rgba(*self.label_color)
> + width, height = self.context.text_extents(item)[2:4]
> + self.context.move_to(self.borders[HORZ] - width - 5, y + height/2)
> + self.context.show_text(item)
> + y += step + self.space
> + self.labels[VERT].reverse()
> +
> + def render_values(self):
> + self.context.set_source_rgba(*self.value_label_color)
> + self.context.set_font_size(self.font_size * 0.8)
> + if self.stack:
> + for i,group in enumerate(self.series):
> + value = sum(group.to_list())
> + height = self.context.text_extents(str(value))[3]
> + x = self.borders[HORZ] + value*self.steps[HORZ] + 2
> + y = self.borders[VERT] + (i+0.5)*self.steps[VERT] + (i+1)*self.space + height/2
> + self.context.move_to(x, y)
> + self.context.show_text(str(value))
> + else:
> + for i,group in enumerate(self.series):
> + inner_step = self.steps[VERT]/len(group)
> + y0 = self.border + i*self.steps[VERT] + (i+1)*self.space
> + for number,data in enumerate(group):
> + height = self.context.text_extents(str(data.content))[3]
> + self.context.move_to(self.borders[HORZ] + data.content*self.steps[HORZ] + 2, y0 + 0.5*inner_step + height/2, )
> + self.context.show_text(str(data.content))
> + y0 += inner_step
> +
> + def render_plot(self):
> + if self.stack:
> + for i,group in enumerate(self.series):
> + x0 = self.borders[HORZ]
> + y0 = self.borders[VERT] + i*self.steps[VERT] + (i+1)*self.space
> + for number,data in enumerate(group):
> + if self.series_colors[number][4] in ('radial','linear') :
> + linear = cairo.LinearGradient( data.content*self.steps[HORZ]/2, y0, data.content*self.steps[HORZ]/2, y0 + self.steps[VERT] )
> + color = self.series_colors[number]
> + linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
> + linear.add_color_stop_rgba(1.0, *color[:4])
> + self.context.set_source(linear)
> + elif self.series_colors[number][4] == 'solid':
> + self.context.set_source_rgba(*self.series_colors[number][:4])
> + if self.rounded_corners:
> + self.draw_rectangle(number, len(group), x0, y0, x0+data.content*self.steps[HORZ], y0+self.steps[VERT])
> + self.context.fill()
> + else:
> + self.context.rectangle(x0, y0, data.content*self.steps[HORZ], self.steps[VERT])
> + self.context.fill()
> + x0 += data.content*self.steps[HORZ]
> + else:
> + for i,group in enumerate(self.series):
> + inner_step = self.steps[VERT]/len(group)
> + x0 = self.borders[HORZ]
> + y0 = self.border + i*self.steps[VERT] + (i+1)*self.space
> + for number,data in enumerate(group):
> + linear = cairo.LinearGradient(data.content*self.steps[HORZ]/2, y0, data.content*self.steps[HORZ]/2, y0 + inner_step)
> + color = self.series_colors[number]
> + linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
> + linear.add_color_stop_rgba(1.0, *color[:4])
> + self.context.set_source(linear)
> + if self.rounded_corners and data.content != 0:
> + BarPlot.draw_round_rectangle(self,x0, y0, x0 + data.content*self.steps[HORZ], y0 + inner_step)
> + self.context.fill()
> + else:
> + self.context.rectangle(x0, y0, data.content*self.steps[HORZ], inner_step)
> + self.context.fill()
> + y0 += inner_step
> +
> +class VerticalBarPlot(BarPlot):
> + def __init__(self,
> + surface = None,
> + data = None,
> + width = 640,
> + height = 480,
> + background = "white light_gray",
> + border = 0,
> + display_values = False,
> + grid = False,
> + rounded_corners = False,
> + stack = False,
> + three_dimension = False,
> + series_labels = None,
> + x_labels = None,
> + y_labels = None,
> + x_bounds = None,
> + y_bounds = None,
> + series_colors = None):
> +
> + BarPlot.__init__(self, surface, data, width, height, background, border,
> + display_values, grid, rounded_corners, stack, three_dimension,
> + x_labels, y_labels, x_bounds, y_bounds, series_colors, VERT)
> + self.series_labels = series_labels
> +
> + def calc_vert_extents(self):
> + self.calc_extents(VERT)
> + if self.labels[VERT] and not self.labels[HORZ]:
> + self.borders[VERT] += 10
> +
> + def draw_rectangle_bottom(self, x0, y0, x1, y1):
> + self.context.move_to(x1,y1)
> + self.context.arc(x1-5, y1-5, 5, 0, math.pi/2)
> + self.context.line_to(x0+5, y1)
> + self.context.arc(x0+5, y1-5, 5, math.pi/2, math.pi)
> + self.context.line_to(x0, y0)
> + self.context.line_to(x1, y0)
> + self.context.line_to(x1, y1)
> + self.context.close_path()
> +
> + def draw_rectangle_top(self, x0, y0, x1, y1):
> + self.context.arc(x0+5, y0+5, 5, -math.pi, -math.pi/2)
> + self.context.line_to(x1-5, y0)
> + self.context.arc(x1-5, y0+5, 5, -math.pi/2, 0)
> + self.context.line_to(x1, y1)
> + self.context.line_to(x0, y1)
> + self.context.line_to(x0, y0)
> + self.context.close_path()
> +
> + def draw_rectangle(self, index, length, x0, y0, x1, y1):
> + if length == 1:
> + BarPlot.draw_rectangle(self, x0, y0, x1, y1)
> + elif index == 0:
> + self.draw_rectangle_bottom(x0, y0, x1, y1)
> + elif index == length-1:
> + self.draw_rectangle_top(x0, y0, x1, y1)
> + else:
> + self.context.rectangle(x0, y0, x1-x0, y1-y0)
> +
> + def render_grid(self):
> + self.context.set_source_rgba(0.8, 0.8, 0.8)
> + if self.labels[VERT]:
> + lines = len(self.labels[VERT])
> + vertical_step = float(self.plot_dimensions[self.main_dir])/(lines-1)
> + y = self.borders[VERT] + self.value_label
> + else:
> + lines = 11
> + vertical_step = float(self.plot_dimensions[self.main_dir])/(lines-1)
> + y = 1.2*self.border + self.value_label
> + for x in xrange(0, lines):
> + self.context.move_to(self.borders[HORZ], y)
> + self.context.line_to(self.dimensions[HORZ] - self.border, y)
> + self.context.stroke()
> + y += vertical_step
> +
> + def render_ground(self):
> + self.draw_3d_rectangle_front(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
> + self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
> + self.context.fill()
> +
> + self.draw_3d_rectangle_side (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
> + self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
> + self.context.fill()
> +
> + self.draw_3d_rectangle_top (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
> + self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
> + self.context.fill()
> +
> + def render_horz_labels(self):
> + series_length = len(self.labels[HORZ])
> + step = float (self.plot_dimensions[HORZ] - (series_length + 1)*self.space)/len(self.labels[HORZ])
> + x = self.borders[HORZ] + step/2 + self.space
> + next_x = 0
> +
> + for item in self.labels[HORZ]:
> + self.context.set_source_rgba(*self.label_color)
> + width = self.context.text_extents(item)[2]
> + if x - width/2 > next_x and x - width/2 > self.borders[HORZ]:
> + self.context.move_to(x - width/2, self.dimensions[VERT] - self.borders[VERT] + self.max_value[HORZ] + 3)
> + self.context.show_text(item)
> + next_x = x + width/2
> + x += step + self.space
> +
> + def render_vert_labels(self):
> + self.context.set_source_rgba(*self.label_color)
> + y = self.borders[VERT] + self.value_label
> + step = (self.dimensions[VERT] - 2*self.borders[VERT] - self.value_label)/(len(self.labels[VERT]) - 1)
> + self.labels[VERT].reverse()
> + for item in self.labels[VERT]:
> + width, height = self.context.text_extents(item)[2:4]
> + self.context.move_to(self.borders[HORZ] - width - 5, y + height/2)
> + self.context.show_text(item)
> + y += step
> + self.labels[VERT].reverse()
> +
> + def render_values(self):
> + self.context.set_source_rgba(*self.value_label_color)
> + self.context.set_font_size(self.font_size * 0.8)
> + if self.stack:
> + for i,group in enumerate(self.series):
> + value = sum(group.to_list())
> + width = self.context.text_extents(str(value))[2]
> + x = self.borders[HORZ] + (i+0.5)*self.steps[HORZ] + (i+1)*self.space - width/2
> + y = value*self.steps[VERT] + 2
> + self.context.move_to(x, self.plot_top-y)
> + self.context.show_text(str(value))
> + else:
> + for i,group in enumerate(self.series):
> + inner_step = self.steps[HORZ]/len(group)
> + x0 = self.borders[HORZ] + i*self.steps[HORZ] + (i+1)*self.space
> + for number,data in enumerate(group):
> + width = self.context.text_extents(str(data.content))[2]
> + self.context.move_to(x0 + 0.5*inner_step - width/2, self.plot_top - data.content*self.steps[VERT] - 2)
> + self.context.show_text(str(data.content))
> + x0 += inner_step
> +
> + def render_plot(self):
> + if self.stack:
> + for i,group in enumerate(self.series):
> + x0 = self.borders[HORZ] + i*self.steps[HORZ] + (i+1)*self.space
> + y0 = 0
> + for number,data in enumerate(group):
> + if self.series_colors[number][4] in ('linear','radial'):
> + linear = cairo.LinearGradient( x0, data.content*self.steps[VERT]/2, x0 + self.steps[HORZ], data.content*self.steps[VERT]/2 )
> + color = self.series_colors[number]
> + linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
> + linear.add_color_stop_rgba(1.0, *color[:4])
> + self.context.set_source(linear)
> + elif self.series_colors[number][4] == 'solid':
> + self.context.set_source_rgba(*self.series_colors[number][:4])
> + if self.rounded_corners:
> + self.draw_rectangle(number, len(group), x0, self.plot_top - y0 - data.content*self.steps[VERT], x0 + self.steps[HORZ], self.plot_top - y0)
> + self.context.fill()
> + else:
> + self.context.rectangle(x0, self.plot_top - y0 - data.content*self.steps[VERT], self.steps[HORZ], data.content*self.steps[VERT])
> + self.context.fill()
> + y0 += data.content*self.steps[VERT]
> + else:
> + for i,group in enumerate(self.series):
> + inner_step = self.steps[HORZ]/len(group)
> + y0 = self.borders[VERT]
> + x0 = self.borders[HORZ] + i*self.steps[HORZ] + (i+1)*self.space
> + for number,data in enumerate(group):
> + if self.series_colors[number][4] == 'linear':
> + linear = cairo.LinearGradient( x0, data.content*self.steps[VERT]/2, x0 + inner_step, data.content*self.steps[VERT]/2 )
> + color = self.series_colors[number]
> + linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
> + linear.add_color_stop_rgba(1.0, *color[:4])
> + self.context.set_source(linear)
> + elif self.series_colors[number][4] == 'solid':
> + self.context.set_source_rgba(*self.series_colors[number][:4])
> + if self.rounded_corners and data.content != 0:
> + BarPlot.draw_round_rectangle(self, x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top)
> + self.context.fill()
> + elif self.three_dimension:
> + self.draw_3d_rectangle_front(x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top, 5)
> + self.context.fill()
> + self.draw_3d_rectangle_side(x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top, 5)
> + self.context.fill()
> + self.draw_3d_rectangle_top(x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top, 5)
> + self.context.fill()
> + else:
> + self.context.rectangle(x0, self.plot_top - data.content*self.steps[VERT], inner_step, data.content*self.steps[VERT])
> + self.context.fill()
> +
> + x0 += inner_step
> +
> +class StreamChart(VerticalBarPlot):
> + def __init__(self,
> + surface = None,
> + data = None,
> + width = 640,
> + height = 480,
> + background = "white light_gray",
> + border = 0,
> + grid = False,
> + series_legend = None,
> + x_labels = None,
> + x_bounds = None,
> + y_bounds = None,
> + series_colors = None):
> +
> + VerticalBarPlot.__init__(self, surface, data, width, height, background, border,
> + False, grid, False, True, False,
> + None, x_labels, None, x_bounds, y_bounds, series_colors)
> +
> + def calc_steps(self):
> + other_dir = other_direction(self.main_dir)
> + self.series_amplitude = self.bounds[self.main_dir][1] - self.bounds[self.main_dir][0]
> + if self.series_amplitude:
> + self.steps[self.main_dir] = float(self.plot_dimensions[self.main_dir])/self.series_amplitude
> + else:
> + self.steps[self.main_dir] = 0.00
> + series_length = len(self.data)
> + self.steps[other_dir] = float(self.plot_dimensions[other_dir])/series_length
> +
> + def render_legend(self):
> + pass
> +
> + def ground(self, index):
> + sum_values = sum(self.data[index])
> + return -0.5*sum_values
> +
> + def calc_angles(self):
> + middle = self.plot_top - self.plot_dimensions[VERT]/2.0
> + self.angles = [tuple([0.0 for x in range(len(self.data)+1)])]
> + for x_index in range(1, len(self.data)-1):
> + t = []
> + x0 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ]
> + x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ]
