+#!/usr/bin/env python3
# babeltrace_and_lttng.py
#
# Babeltrace and LTTng example script
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:
+++ /dev/null
-# eventcount.py
-#
-# Babeltrace event count example script
-#
-# Copyright 2012 EfficiOS Inc.
-#
-# Author: Danny Serres <danny.serres@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)
+++ /dev/null
-# eventcountlist.py
-#
-# Babeltrace event count list example script
-#
-# Copyright 2012 EfficiOS Inc.
-#
-# Author: Danny Serres <danny.serres@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()) )
+++ /dev/null
-# events_per_cpu.py
-#
-# Babeltrace events per cpu example script
-#
-# Copyright 2012 EfficiOS Inc.
-#
-# Author: Danny Serres <danny.serres@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()
+#!/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@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.
+++ /dev/null
-# histogram.py
-#
-# Babeltrace histogram example script
-#
-# Copyright 2012 EfficiOS Inc.
-#
-# Author: Danny Serres <danny.serres@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 )
+++ /dev/null
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-# CairoPlot.py
-#
-# Copyright (c) 2008 Rodrigo Moreira Araújo
-#
-# Author: Rodrigo Moreiro Araujo <alf.rodrigo@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
+++ /dev/null
-# 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
+++ /dev/null
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-# Serie.py
-#
-# Copyright (c) 2008 Magnun Leno da Silva
-#
-# Author: Magnun Leno da Silva <magnun.leno@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@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()
--- /dev/null
+#!/usr/bin/env python2
+# eventcount.py
+#
+# Babeltrace event count example script
+#
+# Copyright 2012 EfficiOS Inc.
+#
+# Author: Danny Serres <danny.serres@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)
--- /dev/null
+#!/usr/bin/env python2
+# eventcountlist.py
+#
+# Babeltrace event count list example script
+#
+# Copyright 2012 EfficiOS Inc.
+#
+# Author: Danny Serres <danny.serres@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()) )
--- /dev/null
+#!/usr/bin/env python2
+# events_per_cpu.py
+#
+# Babeltrace events per cpu example script
+#
+# Copyright 2012 EfficiOS Inc.
+#
+# Author: Danny Serres <danny.serres@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()
--- /dev/null
+#!/usr/bin/env python2
+# histogram.py
+#
+# Babeltrace histogram example script
+#
+# Copyright 2012 EfficiOS Inc.
+#
+# Author: Danny Serres <danny.serres@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 )
--- /dev/null
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+# CairoPlot.py
+#
+# Copyright (c) 2008 Rodrigo Moreira Araújo
+#
+# Author: Rodrigo Moreiro Araujo <alf.rodrigo@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
--- /dev/null
+# 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
--- /dev/null
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+# Serie.py
+#
+# Copyright (c) 2008 Magnun Leno da Silva
+#
+# Author: Magnun Leno da Silva <magnun.leno@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@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()
--- /dev/null
+#!/usr/bin/env python2
+# softirqtimes.py
+#
+# Babeltrace time of softirqs example script
+#
+# Copyright 2012 EfficiOS Inc.
+#
+# Author: Danny Serres <danny.serres@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"] )
--- /dev/null
+#!/usr/bin/env python2
+# syscall_by_pid.py
+#
+# Babeltrace syscall by pid example script
+#
+# Copyright 2012 EfficiOS Inc.
+#
+# Author: Danny Serres <danny.serres@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)
+#!/usr/bin/env python3
# sched_switch.py
-#
+#
# Babeltrace example script with sched_switch events
-#
+#
# Copyright 2012 EfficiOS Inc.
-#
+#
# Author: Danny Serres <danny.serres@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.
+++ /dev/null
-# softirqtimes.py
-#
-# Babeltrace time of softirqs example script
-#
-# Copyright 2012 EfficiOS Inc.
-#
-# Author: Danny Serres <danny.serres@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"] )
+++ /dev/null
-# syscall_by_pid.py
-#
-# Babeltrace syscall by pid example script
-#
-# Copyright 2012 EfficiOS Inc.
-#
-# Author: Danny Serres <danny.serres@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)
+#!/usr/bin/env python3
import unittest
import sys
from babeltrace import *
projects / babeltrace.git / commitdiff
