Remove Python 2 specific examples
authorJérémie Galarneau <jeremie.galarneau@efficios.com>
Mon, 19 Aug 2013 19:48:12 +0000 (15:48 -0400)
committerJérémie Galarneau <jeremie.galarneau@efficios.com>
Tue, 12 Nov 2013 16:25:18 +0000 (11:25 -0500)
These examples rely on the cairoplot module which is not compatible with
Python 3.

Signed-off-by: Jérémie Galarneau <jeremie.galarneau@efficios.com>
bindings/python/examples/python2/eventcount.py [deleted file]
bindings/python/examples/python2/eventcountlist.py [deleted file]
bindings/python/examples/python2/events_per_cpu.py [deleted file]
bindings/python/examples/python2/histogram.py [deleted file]
bindings/python/examples/python2/output_format_modules/cairoplot.py [deleted file]
bindings/python/examples/python2/output_format_modules/pprint_table.py [deleted file]
bindings/python/examples/python2/output_format_modules/series.py [deleted file]
bindings/python/examples/python2/softirqtimes.py [deleted file]
bindings/python/examples/python2/syscalls_by_pid.py [deleted file]

diff --git a/bindings/python/examples/python2/eventcount.py b/bindings/python/examples/python2/eventcount.py
deleted file mode 100644 (file)
index 079633c..0000000
+++ /dev/null
@@ -1,85 +0,0 @@
-#!/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)
diff --git a/bindings/python/examples/python2/eventcountlist.py b/bindings/python/examples/python2/eventcountlist.py
deleted file mode 100644 (file)
index 1b42b4e..0000000
+++ /dev/null
@@ -1,84 +0,0 @@
-#!/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()) )
diff --git a/bindings/python/examples/python2/events_per_cpu.py b/bindings/python/examples/python2/events_per_cpu.py
deleted file mode 100644 (file)
index 6425b2d..0000000
+++ /dev/null
@@ -1,100 +0,0 @@
-#!/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()
diff --git a/bindings/python/examples/python2/histogram.py b/bindings/python/examples/python2/histogram.py
deleted file mode 100644 (file)
index 09618cb..0000000
+++ /dev/null
@@ -1,140 +0,0 @@
-#!/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 )
diff --git a/bindings/python/examples/python2/output_format_modules/cairoplot.py b/bindings/python/examples/python2/output_format_modules/cairoplot.py
deleted file mode 100644 (file)
index a27113f..0000000
+++ /dev/null
@@ -1,2336 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-# CairoPlot.py
-#
-# Copyright (c) 2008 Rodrigo Moreira Araújo
-#
-# Author: Rodrigo Moreiro Araujo <alf.rodrigo@gmail.com>
-#
-# This program is free software; you can redistribute it and/or
-# modify it under the terms of the GNU Lesser General Public License
-# as published by the Free Software Foundation; either version 2 of
-# the License, or (at your option) any later version.
-#
-# This program is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU General Public License for more details.
-#
-# You should have received a copy of the GNU Lesser General Public
-# License along with this program; if not, write to the Free Software
-# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
-# USA
-
-#Contributor: João S. O. Bueno
-
-#TODO: review BarPlot Code
-#TODO: x_label colision problem on Horizontal Bar Plot
-#TODO: y_label's eat too much space on HBP
-
-
-__version__ = 1.2
-
-import cairo
-import math
-import random
-from series import Series, Group, Data
-
-HORZ = 0
-VERT = 1
-NORM = 2
-
-COLORS = {"red"    : (1.0,0.0,0.0,1.0), "lime"    : (0.0,1.0,0.0,1.0), "blue"   : (0.0,0.0,1.0,1.0),
-          "maroon" : (0.5,0.0,0.0,1.0), "green"   : (0.0,0.5,0.0,1.0), "navy"   : (0.0,0.0,0.5,1.0),
-          "yellow" : (1.0,1.0,0.0,1.0), "magenta" : (1.0,0.0,1.0,1.0), "cyan"   : (0.0,1.0,1.0,1.0),
-          "orange" : (1.0,0.5,0.0,1.0), "white"   : (1.0,1.0,1.0,1.0), "black"  : (0.0,0.0,0.0,1.0),
-          "gray" : (0.5,0.5,0.5,1.0), "light_gray" : (0.9,0.9,0.9,1.0),
-          "transparent" : (0.0,0.0,0.0,0.0)}
-
-THEMES = {"black_red"         : [(0.0,0.0,0.0,1.0), (1.0,0.0,0.0,1.0)],
-          "red_green_blue"    : [(1.0,0.0,0.0,1.0), (0.0,1.0,0.0,1.0), (0.0,0.0,1.0,1.0)],
-          "red_orange_yellow" : [(1.0,0.2,0.0,1.0), (1.0,0.7,0.0,1.0), (1.0,1.0,0.0,1.0)],
-          "yellow_orange_red" : [(1.0,1.0,0.0,1.0), (1.0,0.7,0.0,1.0), (1.0,0.2,0.0,1.0)],
-          "rainbow"           : [(1.0,0.0,0.0,1.0), (1.0,0.5,0.0,1.0), (1.0,1.0,0.0,1.0), (0.0,1.0,0.0,1.0), (0.0,0.0,1.0,1.0), (0.3, 0.0, 0.5,1.0), (0.5, 0.0, 1.0, 1.0)]}
-
-def colors_from_theme( theme, series_length, mode = 'solid' ):
-    colors = []