> + y0 = middle - self.ground(x_index-1)*self.steps[VERT]
> + y2 = middle - self.ground(x_index+1)*self.steps[VERT]
> + t.append(math.atan(float(y0-y2)/(x0-x2)))
> + for data_index in range(len(self.data[x_index])):
> + x0 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ]
> + x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ]
> + y0 = middle - self.ground(x_index-1)*self.steps[VERT] - self.data[x_index-1][data_index]*self.steps[VERT]
> + y2 = middle - self.ground(x_index+1)*self.steps[VERT] - self.data[x_index+1][data_index]*self.steps[VERT]
> +
> + for i in range(0,data_index):
> + y0 -= self.data[x_index-1][i]*self.steps[VERT]
> + y2 -= self.data[x_index+1][i]*self.steps[VERT]
> +
> + if data_index == len(self.data[0])-1 and False:
> + self.context.set_source_rgba(0.0,0.0,0.0,0.3)
> + self.context.move_to(x0,y0)
> + self.context.line_to(x2,y2)
> + self.context.stroke()
> + self.context.arc(x0,y0,2,0,2*math.pi)
> + self.context.fill()
> + t.append(math.atan(float(y0-y2)/(x0-x2)))
> + self.angles.append(tuple(t))
> + self.angles.append(tuple([0.0 for x in range(len(self.data)+1)]))
> +
> + def render_plot(self):
> + self.calc_angles()
> + middle = self.plot_top - self.plot_dimensions[VERT]/2.0
> + p = 0.4*self.steps[HORZ]
> + for data_index in range(len(self.data[0])-1,-1,-1):
> + self.context.set_source_rgba(*self.series_colors[data_index][:4])
> +
> + #draw the upper line
> + for x_index in range(len(self.data)-1) :
> + x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ]
> + y1 = middle - self.ground(x_index)*self.steps[VERT] - self.data[x_index][data_index]*self.steps[VERT]
> + x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ]
> + y2 = middle - self.ground(x_index + 1)*self.steps[VERT] - self.data[x_index + 1][data_index]*self.steps[VERT]
> +
> + for i in range(0,data_index):
> + y1 -= self.data[x_index][i]*self.steps[VERT]
> + y2 -= self.data[x_index+1][i]*self.steps[VERT]
> +
> + if x_index == 0:
> + self.context.move_to(x1,y1)
> +
> + ang1 = self.angles[x_index][data_index+1]
> + ang2 = self.angles[x_index+1][data_index+1] + math.pi
> + self.context.curve_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1),
> + x2+p*math.cos(ang2),y2+p*math.sin(ang2),
> + x2,y2)
> +
> + for x_index in range(len(self.data)-1,0,-1) :
> + x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ]
> + y1 = middle - self.ground(x_index)*self.steps[VERT]
> + x2 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ]
> + y2 = middle - self.ground(x_index - 1)*self.steps[VERT]
> +
> + for i in range(0,data_index):
> + y1 -= self.data[x_index][i]*self.steps[VERT]
> + y2 -= self.data[x_index-1][i]*self.steps[VERT]
> +
> + if x_index == len(self.data)-1:
> + self.context.line_to(x1,y1+2)
> +
> + #revert angles by pi degrees to take the turn back
> + ang1 = self.angles[x_index][data_index] + math.pi
> + ang2 = self.angles[x_index-1][data_index]
> + self.context.curve_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1),
> + x2+p*math.cos(ang2),y2+p*math.sin(ang2),
> + x2,y2+2)
> +
> + self.context.close_path()
> + self.context.fill()
> +
> + if False:
> + self.context.move_to(self.borders[HORZ] + 0.5*self.steps[HORZ], middle)
> + for x_index in range(len(self.data)-1) :
> + x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ]
> + y1 = middle - self.ground(x_index)*self.steps[VERT] - self.data[x_index][data_index]*self.steps[VERT]
> + x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ]
> + y2 = middle - self.ground(x_index + 1)*self.steps[VERT] - self.data[x_index + 1][data_index]*self.steps[VERT]
> +
> + for i in range(0,data_index):
> + y1 -= self.data[x_index][i]*self.steps[VERT]
> + y2 -= self.data[x_index+1][i]*self.steps[VERT]
> +
> + ang1 = self.angles[x_index][data_index+1]
> + ang2 = self.angles[x_index+1][data_index+1] + math.pi
> + self.context.set_source_rgba(1.0,0.0,0.0)
> + self.context.arc(x1+p*math.cos(ang1),y1+p*math.sin(ang1),2,0,2*math.pi)
> + self.context.fill()
> + self.context.set_source_rgba(0.0,0.0,0.0)
> + self.context.arc(x2+p*math.cos(ang2),y2+p*math.sin(ang2),2,0,2*math.pi)
> + self.context.fill()
> + '''self.context.set_source_rgba(0.0,0.0,0.0,0.3)
> + self.context.arc(x2,y2,2,0,2*math.pi)
> + self.context.fill()'''
> + self.context.move_to(x1,y1)
> + self.context.line_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1))
> + self.context.stroke()
> + self.context.move_to(x2,y2)
> + self.context.line_to(x2+p*math.cos(ang2),y2+p*math.sin(ang2))
> + self.context.stroke()
> + if False:
> + for x_index in range(len(self.data)-1,0,-1) :
> + x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ]
> + y1 = middle - self.ground(x_index)*self.steps[VERT]
> + x2 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ]
> + y2 = middle - self.ground(x_index - 1)*self.steps[VERT]
> +
> + for i in range(0,data_index):
> + y1 -= self.data[x_index][i]*self.steps[VERT]
> + y2 -= self.data[x_index-1][i]*self.steps[VERT]
> +
> + #revert angles by pi degrees to take the turn back
> + ang1 = self.angles[x_index][data_index] + math.pi
> + ang2 = self.angles[x_index-1][data_index]
> + self.context.set_source_rgba(0.0,1.0,0.0)
> + self.context.arc(x1+p*math.cos(ang1),y1+p*math.sin(ang1),2,0,2*math.pi)
> + self.context.fill()
> + self.context.set_source_rgba(0.0,0.0,1.0)
> + self.context.arc(x2+p*math.cos(ang2),y2+p*math.sin(ang2),2,0,2*math.pi)
> + self.context.fill()
> + '''self.context.set_source_rgba(0.0,0.0,0.0,0.3)
> + self.context.arc(x2,y2,2,0,2*math.pi)
> + self.context.fill()'''
> + self.context.move_to(x1,y1)
> + self.context.line_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1))
> + self.context.stroke()
> + self.context.move_to(x2,y2)
> + self.context.line_to(x2+p*math.cos(ang2),y2+p*math.sin(ang2))
> + self.context.stroke()
> + #break
> +
> + #self.context.arc(self.dimensions[HORZ]/2, self.dimensions[VERT]/2,50,0,3*math.pi/2)
> + #self.context.fill()
> +
> +
> +class PiePlot(Plot):
> + #TODO: Check the old cairoplot, graphs aren't matching
> + def __init__ (self,
> + surface = None,
> + data = None,
> + width = 640,
> + height = 480,
> + background = "white light_gray",
> + gradient = False,
> + shadow = False,
> + colors = None):
> +
> + Plot.__init__( self, surface, data, width, height, background, series_colors = colors )
> + self.center = (self.dimensions[HORZ]/2, self.dimensions[VERT]/2)
> + self.total = sum( self.series.to_list() )
> + self.radius = min(self.dimensions[HORZ]/3,self.dimensions[VERT]/3)
> + self.gradient = gradient
> + self.shadow = shadow
> +
> + def sort_function(x,y):
> + return x.content - y.content
> +
> + def load_series(self, data, x_labels=None, y_labels=None, series_colors=None):
> + Plot.load_series(self, data, x_labels, y_labels, series_colors)
> + # Already done inside series
> + #self.data = sorted(self.data)
> +
> + def draw_piece(self, angle, next_angle):
> + self.context.move_to(self.center[0],self.center[1])
> + self.context.line_to(self.center[0] + self.radius*math.cos(angle), self.center[1] + self.radius*math.sin(angle))
> + self.context.arc(self.center[0], self.center[1], self.radius, angle, next_angle)
> + self.context.line_to(self.center[0], self.center[1])
> + self.context.close_path()
> +
> + def render(self):
> + self.render_background()
> + self.render_bounding_box()
> + if self.shadow:
> + self.render_shadow()
> + self.render_plot()
> + self.render_series_labels()
> +
> + def render_shadow(self):
> + horizontal_shift = 3
> + vertical_shift = 3
> + self.context.set_source_rgba(0, 0, 0, 0.5)
> + self.context.arc(self.center[0] + horizontal_shift, self.center[1] + vertical_shift, self.radius, 0, 2*math.pi)
> + self.context.fill()
> +
> + def render_series_labels(self):
> + angle = 0
> + next_angle = 0
> + x0,y0 = self.center
> + cr = self.context
> + for number,key in enumerate(self.series_labels):
> + # self.data[number] should be just a number
> + data = sum(self.series[number].to_list())
> +
> + next_angle = angle + 2.0*math.pi*data/self.total
> + cr.set_source_rgba(*self.series_colors[number][:4])
> + w = cr.text_extents(key)[2]
> + if (angle + next_angle)/2 < math.pi/2 or (angle + next_angle)/2 > 3*math.pi/2:
> + cr.move_to(x0 + (self.radius+10)*math.cos((angle+next_angle)/2), y0 + (self.radius+10)*math.sin((angle+next_angle)/2) )
> + else:
> + cr.move_to(x0 + (self.radius+10)*math.cos((angle+next_angle)/2) - w, y0 + (self.radius+10)*math.sin((angle+next_angle)/2) )
> + cr.show_text(key)
> + angle = next_angle
> +
> + def render_plot(self):
> + angle = 0
> + next_angle = 0
> + x0,y0 = self.center
> + cr = self.context
> + for number,group in enumerate(self.series):
> + # Group should be just a number
> + data = sum(group.to_list())
> + next_angle = angle + 2.0*math.pi*data/self.total
> + if self.gradient or self.series_colors[number][4] in ('linear','radial'):
> + gradient_color = cairo.RadialGradient(self.center[0], self.center[1], 0, self.center[0], self.center[1], self.radius)
> + gradient_color.add_color_stop_rgba(0.3, *self.series_colors[number][:4])
> + gradient_color.add_color_stop_rgba(1, self.series_colors[number][0]*0.7,
> + self.series_colors[number][1]*0.7,
> + self.series_colors[number][2]*0.7,
> + self.series_colors[number][3])
> + cr.set_source(gradient_color)
> + else:
> + cr.set_source_rgba(*self.series_colors[number][:4])
> +
> + self.draw_piece(angle, next_angle)
> + cr.fill()
> +
> + cr.set_source_rgba(1.0, 1.0, 1.0)
> + self.draw_piece(angle, next_angle)
> + cr.stroke()
> +
> + angle = next_angle
> +
> +class DonutPlot(PiePlot):
> + def __init__ (self,
> + surface = None,
> + data = None,
> + width = 640,
> + height = 480,
> + background = "white light_gray",
> + gradient = False,
> + shadow = False,
> + colors = None,
> + inner_radius=-1):
> +
> + Plot.__init__( self, surface, data, width, height, background, series_colors = colors )
> +
> + self.center = ( self.dimensions[HORZ]/2, self.dimensions[VERT]/2 )
> + self.total = sum( self.series.to_list() )
> + self.radius = min( self.dimensions[HORZ]/3,self.dimensions[VERT]/3 )
> + self.inner_radius = inner_radius*self.radius
> +
> + if inner_radius == -1:
> + self.inner_radius = self.radius/3
> +
> + self.gradient = gradient
> + self.shadow = shadow
> +
> + def draw_piece(self, angle, next_angle):
> + self.context.move_to(self.center[0] + (self.inner_radius)*math.cos(angle), self.center[1] + (self.inner_radius)*math.sin(angle))
> + self.context.line_to(self.center[0] + self.radius*math.cos(angle), self.center[1] + self.radius*math.sin(angle))
> + self.context.arc(self.center[0], self.center[1], self.radius, angle, next_angle)
> + self.context.line_to(self.center[0] + (self.inner_radius)*math.cos(next_angle), self.center[1] + (self.inner_radius)*math.sin(next_angle))
> + self.context.arc_negative(self.center[0], self.center[1], self.inner_radius, next_angle, angle)
> + self.context.close_path()
> +
> + def render_shadow(self):
> + horizontal_shift = 3
> + vertical_shift = 3
> + self.context.set_source_rgba(0, 0, 0, 0.5)
> + self.context.arc(self.center[0] + horizontal_shift, self.center[1] + vertical_shift, self.inner_radius, 0, 2*math.pi)
> + self.context.arc_negative(self.center[0] + horizontal_shift, self.center[1] + vertical_shift, self.radius, 0, -2*math.pi)
> + self.context.fill()
> +
> +class GanttChart (Plot) :
> + def __init__(self,
> + surface = None,
> + data = None,
> + width = 640,
> + height = 480,
> + x_labels = None,
> + y_labels = None,
> + colors = None):
> + self.bounds = {}
> + self.max_value = {}
> + Plot.__init__(self, surface, data, width, height, x_labels = x_labels, y_labels = y_labels, series_colors = colors)
> +
> + def load_series(self, data, x_labels=None, y_labels=None, series_colors=None):
> + Plot.load_series(self, data, x_labels, y_labels, series_colors)
> + self.calc_boundaries()
> +
> + def calc_boundaries(self):
> + self.bounds[HORZ] = (0,len(self.series))
> + end_pos = max(self.series.to_list())
> +
> + #for group in self.series:
> + # if hasattr(item, "__delitem__"):
> + # for sub_item in item:
> + # end_pos = max(sub_item)
> + # else:
> + # end_pos = max(item)
> + self.bounds[VERT] = (0,end_pos)
> +
> + def calc_extents(self, direction):
> + self.max_value[direction] = 0
> + if self.labels[direction]:
> + self.max_value[direction] = max(self.context.text_extents(item)[2] for item in self.labels[direction])
> + else:
> + self.max_value[direction] = self.context.text_extents( str(self.bounds[direction][1] + 1) )[2]
> +
> + def calc_horz_extents(self):
> + self.calc_extents(HORZ)
> + self.borders[HORZ] = 100 + self.max_value[HORZ]
> +
> + def calc_vert_extents(self):
> + self.calc_extents(VERT)
> + self.borders[VERT] = self.dimensions[VERT]/(self.bounds[HORZ][1] + 1)
> +
> + def calc_steps(self):
> + self.horizontal_step = (self.dimensions[HORZ] - self.borders[HORZ])/(len(self.labels[VERT]))
> + self.vertical_step = self.borders[VERT]
> +
> + def render(self):
> + self.calc_horz_extents()
> + self.calc_vert_extents()
> + self.calc_steps()
> + self.render_background()
> +
> + self.render_labels()
> + self.render_grid()
> + self.render_plot()
> +
> + def render_background(self):
> + cr = self.context
> + cr.set_source_rgba(255,255,255)
> + cr.rectangle(0,0,self.dimensions[HORZ], self.dimensions[VERT])
> + cr.fill()
> + for number,group in enumerate(self.series):
> + linear = cairo.LinearGradient(self.dimensions[HORZ]/2, self.borders[VERT] + number*self.vertical_step,
> + self.dimensions[HORZ]/2, self.borders[VERT] + (number+1)*self.vertical_step)
> + linear.add_color_stop_rgba(0,1.0,1.0,1.0,1.0)
> + linear.add_color_stop_rgba(1.0,0.9,0.9,0.9,1.0)
> + cr.set_source(linear)
> + cr.rectangle(0,self.borders[VERT] + number*self.vertical_step,self.dimensions[HORZ],self.vertical_step)
> + cr.fill()
> +
> + def render_grid(self):
> + cr = self.context
> + cr.set_source_rgba(0.7, 0.7, 0.7)
> + cr.set_dash((1,0,0,0,0,0,1))
> + cr.set_line_width(0.5)
> + for number,label in enumerate(self.labels[VERT]):
> + h = cr.text_extents(label)[3]
> + cr.move_to(self.borders[HORZ] + number*self.horizontal_step, self.vertical_step/2 + h)
> + cr.line_to(self.borders[HORZ] + number*self.horizontal_step, self.dimensions[VERT])
> + cr.stroke()
> +
> + def render_labels(self):
> + self.context.set_font_size(0.02 * self.dimensions[HORZ])
> +
> + self.render_horz_labels()
> + self.render_vert_labels()
> +
> + def render_horz_labels(self):
> + cr = self.context
> + labels = self.labels[HORZ]
> + if not labels:
> + labels = [str(i) for i in range(1, self.bounds[HORZ][1] + 1) ]
> + for number,label in enumerate(labels):
> + if label != None:
> + cr.set_source_rgba(0.5, 0.5, 0.5)
> + w,h = cr.text_extents(label)[2], cr.text_extents(label)[3]
> + cr.move_to(40,self.borders[VERT] + number*self.vertical_step + self.vertical_step/2 + h/2)
> + cr.show_text(label)
> +
> + def render_vert_labels(self):
> + cr = self.context
> + labels = self.labels[VERT]
> + if not labels:
> + labels = [str(i) for i in range(1, self.bounds[VERT][1] + 1) ]
> + for number,label in enumerate(labels):
> + w,h = cr.text_extents(label)[2], cr.text_extents(label)[3]
> + cr.move_to(self.borders[HORZ] + number*self.horizontal_step - w/2, self.vertical_step/2)
> + cr.show_text(label)
> +
> + def render_rectangle(self, x0, y0, x1, y1, color):
> + self.draw_shadow(x0, y0, x1, y1)
> + self.draw_rectangle(x0, y0, x1, y1, color)
> +
> + def draw_rectangular_shadow(self, gradient, x0, y0, w, h):
> + self.context.set_source(gradient)
> + self.context.rectangle(x0,y0,w,h)
> + self.context.fill()
> +
> + def draw_circular_shadow(self, x, y, radius, ang_start, ang_end, mult, shadow):
> + gradient = cairo.RadialGradient(x, y, 0, x, y, 2*radius)
> + gradient.add_color_stop_rgba(0, 0, 0, 0, shadow)
> + gradient.add_color_stop_rgba(1, 0, 0, 0, 0)
> + self.context.set_source(gradient)
> + self.context.move_to(x,y)
> + self.context.line_to(x + mult[0]*radius,y + mult[1]*radius)
> + self.context.arc(x, y, 8, ang_start, ang_end)
> + self.context.line_to(x,y)
> + self.context.close_path()
> + self.context.fill()
> +
> + def draw_rectangle(self, x0, y0, x1, y1, color):
> + cr = self.context
> + middle = (x0+x1)/2
> + linear = cairo.LinearGradient(middle,y0,middle,y1)
> + linear.add_color_stop_rgba(0,3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
> + linear.add_color_stop_rgba(1,*color[:4])
> + cr.set_source(linear)
> +
> + cr.arc(x0+5, y0+5, 5, 0, 2*math.pi)
> + cr.arc(x1-5, y0+5, 5, 0, 2*math.pi)
> + cr.arc(x0+5, y1-5, 5, 0, 2*math.pi)
> + cr.arc(x1-5, y1-5, 5, 0, 2*math.pi)
> + cr.rectangle(x0+5,y0,x1-x0-10,y1-y0)
> + cr.rectangle(x0,y0+5,x1-x0,y1-y0-10)
> + cr.fill()
> +
> + def draw_shadow(self, x0, y0, x1, y1):
> + shadow = 0.4
> + h_mid = (x0+x1)/2
> + v_mid = (y0+y1)/2
> + h_linear_1 = cairo.LinearGradient(h_mid,y0-4,h_mid,y0+4)
> + h_linear_2 = cairo.LinearGradient(h_mid,y1-4,h_mid,y1+4)
> + v_linear_1 = cairo.LinearGradient(x0-4,v_mid,x0+4,v_mid)
> + v_linear_2 = cairo.LinearGradient(x1-4,v_mid,x1+4,v_mid)
> +
> + h_linear_1.add_color_stop_rgba( 0, 0, 0, 0, 0)
> + h_linear_1.add_color_stop_rgba( 1, 0, 0, 0, shadow)
> + h_linear_2.add_color_stop_rgba( 0, 0, 0, 0, shadow)
> + h_linear_2.add_color_stop_rgba( 1, 0, 0, 0, 0)
> + v_linear_1.add_color_stop_rgba( 0, 0, 0, 0, 0)
> + v_linear_1.add_color_stop_rgba( 1, 0, 0, 0, shadow)
> + v_linear_2.add_color_stop_rgba( 0, 0, 0, 0, shadow)
> + v_linear_2.add_color_stop_rgba( 1, 0, 0, 0, 0)
> +
> + self.draw_rectangular_shadow(h_linear_1,x0+4,y0-4,x1-x0-8,8)
> + self.draw_rectangular_shadow(h_linear_2,x0+4,y1-4,x1-x0-8,8)
> + self.draw_rectangular_shadow(v_linear_1,x0-4,y0+4,8,y1-y0-8)
> + self.draw_rectangular_shadow(v_linear_2,x1-4,y0+4,8,y1-y0-8)
> +
> + self.draw_circular_shadow(x0+4, y0+4, 4, math.pi, 3*math.pi/2, (-1,0), shadow)
> + self.draw_circular_shadow(x1-4, y0+4, 4, 3*math.pi/2, 2*math.pi, (0,-1), shadow)
> + self.draw_circular_shadow(x0+4, y1-4, 4, math.pi/2, math.pi, (0,1), shadow)
> + self.draw_circular_shadow(x1-4, y1-4, 4, 0, math.pi/2, (1,0), shadow)
> +
> + def render_plot(self):
> + for index,group in enumerate(self.series):
> + for data in group:
> + self.render_rectangle(self.borders[HORZ] + data.content[0]*self.horizontal_step,
> + self.borders[VERT] + index*self.vertical_step + self.vertical_step/4.0,
> + self.borders[HORZ] + data.content[1]*self.horizontal_step,
> + self.borders[VERT] + index*self.vertical_step + 3.0*self.vertical_step/4.0,
> + self.series_colors[index])
> +
> +# Function definition
> +
> +def scatter_plot(name,
> + data = None,
> + errorx = None,
> + errory = None,
> + width = 640,
> + height = 480,
> + background = "white light_gray",
> + border = 0,
> + axis = False,
> + dash = False,
> + discrete = False,
> + dots = False,
> + grid = False,
> + series_legend = False,
> + x_labels = None,
> + y_labels = None,
> + x_bounds = None,
> + y_bounds = None,
> + z_bounds = None,
> + x_title = None,
> + y_title = None,
> + series_colors = None,
> + circle_colors = None):
> +
> + '''
> + - Function to plot scatter data.
> +
> + - Parameters
> +
> + data - The values to be ploted might be passed in a two basic:
> + list of points: [(0,0), (0,1), (0,2)] or [(0,0,1), (0,1,4), (0,2,1)]
> + lists of coordinates: [ [0,0,0] , [0,1,2] ] or [ [0,0,0] , [0,1,2] , [1,4,1] ]
> + Notice that these kinds of that can be grouped in order to form more complex data
> + using lists of lists or dictionaries;
> + series_colors - Define color values for each of the series
> + circle_colors - Define a lower and an upper bound for the circle colors for variable radius
> + (3 dimensions) series
> + '''
> +
> + plot = ScatterPlot( name, data, errorx, errory, width, height, background, border,
> + axis, dash, discrete, dots, grid, series_legend, x_labels, y_labels,
> + x_bounds, y_bounds, z_bounds, x_title, y_title, series_colors, circle_colors )
> + plot.render()
> + plot.commit()
> +
> +def dot_line_plot(name,
> + data,
> + width,
> + height,
> + background = "white light_gray",
> + border = 0,
> + axis = False,
> + dash = False,
> + dots = False,
> + grid = False,
> + series_legend = False,
> + x_labels = None,
> + y_labels = None,
> + x_bounds = None,
> + y_bounds = None,
> + x_title = None,
> + y_title = None,
> + series_colors = None):
> + '''
> + - Function to plot graphics using dots and lines.
> +
> + dot_line_plot (name, data, width, height, background = "white light_gray", border = 0, axis = False, grid = False, x_labels = None, y_labels = None, x_bounds = None, y_bounds = None)
> +
> + - Parameters
> +
> + name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
> + data - The list, list of lists or dictionary holding the data to be plotted;
> + width, height - Dimensions of the output image;
> + background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
> + If left None, a gray to white gradient will be generated;
> + border - Distance in pixels of a square border into which the graphics will be drawn;
> + axis - Whether or not the axis are to be drawn;
> + dash - Boolean or a list or a dictionary of booleans indicating whether or not the associated series should be drawn in dashed mode;
> + dots - Whether or not dots should be drawn on each point;
> + grid - Whether or not the gris is to be drawn;
> + series_legend - Whether or not the legend is to be drawn;
> + x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis;
> + x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted;
> + x_title - Whether or not to plot a title over the x axis.
> + y_title - Whether or not to plot a title over the y axis.
> +
> + - Examples of use
> +
> + data = [0, 1, 3, 8, 9, 0, 10, 10, 2, 1]
> + CairoPlot.dot_line_plot('teste', data, 400, 300)
> +
> + data = { "john" : [10, 10, 10, 10, 30], "mary" : [0, 0, 3, 5, 15], "philip" : [13, 32, 11, 25, 2] }
> + x_labels = ["jan/2008", "feb/2008", "mar/2008", "apr/2008", "may/2008" ]
> + CairoPlot.dot_line_plot( 'test', data, 400, 300, axis = True, grid = True,
> + series_legend = True, x_labels = x_labels )
> + '''
> + plot = DotLinePlot( name, data, width, height, background, border,
> + axis, dash, dots, grid, series_legend, x_labels, y_labels,
> + x_bounds, y_bounds, x_title, y_title, series_colors )
> + plot.render()
> + plot.commit()
> +
> +def function_plot(name,
> + data,
> + width,
> + height,
> + background = "white light_gray",
> + border = 0,
> + axis = True,
> + dots = False,
> + discrete = False,
> + grid = False,
> + series_legend = False,
> + x_labels = None,
> + y_labels = None,
> + x_bounds = None,
> + y_bounds = None,
> + x_title = None,
> + y_title = None,
> + series_colors = None,
> + step = 1):
> +
> + '''
> + - Function to plot functions.
> +
> + function_plot(name, data, width, height, background = "white light_gray", border = 0, axis = True, grid = False, dots = False, x_labels = None, y_labels = None, x_bounds = None, y_bounds = None, step = 1, discrete = False)
> +
> + - Parameters
> +
> + name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
> + data - The list, list of lists or dictionary holding the data to be plotted;
> + width, height - Dimensions of the output image;
> + background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
> + If left None, a gray to white gradient will be generated;
> + border - Distance in pixels of a square border into which the graphics will be drawn;
> + axis - Whether or not the axis are to be drawn;
> + grid - Whether or not the gris is to be drawn;
> + dots - Whether or not dots should be shown at each point;
> + x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis;
> + x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted;
> + step - the horizontal distance from one point to the other. The smaller, the smoother the curve will be;
> + discrete - whether or not the function should be plotted in discrete format.
> +
> + - Example of use
> +
> + data = lambda x : x**2
> + CairoPlot.function_plot('function4', data, 400, 300, grid = True, x_bounds=(-10,10), step = 0.1)
> + '''
> +
> + plot = FunctionPlot( name, data, width, height, background, border,
> + axis, discrete, dots, grid, series_legend, x_labels, y_labels,
> + x_bounds, y_bounds, x_title, y_title, series_colors, step )
> + plot.render()
> + plot.commit()
> +
> +def pie_plot( name, data, width, height, background = "white light_gray", gradient = False, shadow = False, colors = None ):
> +
> + '''
> + - Function to plot pie graphics.