-    if theme not in THEMES.keys() :
-        raise Exception, "Theme not defined"
-    color_steps = THEMES[theme]
-    n_colors = len(color_steps)
-    if series_length <= n_colors:
-        colors = [color + tuple([mode]) for color in color_steps[0:n_colors]]
-    else:
-        iterations = [(series_length - n_colors)/(n_colors - 1) for i in color_steps[:-1]]
-        over_iterations = (series_length - n_colors) % (n_colors - 1)
-        for i in range(n_colors - 1):
-            if over_iterations <= 0:
-                break
-            iterations[i] += 1
-            over_iterations -= 1
-        for index,color in enumerate(color_steps[:-1]):
-            colors.append(color + tuple([mode]))
-            if iterations[index] == 0:
-                continue
-            next_color = color_steps[index+1]
-            color_step = ((next_color[0] - color[0])/(iterations[index] + 1),
-                          (next_color[1] - color[1])/(iterations[index] + 1),
-                          (next_color[2] - color[2])/(iterations[index] + 1),
-                          (next_color[3] - color[3])/(iterations[index] + 1))
-            for i in range( iterations[index] ):
-                colors.append((color[0] + color_step[0]*(i+1),
-                               color[1] + color_step[1]*(i+1),
-                               color[2] + color_step[2]*(i+1),
-                               color[3] + color_step[3]*(i+1),
-                               mode))
-        colors.append(color_steps[-1] + tuple([mode]))
-    return colors
-
-
-def other_direction(direction):
-    "explicit is better than implicit"
-    if direction == HORZ:
-        return VERT
-    else:
-        return HORZ
-
-#Class definition
-
-class Plot(object):
-    def __init__(self,
-                 surface=None,
-                 data=None,
-                 width=640,
-                 height=480,
-                 background=None,
-                 border = 0,
-                 x_labels = None,
-                 y_labels = None,
-                 series_colors = None):
-        random.seed(2)
-        self.create_surface(surface, width, height)
-        self.dimensions = {}
-        self.dimensions[HORZ] = width
-        self.dimensions[VERT] = height
-        self.context = cairo.Context(self.surface)
-        self.labels={}
-        self.labels[HORZ] = x_labels
-        self.labels[VERT] = y_labels
-        self.load_series(data, x_labels, y_labels, series_colors)
-        self.font_size = 10
-        self.set_background (background)
-        self.border = border
-        self.borders = {}
-        self.line_color = (0.5, 0.5, 0.5)
-        self.line_width = 0.5
-        self.label_color = (0.0, 0.0, 0.0)
-        self.grid_color = (0.8, 0.8, 0.8)
-
-    def create_surface(self, surface, width=None, height=None):
-        self.filename = None
-        if isinstance(surface, cairo.Surface):
-            self.surface = surface
-            return
-        if not type(surface) in (str, unicode):
-            raise TypeError("Surface should be either a Cairo surface or a filename, not %s" % surface)
-        sufix = surface.rsplit(".")[-1].lower()
-        self.filename = surface
-        if sufix == "png":
-            self.surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, width, height)
-        elif sufix == "ps":
-            self.surface = cairo.PSSurface(surface, width, height)
-        elif sufix == "pdf":
-            self.surface = cairo.PSSurface(surface, width, height)
-        else:
-            if sufix != "svg":
-                self.filename += ".svg"
-            self.surface = cairo.SVGSurface(self.filename, width, height)
-
-    def commit(self):
-        try:
-            self.context.show_page()
-            if self.filename and self.filename.endswith(".png"):
-                self.surface.write_to_png(self.filename)
-            else:
-                self.surface.finish()
-        except cairo.Error:
-            pass
-
-    def load_series (self, data, x_labels=None, y_labels=None, series_colors=None):
-        self.series_labels = []
-        self.series = None
-
-        #The pretty way
-        #if not isinstance(data, Series):
-        #    # Not an instance of Series
-        #    self.series = Series(data)
-        #else:
-        #    self.series = data
-        #
-        #self.series_labels = self.series.get_names()
-
-        #TODO: Remove on next version
-        # The ugly way, keeping retrocompatibility...