> +
> + pie_plot(name, data, width, height, background = "white light_gray", gradient = False, colors = None)
> +
> + - Parameters
> +
> + name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
> + data - The list, list of lists or dictionary holding the data to be plotted;
> + width, height - Dimensions of the output image;
> + background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
> + If left None, a gray to white gradient will be generated;
> + gradient - Whether or not the pie color will be painted with a gradient;
> + shadow - Whether or not there will be a shadow behind the pie;
> + colors - List of slices colors.
> +
> + - Example of use
> +
> + teste_data = {"john" : 123, "mary" : 489, "philip" : 890 , "suzy" : 235}
> + CairoPlot.pie_plot("pie_teste", teste_data, 500, 500)
> + '''
> +
> + plot = PiePlot( name, data, width, height, background, gradient, shadow, colors )
> + plot.render()
> + plot.commit()
> +
> +def donut_plot(name, data, width, height, background = "white light_gray", gradient = False, shadow = False, colors = None, inner_radius = -1):
> +
> + '''
> + - Function to plot donut graphics.
> +
> + donut_plot(name, data, width, height, background = "white light_gray", gradient = False, inner_radius = -1)
> +
> + - Parameters
> +
> + name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
> + data - The list, list of lists or dictionary holding the data to be plotted;
> + width, height - Dimensions of the output image;
> + background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
> + If left None, a gray to white gradient will be generated;
> + shadow - Whether or not there will be a shadow behind the donut;
> + gradient - Whether or not the donut color will be painted with a gradient;
> + colors - List of slices colors;
> + inner_radius - The radius of the donut's inner circle.
> +
> + - Example of use
> +
> + teste_data = {"john" : 123, "mary" : 489, "philip" : 890 , "suzy" : 235}
> + CairoPlot.donut_plot("donut_teste", teste_data, 500, 500)
> + '''
> +
> + plot = DonutPlot(name, data, width, height, background, gradient, shadow, colors, inner_radius)
> + plot.render()
> + plot.commit()
> +
> +def gantt_chart(name, pieces, width, height, x_labels, y_labels, colors):
> +
> + '''
> + - Function to generate Gantt Charts.
> +
> + gantt_chart(name, pieces, width, height, x_labels, y_labels, colors):
> +
> + - Parameters
> +
> + name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
> + pieces - A list defining the spaces to be drawn. The user must pass, for each line, the index of its start and the index of its end. If a line must have two or more spaces, they must be passed inside a list;
> + width, height - Dimensions of the output image;
> + x_labels - A list of names for each of the vertical lines;
> + y_labels - A list of names for each of the horizontal spaces;
> + colors - List containing the colors expected for each of the horizontal spaces
> +
> + - Example of use
> +
> + pieces = [ (0.5,5.5) , [(0,4),(6,8)] , (5.5,7) , (7,8)]
> + x_labels = [ 'teste01', 'teste02', 'teste03', 'teste04']
> + y_labels = [ '0001', '0002', '0003', '0004', '0005', '0006', '0007', '0008', '0009', '0010' ]
> + colors = [ (1.0, 0.0, 0.0), (1.0, 0.7, 0.0), (1.0, 1.0, 0.0), (0.0, 1.0, 0.0) ]
> + CairoPlot.gantt_chart('gantt_teste', pieces, 600, 300, x_labels, y_labels, colors)
> + '''
> +
> + plot = GanttChart(name, pieces, width, height, x_labels, y_labels, colors)
> + plot.render()
> + plot.commit()
> +
> +def vertical_bar_plot(name,
> + data,
> + width,
> + height,
> + background = "white light_gray",
> + border = 0,
> + display_values = False,
> + grid = False,
> + rounded_corners = False,
> + stack = False,
> + three_dimension = False,
> + series_labels = None,
> + x_labels = None,
> + y_labels = None,
> + x_bounds = None,
> + y_bounds = None,
> + colors = None):
> + #TODO: Fix docstring for vertical_bar_plot
> + '''
> + - Function to generate vertical Bar Plot Charts.
> +
> + bar_plot(name, data, width, height, background, border, grid, rounded_corners, three_dimension,
> + x_labels, y_labels, x_bounds, y_bounds, colors):
> +
> + - Parameters
> +
> + name - Name of the desired output file, no need to input the .svg as it will be added at runtime;
> + data - The list, list of lists or dictionary holding the data to be plotted;
> + width, height - Dimensions of the output image;
> + background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
> + If left None, a gray to white gradient will be generated;
> + border - Distance in pixels of a square border into which the graphics will be drawn;
> + grid - Whether or not the gris is to be drawn;
> + rounded_corners - Whether or not the bars should have rounded corners;
> + three_dimension - Whether or not the bars should be drawn in pseudo 3D;
> + x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis;
> + x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted;
> + colors - List containing the colors expected for each of the bars.
> +
> + - Example of use
> +
> + data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
> + CairoPlot.vertical_bar_plot ('bar2', data, 400, 300, border = 20, grid = True, rounded_corners = False)
> + '''
> +
> + plot = VerticalBarPlot(name, data, width, height, background, border,
> + display_values, grid, rounded_corners, stack, three_dimension,
> + series_labels, x_labels, y_labels, x_bounds, y_bounds, colors)
> + plot.render()
> + plot.commit()
> +
> +def horizontal_bar_plot(name,
> + data,
> + width,
> + height,
> + background = "white light_gray",
> + border = 0,
> + display_values = False,
> + grid = False,
> + rounded_corners = False,
> + stack = False,
> + three_dimension = False,
> + series_labels = None,
> + x_labels = None,
> + y_labels = None,
> + x_bounds = None,
> + y_bounds = None,
> + colors = None):
> +
> + #TODO: Fix docstring for horizontal_bar_plot
> + '''
> + - Function to generate Horizontal Bar Plot Charts.
> +
> + bar_plot(name, data, width, height, background, border, grid, rounded_corners, three_dimension,
> + x_labels, y_labels, x_bounds, y_bounds, colors):
> +
> + - Parameters
> +
> + name - Name of the desired output file, no need to input the .svg as it will be added at runtime;
> + data - The list, list of lists or dictionary holding the data to be plotted;
> + width, height - Dimensions of the output image;
> + background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
> + If left None, a gray to white gradient will be generated;
> + border - Distance in pixels of a square border into which the graphics will be drawn;
> + grid - Whether or not the gris is to be drawn;
> + rounded_corners - Whether or not the bars should have rounded corners;
> + three_dimension - Whether or not the bars should be drawn in pseudo 3D;
> + x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis;
> + x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted;
> + colors - List containing the colors expected for each of the bars.
> +
> + - Example of use
> +
> + data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
> + CairoPlot.bar_plot ('bar2', data, 400, 300, border = 20, grid = True, rounded_corners = False)
> + '''
> +
> + plot = HorizontalBarPlot(name, data, width, height, background, border,
> + display_values, grid, rounded_corners, stack, three_dimension,
> + series_labels, x_labels, y_labels, x_bounds, y_bounds, colors)
> + plot.render()
> + plot.commit()
> +
> +def stream_chart(name,
> + data,
> + width,
> + height,
> + background = "white light_gray",
> + border = 0,
> + grid = False,
> + series_legend = None,
> + x_labels = None,
> + x_bounds = None,
> + y_bounds = None,
> + colors = None):
> +
> + #TODO: Fix docstring for horizontal_bar_plot
> + plot = StreamChart(name, data, width, height, background, border,
> + grid, series_legend, x_labels, x_bounds, y_bounds, colors)
> + plot.render()
> + plot.commit()
> +
> +
> +if __name__ == "__main__":
> + import tests
> + import seriestests
> diff --git a/bindings/python/examples/python2/output_format_modules/pprint_table.py b/bindings/python/examples/python2/output_format_modules/pprint_table.py
> new file mode 100644
> index 0000000..3a63d62
> --- /dev/null
> +++ b/bindings/python/examples/python2/output_format_modules/pprint_table.py
> @@ -0,0 +1,37 @@
> +# pprint_table.py
> +#
> +# This module is used to pretty-print a table
> +# Adapted from
> +# http://ginstrom.com/scribbles/2007/09/04/pretty-printing-a-table-in-python/
> +
> +import sys
> +
> +def get_max_width(table, index):
> + """Get the maximum width of the given column index"""
> +
> + return max([len(str(row[index])) for row in table])
> +
> +
> +def pprint_table(table, nbLeft=1, out=sys.stdout):
> + """
> + Prints out a table of data, padded for alignment
> + @param table: The table to print. A list of lists.
> + Each row must have the same number of columns.
> + @param nbLeft: The number of columns aligned left
> + @param out: Output stream (file-like object)
> + """
> +
> + col_paddings = []
> +
> + for i in range(len(table[0])):
> + col_paddings.append(get_max_width(table, i))
> +
> + for row in table:
> + # left cols
> + for i in range(nbLeft):
> + print >> out, str(row[i]).ljust(col_paddings[i] + 1),
> + # rest of the cols
> + for i in range(nbLeft, len(row)):
> + col = str(row[i]).rjust(col_paddings[i] + 2)
> + print >> out, col,
> + print >> out
> diff --git a/bindings/python/examples/python2/output_format_modules/series.py b/bindings/python/examples/python2/output_format_modules/series.py
> new file mode 100644
> index 0000000..8e8b236
> --- /dev/null
> +++ b/bindings/python/examples/python2/output_format_modules/series.py
> @@ -0,0 +1,1140 @@
> +#!/usr/bin/env python
> +# -*- coding: utf-8 -*-
> +
> +# Serie.py
> +#
> +# Copyright (c) 2008 Magnun Leno da Silva
> +#
> +# Author: Magnun Leno da Silva <magnun.leno at gmail.com>
> +#
> +# This program is free software; you can redistribute it and/or
> +# modify it under the terms of the GNU Lesser General Public License
> +# as published by the Free Software Foundation; either version 2 of
> +# the License, or (at your option) any later version.
> +#
> +# This program is distributed in the hope that it will be useful,
> +# but WITHOUT ANY WARRANTY; without even the implied warranty of
> +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
> +# GNU General Public License for more details.
> +#
> +# You should have received a copy of the GNU Lesser General Public
> +# License along with this program; if not, write to the Free Software
> +# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
> +# USA
> +
> +# Contributor: Rodrigo Moreiro Araujo <alf.rodrigo at gmail.com>
> +
> +#import cairoplot
> +import doctest
> +
> +NUMTYPES = (int, float, long)
> +LISTTYPES = (list, tuple)
> +STRTYPES = (str, unicode)
> +FILLING_TYPES = ['linear', 'solid', 'gradient']
> +DEFAULT_COLOR_FILLING = 'solid'
> +#TODO: Define default color list
> +DEFAULT_COLOR_LIST = None
> +
> +class Data(object):
> + '''
> + Class that models the main data structure.
> + It can hold:
> + - a number type (int, float or long)
> + - a tuple, witch represents a point and can have 2 or 3 items (x,y,z)
> + - if a list is passed it will be converted to a tuple.
> +
> + obs: In case a tuple is passed it will convert to tuple
> + '''
> + def __init__(self, data=None, name=None, parent=None):
> + '''
> + Starts main atributes from the Data class
> + @name - Name for each point;
> + @content - The real data, can be an int, float, long or tuple, which
> + represents a point (x,y) or (x,y,z);
> + @parent - A pointer that give the data access to it's parent.
> +
> + Usage:
> + >>> d = Data(name='empty'); print d
> + empty: ()
> + >>> d = Data((1,1),'point a'); print d
> + point a: (1, 1)
> + >>> d = Data((1,2,3),'point b'); print d
> + point b: (1, 2, 3)
> + >>> d = Data([2,3],'point c'); print d
> + point c: (2, 3)
> + >>> d = Data(12, 'simple value'); print d
> + simple value: 12
> + '''
> + # Initial values
> + self.__content = None
> + self.__name = None
> +
> + # Setting passed values
> + self.parent = parent
> + self.name = name
> + self.content = data
> +
> + # Name property
> + @apply
> + def name():
> + doc = '''
> + Name is a read/write property that controls the input of name.
> + - If passed an invalid value it cleans the name with None
> +
> + Usage:
> + >>> d = Data(13); d.name = 'name_test'; print d
> + name_test: 13
> + >>> d.name = 11; print d
> + 13
> + >>> d.name = 'other_name'; print d
> + other_name: 13
> + >>> d.name = None; print d
> + 13
> + >>> d.name = 'last_name'; print d
> + last_name: 13
> + >>> d.name = ''; print d
> + 13
> + '''
> + def fget(self):
> + '''
> + returns the name as a string
> + '''
> + return self.__name
> +
> + def fset(self, name):
> + '''
> + Sets the name of the Data
> + '''
> + if type(name) in STRTYPES and len(name) > 0:
> + self.__name = name
> + else:
> + self.__name = None
> +
> +
> +
> + return property(**locals())
> +
> + # Content property
> + @apply
> + def content():
> + doc = '''
> + Content is a read/write property that validate the data passed
> + and return it.
> +
> + Usage:
> + >>> d = Data(); d.content = 13; d.content
> + 13
> + >>> d = Data(); d.content = (1,2); d.content
> + (1, 2)
> + >>> d = Data(); d.content = (1,2,3); d.content
> + (1, 2, 3)
> + >>> d = Data(); d.content = [1,2,3]; d.content
> + (1, 2, 3)
> + >>> d = Data(); d.content = [1.5,.2,3.3]; d.content
> + (1.5, 0.20000000000000001, 3.2999999999999998)
> + '''
> + def fget(self):
> + '''
> + Return the content of Data
> + '''
> + return self.__content
> +
> + def fset(self, data):
> + '''
> + Ensures that data is a valid tuple/list or a number (int, float
> + or long)
> + '''
> + # Type: None
> + if data is None:
> + self.__content = None
> + return
> +
> + # Type: Int or Float
> + elif type(data) in NUMTYPES:
> + self.__content = data
> +
> + # Type: List or Tuple
> + elif type(data) in LISTTYPES:
> + # Ensures the correct size
> + if len(data) not in (2, 3):
> + raise TypeError, "Data (as list/tuple) must have 2 or 3 items"
> + return
> +
> + # Ensures that all items in list/tuple is a number
> + isnum = lambda x : type(x) not in NUMTYPES
> +
> + if max(map(isnum, data)):
> + # An item in data isn't an int or a float
> + raise TypeError, "All content of data must be a number (int or float)"
> +
> + # Convert the tuple to list
> + if type(data) is list:
> + data = tuple(data)
> +
> + # Append a copy and sets the type
> + self.__content = data[:]
> +
> + # Unknown type!
> + else:
> + self.__content = None
> + raise TypeError, "Data must be an int, float or a tuple with two or three items"
> + return
> +
> + return property(**locals())
> +
> +
> + def clear(self):
> + '''
> + Clear the all Data (content, name and parent)
> + '''
> + self.content = None
> + self.name = None
> + self.parent = None
> +
> + def copy(self):
> + '''
> + Returns a copy of the Data structure
> + '''
> + # The copy
> + new_data = Data()
> + if self.content is not None:
> + # If content is a point
> + if type(self.content) is tuple:
> + new_data.__content = self.content[:]
> +
> + # If content is a number
> + else:
> + new_data.__content = self.content
> +
> + # If it has a name
> + if self.name is not None:
> + new_data.__name = self.name
> +
> + return new_data
> +
> + def __str__(self):
> + '''
> + Return a string representation of the Data structure
> + '''
> + if self.name is None:
> + if self.content is None:
> + return ''
> + return str(self.content)
> + else:
> + if self.content is None:
> + return self.name+": ()"
> + return self.name+": "+str(self.content)
> +
> + def __len__(self):
> + '''
> + Return the length of the Data.
> + - If it's a number return 1;
> + - If it's a list return it's length;
> + - If its None return 0.
> + '''
> + if self.content is None:
> + return 0
> + elif type(self.content) in NUMTYPES:
> + return 1
> + return len(self.content)
> +
> +
> +
> +
> +class Group(object):
> + '''
> + Class that models a group of data. Every value (int, float, long, tuple
> + or list) passed is converted to a list of Data.
> + It can receive:
> + - A single number (int, float, long);
> + - A list of numbers;
> + - A tuple of numbers;
> + - An instance of Data;
> + - A list of Data;
> +
> + Obs: If a tuple with 2 or 3 items is passed it is converted to a point.
> + If a tuple with only 1 item is passed it's converted to a number;
> + If a tuple with more than 2 items is passed it's converted to a
> + list of numbers
> + '''
> + def __init__(self, group=None, name=None, parent=None):
> + '''
> + Starts main atributes in Group instance.
> + @data_list - a list of data which forms the group;
> + @range - a range that represent the x axis of possible functions;
> + @name - name of the data group;
> + @parent - the Serie parent of this group.
> +
> + Usage:
> + >>> g = Group(13, 'simple number'); print g
> + simple number ['13']
> + >>> g = Group((1,2), 'simple point'); print g
> + simple point ['(1, 2)']
> + >>> g = Group([1,2,3,4], 'list of numbers'); print g
> + list of numbers ['1', '2', '3', '4']
> + >>> g = Group((1,2,3,4),'int in tuple'); print g
> + int in tuple ['1', '2', '3', '4']
> + >>> g = Group([(1,2),(2,3),(3,4)], 'list of points'); print g
> + list of points ['(1, 2)', '(2, 3)', '(3, 4)']
> + >>> g = Group([[1,2,3],[1,2,3]], '2D coordinate lists'); print g
> + 2D coordinated lists ['(1, 1)', '(2, 2)', '(3, 3)']
> + >>> g = Group([[1,2],[1,2],[1,2]], '3D coordinate lists'); print g
> + 3D coordinated lists ['(1, 1, 1)', '(2, 2, 2)']
> + '''
> + # Initial values
> + self.__data_list = []
> + self.__range = []
> + self.__name = None
> +
> +
> + self.parent = parent
> + self.name = name
> + self.data_list = group
> +
> + # Name property
> + @apply
> + def name():
> + doc = '''
> + Name is a read/write property that controls the input of name.
> + - If passed an invalid value it cleans the name with None
> +
> + Usage:
> + >>> g = Group(13); g.name = 'name_test'; print g
> + name_test ['13']
> + >>> g.name = 11; print g
> + ['13']
> + >>> g.name = 'other_name'; print g
> + other_name ['13']
> + >>> g.name = None; print g
> + ['13']
> + >>> g.name = 'last_name'; print g
> + last_name ['13']
> + >>> g.name = ''; print g
> + ['13']
> + '''
> + def fget(self):
> + '''
> + Returns the name as a string
> + '''
> + return self.__name
> +
> + def fset(self, name):
> + '''
> + Sets the name of the Group
> + '''
> + if type(name) in STRTYPES and len(name) > 0:
> + self.__name = name
> + else:
> + self.__name = None
> +
> + return property(**locals())
> +
> + # data_list property
> + @apply
> + def data_list():
> + doc = '''
> + The data_list is a read/write property that can be a list of
> + numbers, a list of points or a list of 2 or 3 coordinate lists. This
> + property uses mainly the self.add_data method.
> +
> + Usage:
> + >>> g = Group(); g.data_list = 13; print g
> + ['13']
> + >>> g.data_list = (1,2); print g
> + ['(1, 2)']
> + >>> g.data_list = Data((1,2),'point a'); print g
> + ['point a: (1, 2)']
> + >>> g.data_list = [1,2,3]; print g
> + ['1', '2', '3']
> + >>> g.data_list = (1,2,3,4); print g
> + ['1', '2', '3', '4']
> + >>> g.data_list = [(1,2),(2,3),(3,4)]; print g
> + ['(1, 2)', '(2, 3)', '(3, 4)']
> + >>> g.data_list = [[1,2],[1,2]]; print g
> + ['(1, 1)', '(2, 2)']
> + >>> g.data_list = [[1,2],[1,2],[1,2]]; print g
> + ['(1, 1, 1)', '(2, 2, 2)']
> + >>> g.range = (10); g.data_list = lambda x:x**2; print g
> + ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 4.0)', '(3.0, 9.0)', '(4.0, 16.0)', '(5.0, 25.0)', '(6.0, 36.0)', '(7.0, 49.0)', '(8.0, 64.0)', '(9.0, 81.0)']
> + '''
> + def fget(self):
> + '''
> + Returns the value of data_list
> + '''
> + return self.__data_list
> +
> + def fset(self, group):
> + '''
> + Ensures that group is valid.
> + '''
> + # None
> + if group is None:
> + self.__data_list = []
> +
> + # Int/float/long or Instance of Data
> + elif type(group) in NUMTYPES or isinstance(group, Data):
> + # Clean data_list
> + self.__data_list = []
> + self.add_data(group)
> +
> + # One point
> + elif type(group) is tuple and len(group) in (2,3):
> + self.__data_list = []
> + self.add_data(group)
> +
> + # list of items
> + elif type(group) in LISTTYPES and type(group[0]) is not list:
> + # Clean data_list
> + self.__data_list = []
> + for item in group:
> + # try to append and catch an exception
> + self.add_data(item)
> +
> + # function lambda
> + elif callable(group):
> + # Explicit is better than implicit
> + function = group
> + # Has range
> + if len(self.range) is not 0:
> + # Clean data_list
> + self.__data_list = []
> + # Generate values for the lambda function
> + for x in self.range:
> + #self.add_data((x,round(group(x),2)))
> + self.add_data((x,function(x)))
> +
> + # Only have range in parent
> + elif self.parent is not None and len(self.parent.range) is not 0:
> + # Copy parent range
> + self.__range = self.parent.range[:]
> + # Clean data_list
> + self.__data_list = []
> + # Generate values for the lambda function
> + for x in self.range:
> + #self.add_data((x,round(group(x),2)))
> + self.add_data((x,function(x)))
> +
> + # Don't have range anywhere
> + else:
> + # x_data don't exist
> + raise Exception, "Data argument is valid but to use function type please set x_range first"
> +
> + # Coordinate Lists
> + elif type(group) in LISTTYPES and type(group[0]) is list:
> + # Clean data_list
> + self.__data_list = []
> + data = []
> + if len(group) == 3:
> + data = zip(group[0], group[1], group[2])
> + elif len(group) == 2:
> + data = zip(group[0], group[1])
> + else:
> + raise TypeError, "Only one list of coordinates was received."
> +
> + for item in data:
> + self.add_data(item)
> +
> + else:
> + raise TypeError, "Group type not supported"
> +
> + return property(**locals())
> +
> + @apply
> + def range():
> + doc = '''
> + The range is a read/write property that generates a range of values
> + for the x axis of the functions. When passed a tuple it almost works
> + like the built-in range funtion:
> + - 1 item, represent the end of the range started from 0;
> + - 2 items, represents the start and the end, respectively;
> + - 3 items, the last one represents the step;
> +
> + When passed a list the range function understands as a valid range.
> +
> + Usage:
> + >>> g = Group(); g.range = 10; print g.range
> + [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]
> + >>> g = Group(); g.range = (5); print g.range
> + [0.0, 1.0, 2.0, 3.0, 4.0]
> + >>> g = Group(); g.range = (1,7); print g.range
> + [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]
> + >>> g = Group(); g.range = (0,10,2); print g.range
> + [0.0, 2.0, 4.0, 6.0, 8.0]
> + >>>
> + >>> g = Group(); g.range = [0]; print g.range
> + [0.0]
> + >>> g = Group(); g.range = [0,10,20]; print g.range
> + [0.0, 10.0, 20.0]
> + '''
> + def fget(self):
> + '''
> + Returns the range
> + '''
> + return self.__range
> +
> + def fset(self, x_range):
> + '''
> + Controls the input of a valid type and generate the range
> + '''
> + # if passed a simple number convert to tuple
> + if type(x_range) in NUMTYPES:
> + x_range = (x_range,)
> +
> + # A list, just convert to float
> + if type(x_range) is list and len(x_range) > 0:
> + # Convert all to float
> + x_range = map(float, x_range)
> + # Prevents repeated values and convert back to list
> + self.__range = list(set(x_range[:]))
> + # Sort the list to ascending order
> + self.__range.sort()
> +
> + # A tuple, must check the lengths and generate the values
> + elif type(x_range) is tuple and len(x_range) in (1,2,3):
> + # Convert all to float
> + x_range = map(float, x_range)
> +
> + # Inital values
> + start = 0.0
> + step = 1.0
> + end = 0.0
> +
> + # Only the end and it can't be less or iqual to 0
> + if len(x_range) is 1 and x_range > 0:
> + end = x_range[0]
> +
> + # The start and the end but the start must be less then the end
> + elif len(x_range) is 2 and x_range[0] < x_range[1]:
> + start = x_range[0]
> + end = x_range[1]
> +
> + # All 3, but the start must be less then the end
> + elif x_range[0] <= x_range[1]:
> + start = x_range[0]
> + end = x_range[1]
> + step = x_range[2]
> +
> + # Starts the range
> + self.__range = []
> + # Generate the range
> + # Can't use the range function because it doesn't support float values
> + while start < end:
> + self.__range.append(start)
> + start += step
> +
> + # Incorrect type
> + else:
> + raise Exception, "x_range must be a list with one or more items or a tuple with 2 or 3 items"
> +
> + return property(**locals())
> +
> + def add_data(self, data, name=None):
> + '''
> + Append a new data to the data_list.
> + - If data is an instance of Data, append it
> + - If it's an int, float, tuple or list create an instance of Data and append it
> +
> + Usage:
> + >>> g = Group()
> + >>> g.add_data(12); print g
> + ['12']
> + >>> g.add_data(7,'other'); print g
> + ['12', 'other: 7']
> + >>>
> + >>> g = Group()
> + >>> g.add_data((1,1),'a'); print g
> + ['a: (1, 1)']
> + >>> g.add_data((2,2),'b'); print g
> + ['a: (1, 1)', 'b: (2, 2)']
> + >>>
> + >>> g.add_data(Data((1,2),'c')); print g
> + ['a: (1, 1)', 'b: (2, 2)', 'c: (1, 2)']
> + '''
> + if not isinstance(data, Data):
> + # Try to convert
> + data = Data(data,name,self)
> +
> + if data.content is not None:
> + self.__data_list.append(data.copy())
> + self.__data_list[-1].parent = self
> +
> +
> + def to_list(self):
> + '''
> + Returns the group as a list of numbers (int, float or long) or a
> + list of tuples (points 2D or 3D).