-        if callable(data) or type(data) is list and callable(data[0]): # Lambda or List of lambdas
-            self.series = data
-            self.series_labels = None
-        elif isinstance(data, Series): # Instance of Series
-            self.series = data
-            self.series_labels = data.get_names()
-        else: # Anything else
-            self.series = Series(data)
-            self.series_labels = self.series.get_names()
-
-        #TODO: allow user passed series_widths
-        self.series_widths = [1.0 for group in self.series]
-
-        #TODO: Remove on next version
-        self.process_colors( series_colors )
-
-    def process_colors( self, series_colors, length = None, mode = 'solid' ):
-        #series_colors might be None, a theme, a string of colors names or a list of color tuples
-        if length is None :
-            length = len( self.series.to_list() )
-
-        #no colors passed
-        if not series_colors:
-            #Randomize colors
-            self.series_colors = [ [random.random() for i in range(3)] + [1.0, mode]  for series in range( length ) ]
-        else:
-            #Just theme pattern
-            if not hasattr( series_colors, "__iter__" ):
-                theme = series_colors
-                self.series_colors = colors_from_theme( theme.lower(), length )
-
-            #Theme pattern and mode
-            elif not hasattr(series_colors, '__delitem__') and not hasattr( series_colors[0], "__iter__" ):
-                theme = series_colors[0]
-                mode = series_colors[1]
-                self.series_colors = colors_from_theme( theme.lower(), length, mode )
-
-            #List
-            else:
-                self.series_colors = series_colors
-                for index, color in enumerate( self.series_colors ):
-                    #element is a color name
-                    if not hasattr(color, "__iter__"):
-                        self.series_colors[index] = COLORS[color.lower()] + tuple([mode])
-                    #element is rgb tuple instead of rgba
-                    elif len( color ) == 3 :
-                        self.series_colors[index] += (1.0,mode)
-                    #element has 4 elements, might be rgba tuple or rgb tuple with mode
-                    elif len( color ) == 4 :
-                        #last element is mode
-                        if not hasattr(color[3], "__iter__"):
-                            self.series_colors[index] += tuple([color[3]])
-                            self.series_colors[index][3] = 1.0
-                        #last element is alpha
-                        else:
-                            self.series_colors[index] += tuple([mode])
-
-    def get_width(self):
-        return self.surface.get_width()
-
-    def get_height(self):
-        return self.surface.get_height()
-
-    def set_background(self, background):
-        if background is None:
-            self.background = (0.0,0.0,0.0,0.0)
-        elif type(background) in (cairo.LinearGradient, tuple):
-            self.background = background
-        elif not hasattr(background,"__iter__"):
-            colors = background.split(" ")
-            if len(colors) == 1 and colors[0] in COLORS:
-                self.background = COLORS[background]
-            elif len(colors) > 1:
-                self.background = cairo.LinearGradient(self.dimensions[HORZ] / 2, 0, self.dimensions[HORZ] / 2, self.dimensions[VERT])
-                for index,color in enumerate(colors):
-                    self.background.add_color_stop_rgba(float(index)/(len(colors)-1),*COLORS[color])
-        else:
-            raise TypeError ("Background should be either cairo.LinearGradient or a 3/4-tuple, not %s" % type(background))
-
-    def render_background(self):
-        if isinstance(self.background, cairo.LinearGradient):
-            self.context.set_source(self.background)
-        else:
-            self.context.set_source_rgba(*self.background)
-        self.context.rectangle(0,0, self.dimensions[HORZ], self.dimensions[VERT])
-        self.context.fill()
-
-    def render_bounding_box(self):
-        self.context.set_source_rgba(*self.line_color)
-        self.context.set_line_width(self.line_width)
-        self.context.rectangle(self.border, self.border,
-                               self.dimensions[HORZ] - 2 * self.border,
-                               self.dimensions[VERT] - 2 * self.border)
-        self.context.stroke()
-
-    def render(self):
-        pass
-
-class ScatterPlot( Plot ):
-    def __init__(self,
-                 surface=None,
-                 data=None,
-                 errorx=None,
-                 errory=None,
-                 width=640,
-                 height=480,
-                 background=None,
-                 border=0,
-                 axis = False,
-                 dash = False,
-                 discrete = False,
-                 dots = 0,
-                 grid = False,
-                 series_legend = False,
-                 x_labels = None,
-                 y_labels = None,