> +
> + Usage:
> + >>> g = Group([1,2,3,4],'g1'); g.to_list()
> + [1, 2, 3, 4]
> + >>> g = Group([(1,2),(2,3),(3,4)],'g2'); g.to_list()
> + [(1, 2), (2, 3), (3, 4)]
> + >>> g = Group([(1,2,3),(3,4,5)],'g2'); g.to_list()
> + [(1, 2, 3), (3, 4, 5)]
> + '''
> + return [data.content for data in self]
> +
> + def copy(self):
> + '''
> + Returns a copy of this group
> + '''
> + new_group = Group()
> + new_group.__name = self.__name
> + if self.__range is not None:
> + new_group.__range = self.__range[:]
> + for data in self:
> + new_group.add_data(data.copy())
> + return new_group
> +
> + def get_names(self):
> + '''
> + Return a list with the names of all data in this group
> + '''
> + names = []
> + for data in self:
> + if data.name is None:
> + names.append('Data '+str(data.index()+1))
> + else:
> + names.append(data.name)
> + return names
> +
> +
> + def __str__ (self):
> + '''
> + Returns a string representing the Group
> + '''
> + ret = ""
> + if self.name is not None:
> + ret += self.name + " "
> + if len(self) > 0:
> + list_str = [str(item) for item in self]
> + ret += str(list_str)
> + else:
> + ret += "[]"
> + return ret
> +
> + def __getitem__(self, key):
> + '''
> + Makes a Group iterable, based in the data_list property
> + '''
> + return self.data_list[key]
> +
> + def __len__(self):
> + '''
> + Returns the length of the Group, based in the data_list property
> + '''
> + return len(self.data_list)
> +
> +
> +class Colors(object):
> + '''
> + Class that models the colors its labels (names) and its properties, RGB
> + and filling type.
> +
> + It can receive:
> + - A list where each item is a list with 3 or 4 items. The
> + first 3 items represent the RGB values and the last argument
> + defines the filling type. The list will be converted to a dict
> + and each color will receve a name based in its position in the
> + list.
> + - A dictionary where each key will be the color name and its item
> + can be a list with 3 or 4 items. The first 3 items represent
> + the RGB colors and the last argument defines the filling type.
> + '''
> + def __init__(self, color_list=None):
> + '''
> + Start the color_list property
> + @ color_list - the list or dict contaning the colors properties.
> + '''
> + self.__color_list = None
> +
> + self.color_list = color_list
> +
> + @apply
> + def color_list():
> + doc = '''
> + >>> c = Colors([[1,1,1],[2,2,2,'linear'],[3,3,3,'gradient']])
> + >>> print c.color_list
> + {'Color 2': [2, 2, 2, 'linear'], 'Color 3': [3, 3, 3, 'gradient'], 'Color 1': [1, 1, 1, 'solid']}
> + >>> c.color_list = [[1,1,1],(2,2,2,'solid'),(3,3,3,'linear')]
> + >>> print c.color_list
> + {'Color 2': [2, 2, 2, 'solid'], 'Color 3': [3, 3, 3, 'linear'], 'Color 1': [1, 1, 1, 'solid']}
> + >>> c.color_list = {'a':[1,1,1],'b':(2,2,2,'solid'),'c':(3,3,3,'linear'), 'd':(4,4,4)}
> + >>> print c.color_list
> + {'a': [1, 1, 1, 'solid'], 'c': [3, 3, 3, 'linear'], 'b': [2, 2, 2, 'solid'], 'd': [4, 4, 4, 'solid']}
> + '''
> + def fget(self):
> + '''
> + Return the color list
> + '''
> + return self.__color_list
> +
> + def fset(self, color_list):
> + '''
> + Format the color list to a dictionary
> + '''
> + if color_list is None:
> + self.__color_list = None
> + return
> +
> + if type(color_list) in LISTTYPES and type(color_list[0]) in LISTTYPES:
> + old_color_list = color_list[:]
> + color_list = {}
> + for index, color in enumerate(old_color_list):
> + if len(color) is 3 and max(map(type, color)) in NUMTYPES:
> + color_list['Color '+str(index+1)] = list(color)+[DEFAULT_COLOR_FILLING]
> + elif len(color) is 4 and max(map(type, color[:-1])) in NUMTYPES and color[-1] in FILLING_TYPES:
> + color_list['Color '+str(index+1)] = list(color)
> + else:
> + raise TypeError, "Unsuported color format"
> + elif type(color_list) is not dict:
> + raise TypeError, "Unsuported color format"
> +
> + for name, color in color_list.items():
> + if len(color) is 3:
> + if max(map(type, color)) in NUMTYPES:
> + color_list[name] = list(color)+[DEFAULT_COLOR_FILLING]
> + else:
> + raise TypeError, "Unsuported color format"
> + elif len(color) is 4:
> + if max(map(type, color[:-1])) in NUMTYPES and color[-1] in FILLING_TYPES:
> + color_list[name] = list(color)
> + else:
> + raise TypeError, "Unsuported color format"
> + self.__color_list = color_list.copy()
> +
> + return property(**locals())
> +
> +
> +class Series(object):
> + '''
> + Class that models a Series (group of groups). Every value (int, float,
> + long, tuple or list) passed is converted to a list of Group or Data.
> + It can receive:
> + - a single number or point, will be converted to a Group of one Data;
> + - a list of numbers, will be converted to a group of numbers;
> + - a list of tuples, will converted to a single Group of points;
> + - a list of lists of numbers, each 'sublist' will be converted to a
> + group of numbers;
> + - a list of lists of tuples, each 'sublist' will be converted to a
> + group of points;
> + - a list of lists of lists, the content of the 'sublist' will be
> + processed as coordinated lists and the result will be converted to
> + a group of points;
> + - a Dictionary where each item can be the same of the list: number,
> + point, list of numbers, list of points or list of lists (coordinated
> + lists);
> + - an instance of Data;
> + - an instance of group.
> + '''
> + def __init__(self, series=None, name=None, property=[], colors=None):
> + '''
> + Starts main atributes in Group instance.
> + @series - a list, dict of data of which the series is composed;
> + @name - name of the series;
> + @property - a list/dict of properties to be used in the plots of
> + this Series
> +
> + Usage:
> + >>> print Series([1,2,3,4])
> + ["Group 1 ['1', '2', '3', '4']"]
> + >>> print Series([[1,2,3],[4,5,6]])
> + ["Group 1 ['1', '2', '3']", "Group 2 ['4', '5', '6']"]
> + >>> print Series((1,2))
> + ["Group 1 ['(1, 2)']"]
> + >>> print Series([(1,2),(2,3)])
> + ["Group 1 ['(1, 2)', '(2, 3)']"]
> + >>> print Series([[(1,2),(2,3)],[(4,5),(5,6)]])
> + ["Group 1 ['(1, 2)', '(2, 3)']", "Group 2 ['(4, 5)', '(5, 6)']"]
> + >>> print Series([[[1,2,3],[1,2,3],[1,2,3]]])
> + ["Group 1 ['(1, 1, 1)', '(2, 2, 2)', '(3, 3, 3)']"]
> + >>> print Series({'g1':[1,2,3], 'g2':[4,5,6]})
> + ["g1 ['1', '2', '3']", "g2 ['4', '5', '6']"]
> + >>> print Series({'g1':[(1,2),(2,3)], 'g2':[(4,5),(5,6)]})
> + ["g1 ['(1, 2)', '(2, 3)']", "g2 ['(4, 5)', '(5, 6)']"]
> + >>> print Series({'g1':[[1,2],[1,2]], 'g2':[[4,5],[4,5]]})
> + ["g1 ['(1, 1)', '(2, 2)']", "g2 ['(4, 4)', '(5, 5)']"]
> + >>> print Series(Data(1,'d1'))
> + ["Group 1 ['d1: 1']"]
> + >>> print Series(Group([(1,2),(2,3)],'g1'))
> + ["g1 ['(1, 2)', '(2, 3)']"]
> + '''
> + # Intial values
> + self.__group_list = []
> + self.__name = None
> + self.__range = None
> +
> + # TODO: Implement colors with filling
> + self.__colors = None
> +
> + self.name = name
> + self.group_list = series
> + self.colors = colors
> +
> + # Name property
> + @apply
> + def name():
> + doc = '''
> + Name is a read/write property that controls the input of name.
> + - If passed an invalid value it cleans the name with None
> +
> + Usage:
> + >>> s = Series(13); s.name = 'name_test'; print s
> + name_test ["Group 1 ['13']"]
> + >>> s.name = 11; print s
> + ["Group 1 ['13']"]
> + >>> s.name = 'other_name'; print s
> + other_name ["Group 1 ['13']"]
> + >>> s.name = None; print s
> + ["Group 1 ['13']"]
> + >>> s.name = 'last_name'; print s
> + last_name ["Group 1 ['13']"]
> + >>> s.name = ''; print s
> + ["Group 1 ['13']"]
> + '''
> + def fget(self):
> + '''
> + Returns the name as a string
> + '''
> + return self.__name
> +
> + def fset(self, name):
> + '''
> + Sets the name of the Group
> + '''
> + if type(name) in STRTYPES and len(name) > 0:
> + self.__name = name
> + else:
> + self.__name = None
> +
> + return property(**locals())
> +
> +
> +
> + # Colors property
> + @apply
> + def colors():
> + doc = '''
> + >>> s = Series()
> + >>> s.colors = [[1,1,1],[2,2,2,'linear'],[3,3,3,'gradient']]
> + >>> print s.colors
> + {'Color 2': [2, 2, 2, 'linear'], 'Color 3': [3, 3, 3, 'gradient'], 'Color 1': [1, 1, 1, 'solid']}
> + >>> s.colors = [[1,1,1],(2,2,2,'solid'),(3,3,3,'linear')]
> + >>> print s.colors
> + {'Color 2': [2, 2, 2, 'solid'], 'Color 3': [3, 3, 3, 'linear'], 'Color 1': [1, 1, 1, 'solid']}
> + >>> s.colors = {'a':[1,1,1],'b':(2,2,2,'solid'),'c':(3,3,3,'linear'), 'd':(4,4,4)}
> + >>> print s.colors
> + {'a': [1, 1, 1, 'solid'], 'c': [3, 3, 3, 'linear'], 'b': [2, 2, 2, 'solid'], 'd': [4, 4, 4, 'solid']}
> + '''
> + def fget(self):
> + '''
> + Return the color list
> + '''
> + return self.__colors.color_list
> +
> + def fset(self, colors):
> + '''
> + Format the color list to a dictionary
> + '''
> + self.__colors = Colors(colors)
> +
> + return property(**locals())
> +
> + @apply
> + def range():
> + doc = '''
> + The range is a read/write property that generates a range of values
> + for the x axis of the functions. When passed a tuple it almost works
> + like the built-in range funtion:
> + - 1 item, represent the end of the range started from 0;
> + - 2 items, represents the start and the end, respectively;
> + - 3 items, the last one represents the step;
> +
> + When passed a list the range function understands as a valid range.
> +
> + Usage:
> + >>> s = Series(); s.range = 10; print s.range
> + [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0]
> + >>> s = Series(); s.range = (5); print s.range
> + [0.0, 1.0, 2.0, 3.0, 4.0, 5.0]
> + >>> s = Series(); s.range = (1,7); print s.range
> + [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0]
> + >>> s = Series(); s.range = (0,10,2); print s.range
> + [0.0, 2.0, 4.0, 6.0, 8.0, 10.0]
> + >>>
> + >>> s = Series(); s.range = [0]; print s.range
> + [0.0]
> + >>> s = Series(); s.range = [0,10,20]; print s.range
> + [0.0, 10.0, 20.0]
> + '''
> + def fget(self):
> + '''
> + Returns the range
> + '''
> + return self.__range
> +
> + def fset(self, x_range):
> + '''
> + Controls the input of a valid type and generate the range
> + '''
> + # if passed a simple number convert to tuple
> + if type(x_range) in NUMTYPES:
> + x_range = (x_range,)
> +
> + # A list, just convert to float
> + if type(x_range) is list and len(x_range) > 0:
> + # Convert all to float
> + x_range = map(float, x_range)
> + # Prevents repeated values and convert back to list
> + self.__range = list(set(x_range[:]))
> + # Sort the list to ascending order
> + self.__range.sort()
> +
> + # A tuple, must check the lengths and generate the values
> + elif type(x_range) is tuple and len(x_range) in (1,2,3):
> + # Convert all to float
> + x_range = map(float, x_range)
> +
> + # Inital values
> + start = 0.0
> + step = 1.0
> + end = 0.0
> +
> + # Only the end and it can't be less or iqual to 0
> + if len(x_range) is 1 and x_range > 0:
> + end = x_range[0]
> +
> + # The start and the end but the start must be lesser then the end
> + elif len(x_range) is 2 and x_range[0] < x_range[1]:
> + start = x_range[0]
> + end = x_range[1]
> +
> + # All 3, but the start must be lesser then the end
> + elif x_range[0] < x_range[1]:
> + start = x_range[0]
> + end = x_range[1]
> + step = x_range[2]
> +
> + # Starts the range
> + self.__range = []
> + # Generate the range
> + # Cnat use the range function becouse it don't suport float values
> + while start <= end:
> + self.__range.append(start)
> + start += step
> +
> + # Incorrect type
> + else:
> + raise Exception, "x_range must be a list with one or more item or a tuple with 2 or 3 items"
> +
> + return property(**locals())
> +
> + @apply
> + def group_list():
> + doc = '''
> + The group_list is a read/write property used to pre-process the list
> + of Groups.
> + It can be:
> + - a single number, point or lambda, will be converted to a single
> + Group of one Data;
> + - a list of numbers, will be converted to a group of numbers;
> + - a list of tuples, will converted to a single Group of points;
> + - a list of lists of numbers, each 'sublist' will be converted to
> + a group of numbers;
> + - a list of lists of tuples, each 'sublist' will be converted to a
> + group of points;
> + - a list of lists of lists, the content of the 'sublist' will be
> + processed as coordinated lists and the result will be converted
> + to a group of points;
> + - a list of lambdas, each lambda represents a Group;
> + - a Dictionary where each item can be the same of the list: number,
> + point, list of numbers, list of points, list of lists
> + (coordinated lists) or lambdas
> + - an instance of Data;
> + - an instance of group.
> +
> + Usage:
> + >>> s = Series()
> + >>> s.group_list = [1,2,3,4]; print s
> + ["Group 1 ['1', '2', '3', '4']"]
> + >>> s.group_list = [[1,2,3],[4,5,6]]; print s
> + ["Group 1 ['1', '2', '3']", "Group 2 ['4', '5', '6']"]
> + >>> s.group_list = (1,2); print s
> + ["Group 1 ['(1, 2)']"]
> + >>> s.group_list = [(1,2),(2,3)]; print s
> + ["Group 1 ['(1, 2)', '(2, 3)']"]
> + >>> s.group_list = [[(1,2),(2,3)],[(4,5),(5,6)]]; print s
> + ["Group 1 ['(1, 2)', '(2, 3)']", "Group 2 ['(4, 5)', '(5, 6)']"]
> + >>> s.group_list = [[[1,2,3],[1,2,3],[1,2,3]]]; print s
> + ["Group 1 ['(1, 1, 1)', '(2, 2, 2)', '(3, 3, 3)']"]
> + >>> s.group_list = [(0.5,5.5) , [(0,4),(6,8)] , (5.5,7) , (7,9)]; print s
> + ["Group 1 ['(0.5, 5.5)']", "Group 2 ['(0, 4)', '(6, 8)']", "Group 3 ['(5.5, 7)']", "Group 4 ['(7, 9)']"]
> + >>> s.group_list = {'g1':[1,2,3], 'g2':[4,5,6]}; print s
> + ["g1 ['1', '2', '3']", "g2 ['4', '5', '6']"]
> + >>> s.group_list = {'g1':[(1,2),(2,3)], 'g2':[(4,5),(5,6)]}; print s
> + ["g1 ['(1, 2)', '(2, 3)']", "g2 ['(4, 5)', '(5, 6)']"]
> + >>> s.group_list = {'g1':[[1,2],[1,2]], 'g2':[[4,5],[4,5]]}; print s
> + ["g1 ['(1, 1)', '(2, 2)']", "g2 ['(4, 4)', '(5, 5)']"]
> + >>> s.range = 10
> + >>> s.group_list = lambda x:x*2
> + >>> s.group_list = [lambda x:x*2, lambda x:x**2, lambda x:x**3]; print s
> + ["Group 1 ['(0.0, 0.0)', '(1.0, 2.0)', '(2.0, 4.0)', '(3.0, 6.0)', '(4.0, 8.0)', '(5.0, 10.0)', '(6.0, 12.0)', '(7.0, 14.0)', '(8.0, 16.0)', '(9.0, 18.0)', '(10.0, 20.0)']", "Group 2 ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 4.0)', '(3.0, 9.0)', '(4.0, 16.0)', '(5.0, 25.0)', '(6.0, 36.0)', '(7.0, 49.0)', '(8.0, 64.0)', '(9.0, 81.0)', '(10.0, 100.0)']", "Group 3 ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 8.0)', '(3.0, 27.0)', '(4.0, 64.0)', '(5.0, 125.0)', '(6.0, 216.0)', '(7.0, 343.0)', '(8.0, 512.0)', '(9.0, 729.0)', '(10.0, 1000.0)']"]
> + >>> s.group_list = {'linear':lambda x:x*2, 'square':lambda x:x**2, 'cubic':lambda x:x**3}; print s
> + ["cubic ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 8.0)', '(3.0, 27.0)', '(4.0, 64.0)', '(5.0, 125.0)', '(6.0, 216.0)', '(7.0, 343.0)', '(8.0, 512.0)', '(9.0, 729.0)', '(10.0, 1000.0)']", "linear ['(0.0, 0.0)', '(1.0, 2.0)', '(2.0, 4.0)', '(3.0, 6.0)', '(4.0, 8.0)', '(5.0, 10.0)', '(6.0, 12.0)', '(7.0, 14.0)', '(8.0, 16.0)', '(9.0, 18.0)', '(10.0, 20.0)']", "square ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 4.0)', '(3.0, 9.0)', '(4.0, 16.0)', '(5.0, 25.0)', '(6.0, 36.0)', '(7.0, 49.0)', '(8.0, 64.0)', '(9.0, 81.0)', '(10.0, 100.0)']"]
> + >>> s.group_list = Data(1,'d1'); print s
> + ["Group 1 ['d1: 1']"]
> + >>> s.group_list = Group([(1,2),(2,3)],'g1'); print s
> + ["g1 ['(1, 2)', '(2, 3)']"]
> + '''
> + def fget(self):
> + '''
> + Return the group list.
> + '''
> + return self.__group_list
> +
> + def fset(self, series):
> + '''
> + Controls the input of a valid group list.
> + '''
> + #TODO: Add support to the following strem of data: [ (0.5,5.5) , [(0,4),(6,8)] , (5.5,7) , (7,9)]
> +
> + # Type: None
> + if series is None:
> + self.__group_list = []
> +
> + # List or Tuple
> + elif type(series) in LISTTYPES:
> + self.__group_list = []
> +
> + is_function = lambda x: callable(x)
> + # Groups
> + if list in map(type, series) or max(map(is_function, series)):
> + for group in series:
> + self.add_group(group)
> +
> + # single group
> + else:
> + self.add_group(series)
> +
> + #old code
> + ## List of numbers
> + #if type(series[0]) in NUMTYPES or type(series[0]) is tuple:
> + # print series
> + # self.add_group(series)
> + #
> + ## List of anything else
> + #else:
> + # for group in series:
> + # self.add_group(group)
> +
> + # Dict representing series of groups
> + elif type(series) is dict:
> + self.__group_list = []
> + names = series.keys()
> + names.sort()
> + for name in names:
> + self.add_group(Group(series[name],name,self))
> +
> + # A single lambda
> + elif callable(series):
> + self.__group_list = []
> + self.add_group(series)
> +
> + # Int/float, instance of Group or Data
> + elif type(series) in NUMTYPES or isinstance(series, Group) or isinstance(series, Data):
> + self.__group_list = []
> + self.add_group(series)
> +
> + # Default
> + else:
> + raise TypeError, "Serie type not supported"
> +
> + return property(**locals())
> +
> + def add_group(self, group, name=None):
> + '''
> + Append a new group in group_list
> + '''
> + if not isinstance(group, Group):
> + #Try to convert
> + group = Group(group, name, self)
> +
> + if len(group.data_list) is not 0:
> + # Auto naming groups
> + if group.name is None:
> + group.name = "Group "+str(len(self.__group_list)+1)
> +
> + self.__group_list.append(group)
> + self.__group_list[-1].parent = self
> +
> + def copy(self):
> + '''
> + Returns a copy of the Series
> + '''
> + new_series = Series()
> + new_series.__name = self.__name
> + if self.__range is not None:
> + new_series.__range = self.__range[:]
> + #Add color property in the copy method
> + #self.__colors = None
> +
> + for group in self:
> + new_series.add_group(group.copy())
> +
> + return new_series
> +
> + def get_names(self):
> + '''
> + Returns a list of the names of all groups in the Serie
> + '''
> + names = []
> + for group in self:
> + if group.name is None:
> + names.append('Group '+str(group.index()+1))
> + else:
> + names.append(group.name)
> +
> + return names
> +
> + def to_list(self):
> + '''
> + Returns a list with the content of all groups and data
> + '''
> + big_list = []
> + for group in self:
> + for data in group:
> + if type(data.content) in NUMTYPES:
> + big_list.append(data.content)
> + else:
> + big_list = big_list + list(data.content)
> + return big_list
> +
> + def __getitem__(self, key):
> + '''
> + Makes the Series iterable, based in the group_list property
> + '''
> + return self.__group_list[key]
> +
> + def __str__(self):
> + '''
> + Returns a string that represents the Series
> + '''
> + ret = ""
> + if self.name is not None:
> + ret += self.name + " "
> + if len(self) > 0:
> + list_str = [str(item) for item in self]
> + ret += str(list_str)
> + else:
> + ret += "[]"
> + return ret
> +
> + def __len__(self):
> + '''
> + Returns the length of the Series, based in the group_lsit property
> + '''
> + return len(self.group_list)
> +
> +
> +if __name__ == '__main__':
> + doctest.testmod()
> diff --git a/bindings/python/examples/python2/softirqtimes.py b/bindings/python/examples/python2/softirqtimes.py
> new file mode 100755
> index 0000000..59905c1
> --- /dev/null
> +++ b/bindings/python/examples/python2/softirqtimes.py
> @@ -0,0 +1,154 @@
> +#!/usr/bin/env python2
> +# softirqtimes.py
> +#
> +# Babeltrace time of softirqs example script
> +#
> +# Copyright 2012 EfficiOS Inc.
> +#
> +# Author: Danny Serres <danny.serres at efficios.com>
> +#
> +# Permission is hereby granted, free of charge, to any person obtaining a copy
> +# of this software and associated documentation files (the "Software"), to deal
> +# in the Software without restriction, including without limitation the rights
> +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> +# copies of the Software, and to permit persons to whom the Software is
> +# furnished to do so, subject to the following conditions:
> +#
> +# The above copyright notice and this permission notice shall be included in
> +# all copies or substantial portions of the Software.
> +
> +# The script checks the number of events in the trace
> +# and outputs a table and a .svg histogram for the specified
> +# range (microseconds) or the total trace if no range specified.
> +# The graph is generated using the cairoplot module.
> +
> +# The script checks the trace for the amount of time
> +# spent from each softirq_raise to softirq_exit.
> +# It prints out the min, max (with timestamp),
> +# average times, the standard deviation and the total count.
> +# Using the cairoplot module, a .svg graph is also outputted
> +# showing the taken time in function of the time since the
> +# beginning of the trace.
> +
> +import sys, math
> +from output_format_modules import cairoplot
> +from babeltrace import *
> +
> +if len(sys.argv) < 2:
> + raise TypeError("Usage: python softirqtimes.py path/to/trace")
> +
> +ctx = Context()
> +ret = ctx.add_trace(sys.argv[1], "ctf")
> +if ret is None:
> + raise IOError("Error adding trace")
> +
> +time_taken = []
> +graph_data = []
> +max_time = (0.0, 0.0) # (val, ts)
> +
> +# tmp template: {(cpu_id, vec):TS raise}
> +tmp = {}
> +largest_val = 0
> +
> +# Setting iterator
> +bp = IterPos(SEEK_BEGIN)
> +ctf_it = ctf.Iterator(ctx, bp)
> +
> +# Reading events
> +event = ctf_it.read_event()
> +start_time = event.get_timestamp()
> +while(event is not None):
> +
> + event_name = event.get_name()
> + error = True
> + appendNext = False
> +
> + if event_name == 'softirq_raise' or event_name == 'softirq_exit':
> + # Recover cpu_id and vec values to make a key to tmp
> + error = False
> + scope = event.get_top_level_scope(ctf.scope.STREAM_PACKET_CONTEXT)
> + field = event.get_field(scope, "cpu_id")
> + cpu_id = field.get_uint64()
> + if ctf.field_error():
> + print("ERROR: Missing cpu_id info for {}".format(
> + event.get_name()))
> + error = True
> +
> + scope = event.get_top_level_scope(ctf.scope.EVENT_FIELDS)
> + field = event.get_field(scope, "_vec")
> + vec = field.get_uint64()
> + if ctf.field_error():
> + print("ERROR: Missing vec info for {}".format(
> + event.get_name()))
> + error = True
> + key = (cpu_id, vec)
> +
> + if event_name == 'softirq_raise' and not error:
> + # Add timestamp to tmp
> + if key in tmp:
> + # If key already exists
> + i = 0
> + while True:
> + # Add index
> + key = (cpu_id, vec, i)
> + if key in tmp:
> + i += 1
> + continue
> + if i > largest_val:
> + largest_val = i
> + break
> +
> + tmp[key] = event.get_timestamp()
> +
> + if event_name == 'softirq_exit' and not error:
> + # Saving data for output
> + # Key check
> + if not (key in tmp):
> + i = 0
> + while i <= largest_val:
> + key = (key[0], key[1], i)
> + if key in tmp:
> + break
> + i += 1
> +
> + raise_timestamp = tmp[key]
> + time_data = event.get_timestamp() - tmp.pop(key)
> + if time_data > max_time[0]:
> + # max_time = (val, ts)
> + max_time = (time_data, raise_timestamp)
> + time_taken.append(time_data)
> + graph_data.append((raise_timestamp - start_time, time_data))
> +
> + # Next Event
> + ret = ctf_it.next()
> + if ret < 0:
> + break
> + event = ctf_it.read_event()
> +
> +
> +del ctf_it
> +
> +# Standard dev. calc.
> +try:
> + mean = sum(time_taken)/float(len(time_taken))
> +except ZeroDivisionError:
> + raise TypeError("empty data")
> +deviations_squared = []
> +for x in time_taken:
> + deviations_squared.append(math.pow((x - mean), 2))
> +try:
> + stddev = math.sqrt(sum(deviations_squared) / (len(deviations_squared) - 1))
> +except ZeroDivisionError:
> + stddev = '-'
> +
> +# Terminal output
> +print("AVG TIME: {} ns".format(mean))
> +print("MIN TIME: {} ns".format(min(time_taken)))
> +print("MAX TIME: {} ns, TS: {}".format(max_time[0], max_time[1]))
> +print("STD DEV: {}".format(stddev))
> +print("TOTAL COUNT: {}".format(len(time_taken)))
> +
> +# Graph output
> +cairoplot.scatter_plot ( 'softirqtimes.svg', data = graph_data,
> + width = 5000, height = 4000, border = 20, axis = True,
> + grid = True, series_colors = ["red"] )
> diff --git a/bindings/python/examples/python2/syscalls_by_pid.py b/bindings/python/examples/python2/syscalls_by_pid.py
> new file mode 100755
> index 0000000..cf1d581
> --- /dev/null
> +++ b/bindings/python/examples/python2/syscalls_by_pid.py
> @@ -0,0 +1,85 @@
> +#!/usr/bin/env python2
> +# syscall_by_pid.py
> +#
> +# Babeltrace syscall by pid example script
> +#
> +# Copyright 2012 EfficiOS Inc.
> +#
> +# Author: Danny Serres <danny.serres at efficios.com>
> +#
> +# Permission is hereby granted, free of charge, to any person obtaining a copy
> +# of this software and associated documentation files (the "Software"), to deal
> +# in the Software without restriction, including without limitation the rights
> +# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> +# copies of the Software, and to permit persons to whom the Software is
> +# furnished to do so, subject to the following conditions:
> +#
> +# The above copyright notice and this permission notice shall be included in
> +# all copies or substantial portions of the Software.
> +
> +# The script checks the number of events in the trace
> +# and outputs a table and a .svg histogram for the specified
> +# range (microseconds) or the total trace if no range specified.
> +# The graph is generated using the cairoplot module.
> +
> +# The script checks all syscall in the trace and prints a list
> +# showing the number of systemcalls executed by each PID
> +# ordered from greatest to least number of syscalls.
> +# The trace needs PID context (lttng add-context -k -t pid)
> +
> +import sys
> +from babeltrace import *
> +from output_format_modules.pprint_table import pprint_table as pprint
> +
> +if len(sys.argv) < 2 :
> + raise TypeError("Usage: python syscalls_by_pid.py path/to/trace")
> +
> +ctx = Context()
> +ret = ctx.add_trace(sys.argv[1], "ctf")
> +if ret is None:
> + raise IOError("Error adding trace")
> +
> +data = {}
> +
> +# Setting iterator
> +bp = IterPos(SEEK_BEGIN)
> +ctf_it = ctf.Iterator(ctx, bp)
> +
> +# Reading events
> +event = ctf_it.read_event()
> +while event is not None:
> + if event.get_name().find("sys") >= 0:
> + # Getting scope definition
> + sco = event.get_top_level_scope(ctf.scope.STREAM_EVENT_CONTEXT)
> + if sco is None:
> + print("ERROR: Cannot get definition scope for {}".format(
> + event.get_name()))
> + else:
> + # Getting PID
> + pid_field = event.get_field(sco, "_pid")
> + pid = pid_field.get_int64()
> +
> + if ctf.field_error():
> + print("ERROR: Missing PID info for sched_switch".format(
> + event.get_name()))
> + elif pid in data:
> + data[pid] += 1
> + else:
> + data[pid] = 1
> + # Next event
> + ret = ctf_it.next()
> + if ret < 0:
> + break
> + event = ctf_it.read_event()
> +
> +del ctf_it
> +
> +# Setting table for output
> +table = []
> +for item in data:
> + table.append([data[item], item]) # [count, pid]
> +table.sort(reverse = True) # [big count first, pid]
> +for i in range(len(table)):
> + table[i].reverse() # [pid, big count first]
> +table.insert(0, ["PID", "SYSCALL COUNT"])
> +pprint(table)
> diff --git a/bindings/python/examples/sched_switch.py b/bindings/python/examples/sched_switch.py
> old mode 100644
> new mode 100755
> index 7ae834b..d5ed25b
> --- a/bindings/python/examples/sched_switch.py
> +++ b/bindings/python/examples/sched_switch.py
> @@ -1,18 +1,19 @@
> +#!/usr/bin/env python3
> # sched_switch.py
> -#
> +#
> # Babeltrace example script with sched_switch events
> -#
> +#
> # Copyright 2012 EfficiOS Inc.
> -#
> +#
> # Author: Danny Serres <danny.serres at efficios.com>
> -#
> +#
> # Permission is hereby granted, free of charge, to any person obtaining a copy
> # of this software and associated documentation files (the "Software"), to deal
> # in the Software without restriction, including without limitation the rights
> # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> # copies of the Software, and to permit persons to whom the Software is
> # furnished to do so, subject to the following conditions:
> -#
> +#
> # The above copyright notice and this permission notice shall be included in
> # all copies or substantial portions of the Software.
>
> diff --git a/bindings/python/examples/softirqtimes.py b/bindings/python/examples/softirqtimes.py
> deleted file mode 100644
> index 903bf3e..0000000
> --- a/bindings/python/examples/softirqtimes.py
> +++ /dev/null
> @@ -1,153 +0,0 @@
> -# softirqtimes.py
> -#
> -# Babeltrace time of softirqs example script
> -#
> -# Copyright 2012 EfficiOS Inc.
> -#
> -# Author: Danny Serres <danny.serres at efficios.com>
> -#
> -# Permission is hereby granted, free of charge, to any person obtaining a copy
> -# of this software and associated documentation files (the "Software"), to deal
> -# in the Software without restriction, including without limitation the rights
> -# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> -# copies of the Software, and to permit persons to whom the Software is
> -# furnished to do so, subject to the following conditions:
> -#
> -# The above copyright notice and this permission notice shall be included in
> -# all copies or substantial portions of the Software.
> -
> -# The script checks the number of events in the trace
> -# and outputs a table and a .svg histogram for the specified
> -# range (microseconds) or the total trace if no range specified.
> -# The graph is generated using the cairoplot module.
> -
> -# The script checks the trace for the amount of time
> -# spent from each softirq_raise to softirq_exit.
> -# It prints out the min, max (with timestamp),
> -# average times, the standard deviation and the total count.
> -# Using the cairoplot module, a .svg graph is also outputted
> -# showing the taken time in function of the time since the
> -# beginning of the trace.
> -
> -import sys, math
> -from output_format_modules import cairoplot
> -from babeltrace import *
> -
> -if len(sys.argv) < 2:
> - raise TypeError("Usage: python softirqtimes.py path/to/trace")
> -
> -ctx = Context()
> -ret = ctx.add_trace(sys.argv[1], "ctf")
> -if ret is None:
> - raise IOError("Error adding trace")
> -
> -time_taken = []
> -graph_data = []
> -max_time = (0.0, 0.0) # (val, ts)
> -
> -# tmp template: {(cpu_id, vec):TS raise}
> -tmp = {}
> -largest_val = 0
> -
> -# Setting iterator
> -bp = IterPos(SEEK_BEGIN)
> -ctf_it = ctf.Iterator(ctx, bp)
> -
> -# Reading events
> -event = ctf_it.read_event()
> -start_time = event.get_timestamp()
> -while(event is not None):
> -
> - event_name = event.get_name()
> - error = True
> - appendNext = False
> -
> - if event_name == 'softirq_raise' or event_name == 'softirq_exit':
> - # Recover cpu_id and vec values to make a key to tmp
> - error = False
> - scope = event.get_top_level_scope(ctf.scope.STREAM_PACKET_CONTEXT)
> - field = event.get_field(scope, "cpu_id")
> - cpu_id = field.get_uint64()
> - if ctf.field_error():
> - print("ERROR: Missing cpu_id info for {}".format(
> - event.get_name()))
> - error = True
> -
> - scope = event.get_top_level_scope(ctf.scope.EVENT_FIELDS)
> - field = event.get_field(scope, "_vec")
> - vec = field.get_uint64()
> - if ctf.field_error():
> - print("ERROR: Missing vec info for {}".format(
> - event.get_name()))
> - error = True
> - key = (cpu_id, vec)
> -
> - if event_name == 'softirq_raise' and not error:
> - # Add timestamp to tmp
> - if key in tmp:
> - # If key already exists
> - i = 0
> - while True:
> - # Add index
> - key = (cpu_id, vec, i)
> - if key in tmp:
> - i += 1
> - continue
> - if i > largest_val:
> - largest_val = i
> - break
> -
> - tmp[key] = event.get_timestamp()
> -
> - if event_name == 'softirq_exit' and not error:
> - # Saving data for output
> - # Key check
> - if not (key in tmp):
> - i = 0
> - while i <= largest_val:
> - key = (key[0], key[1], i)
> - if key in tmp:
> - break
> - i += 1
> -
> - raise_timestamp = tmp[key]
> - time_data = event.get_timestamp() - tmp.pop(key)
> - if time_data > max_time[0]:
> - # max_time = (val, ts)
> - max_time = (time_data, raise_timestamp)
> - time_taken.append(time_data)
> - graph_data.append((raise_timestamp - start_time, time_data))
> -
> - # Next Event
> - ret = ctf_it.next()
> - if ret < 0:
> - break
> - event = ctf_it.read_event()
> -
> -
> -del ctf_it
> -
> -# Standard dev. calc.
> -try:
> - mean = sum(time_taken)/float(len(time_taken))
> -except ZeroDivisionError:
> - raise TypeError("empty data")
> -deviations_squared = []
> -for x in time_taken:
> - deviations_squared.append(math.pow((x - mean), 2))
> -try:
> - stddev = math.sqrt(sum(deviations_squared) / (len(deviations_squared) - 1))
> -except ZeroDivisionError:
> - stddev = '-'
> -
> -# Terminal output
> -print("AVG TIME: {} ns".format(mean))
> -print("MIN TIME: {} ns".format(min(time_taken)))
> -print("MAX TIME: {} ns, TS: {}".format(max_time[0], max_time[1]))
> -print("STD DEV: {}".format(stddev))
> -print("TOTAL COUNT: {}".format(len(time_taken)))
> -
> -# Graph output
> -cairoplot.scatter_plot ( 'softirqtimes.svg', data = graph_data,
> - width = 5000, height = 4000, border = 20, axis = True,
> - grid = True, series_colors = ["red"] )
> diff --git a/bindings/python/examples/syscalls_by_pid.py b/bindings/python/examples/syscalls_by_pid.py
> deleted file mode 100644
> index 3ae342e..0000000
> --- a/bindings/python/examples/syscalls_by_pid.py
> +++ /dev/null
> @@ -1,84 +0,0 @@
> -# syscall_by_pid.py
> -#
> -# Babeltrace syscall by pid example script
> -#
> -# Copyright 2012 EfficiOS Inc.
> -#
> -# Author: Danny Serres <danny.serres at efficios.com>
> -#
> -# Permission is hereby granted, free of charge, to any person obtaining a copy
> -# of this software and associated documentation files (the "Software"), to deal
> -# in the Software without restriction, including without limitation the rights
> -# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
> -# copies of the Software, and to permit persons to whom the Software is
> -# furnished to do so, subject to the following conditions:
> -#
> -# The above copyright notice and this permission notice shall be included in
> -# all copies or substantial portions of the Software.
> -
> -# The script checks the number of events in the trace
> -# and outputs a table and a .svg histogram for the specified
> -# range (microseconds) or the total trace if no range specified.
> -# The graph is generated using the cairoplot module.
> -
> -# The script checks all syscall in the trace and prints a list
> -# showing the number of systemcalls executed by each PID
> -# ordered from greatest to least number of syscalls.
> -# The trace needs PID context (lttng add-context -k -t pid)
> -
> -import sys
> -from babeltrace import *
> -from output_format_modules.pprint_table import pprint_table as pprint
> -
> -if len(sys.argv) < 2 :
> - raise TypeError("Usage: python syscalls_by_pid.py path/to/trace")
> -
> -ctx = Context()
> -ret = ctx.add_trace(sys.argv[1], "ctf")
> -if ret is None:
> - raise IOError("Error adding trace")
> -
> -data = {}
> -
> -# Setting iterator
> -bp = IterPos(SEEK_BEGIN)
> -ctf_it = ctf.Iterator(ctx, bp)
> -
> -# Reading events
> -event = ctf_it.read_event()
> -while event is not None:
> - if event.get_name().find("sys") >= 0:
> - # Getting scope definition
> - sco = event.get_top_level_scope(ctf.scope.STREAM_EVENT_CONTEXT)
> - if sco is None:
> - print("ERROR: Cannot get definition scope for {}".format(
> - event.get_name()))
> - else:
> - # Getting PID
> - pid_field = event.get_field(sco, "_pid")
> - pid = pid_field.get_int64()
> -
> - if ctf.field_error():
> - print("ERROR: Missing PID info for sched_switch".format(
> - event.get_name()))
> - elif pid in data:
> - data[pid] += 1
> - else:
> - data[pid] = 1
> - # Next event
> - ret = ctf_it.next()
> - if ret < 0:
> - break
> - event = ctf_it.read_event()
> -
> -del ctf_it
> -
> -# Setting table for output
> -table = []
> -for item in data:
> - table.append([data[item], item]) # [count, pid]
> -table.sort(reverse = True) # [big count first, pid]
> -for i in range(len(table)):
> - table[i].reverse() # [pid, big count first]
> -table.insert(0, ["PID", "SYSCALL COUNT"])
> -pprint(table)
> diff --git a/tests/tests-python.py b/tests/tests-python.py
> old mode 100644
> new mode 100755
> index 0bd71c2..8695f61
> --- a/tests/tests-python.py
> +++ b/tests/tests-python.py
> @@ -1,3 +1,4 @@
> +#!/usr/bin/env python3
> import unittest
> import sys
> from babeltrace import *
> --
> 1.8.1.1
>
>
> _______________________________________________
> lttng-dev mailing list
> lttng-dev at lists.lttng.org
> http://lists.lttng.org/cgi-bin/mailman/listinfo/lttng-dev
--
Mathieu Desnoyers
EfficiOS Inc.
http://www.efficios.com
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