-                 x_bounds = None,
-                 y_bounds = None,
-                 z_bounds = None,
-                 x_title  = None,
-                 y_title  = None,
-                 series_colors = None,
-                 circle_colors = None ):
-
-        self.bounds = {}
-        self.bounds[HORZ] = x_bounds
-        self.bounds[VERT] = y_bounds
-        self.bounds[NORM] = z_bounds
-        self.titles = {}
-        self.titles[HORZ] = x_title
-        self.titles[VERT] = y_title
-        self.max_value = {}
-        self.axis = axis
-        self.discrete = discrete
-        self.dots = dots
-        self.grid = grid
-        self.series_legend = series_legend
-        self.variable_radius = False
-        self.x_label_angle = math.pi / 2.5
-        self.circle_colors = circle_colors
-
-        Plot.__init__(self, surface, data, width, height, background, border, x_labels, y_labels, series_colors)
-
-        self.dash = None
-        if dash:
-            if hasattr(dash, "keys"):
-                self.dash = [dash[key] for key in self.series_labels]
-            elif max([hasattr(item,'__delitem__') for item in data]) :
-                self.dash = dash
-            else:
-                self.dash = [dash]
-
-        self.load_errors(errorx, errory)
-
-    def convert_list_to_tuple(self, data):
-        #Data must be converted from lists of coordinates to a single
-        # list of tuples
-        out_data = zip(*data)
-        if len(data) == 3:
-            self.variable_radius = True
-        return out_data
-
-    def load_series(self, data, x_labels = None, y_labels = None, series_colors=None):
-        #TODO: In cairoplot 2.0 keep only the Series instances
-
-        # Convert Data and Group to Series
-        if isinstance(data, Data) or isinstance(data, Group):
-            data = Series(data)
-
-        # Series
-        if  isinstance(data, Series):
-            for group in data:
-                for item in group:
-                    if len(item) is 3:
-                        self.variable_radius = True
-
-        #Dictionary with lists
-        if hasattr(data, "keys") :
-            if hasattr( data.values()[0][0], "__delitem__" ) :
-                for key in data.keys() :
-                    data[key] = self.convert_list_to_tuple(data[key])
-            elif len(data.values()[0][0]) == 3:
-                    self.variable_radius = True
-        #List
-        elif hasattr(data[0], "__delitem__") :
-            #List of lists
-            if hasattr(data[0][0], "__delitem__") :
-                for index,value in enumerate(data) :
-                    data[index] = self.convert_list_to_tuple(value)
-            #List
-            elif type(data[0][0]) != type((0,0)):
-                data = self.convert_list_to_tuple(data)
-            #Three dimensional data
-            elif len(data[0][0]) == 3:
-                self.variable_radius = True
-
-        #List with three dimensional tuples
-        elif len(data[0]) == 3:
-            self.variable_radius = True
-        Plot.load_series(self, data, x_labels, y_labels, series_colors)
-        self.calc_boundaries()
-        self.calc_labels()
-
-    def load_errors(self, errorx, errory):
-        self.errors = None
-        if errorx == None and errory == None:
-            return
-        self.errors = {}
-        self.errors[HORZ] = None
-        self.errors[VERT] = None
-        #asimetric errors
-        if errorx and hasattr(errorx[0], "__delitem__"):
-            self.errors[HORZ] = errorx
-        #simetric errors
-        elif errorx:
-            self.errors[HORZ] = [errorx]
-        #asimetric errors
-        if errory and hasattr(errory[0], "__delitem__"):
-            self.errors[VERT] = errory
-        #simetric errors
-        elif errory:
-            self.errors[VERT] = [errory]
-
-    def calc_labels(self):
-        if not self.labels[HORZ]:
-            amplitude = self.bounds[HORZ][1] - self.bounds[HORZ][0]
-            if amplitude % 10: #if horizontal labels need floating points
-                self.labels[HORZ] = ["%.2lf" % (float(self.bounds[HORZ][0] + (amplitude * i / 10.0))) for i in range(11) ]
-            else:
-                self.labels[HORZ] = ["%d" % (int(self.bounds[HORZ][0] + (amplitude * i / 10.0))) for i in range(11) ]
-        if not self.labels[VERT]:
-            amplitude = self.bounds[VERT][1] - self.bounds[VERT][0]
-            if amplitude % 10: #if vertical labels need floating points
-                self.labels[VERT] = ["%.2lf" % (float(self.bounds[VERT][0] + (amplitude * i / 10.0))) for i in range(11) ]
-            else:
-                self.labels[VERT] = ["%d" % (int(self.bounds[VERT][0] + (amplitude * i / 10.0))) for i in range(11) ]
-
-    def calc_extents(self, direction):
-        self.context.set_font_size(self.font_size * 0.8)
-        self.max_value[direction] = max(self.context.text_extents(item)[2] for item in self.labels[direction])
-        self.borders[other_direction(direction)] = self.max_value[direction] + self.border + 20
-
-    def calc_boundaries(self):
-        #HORZ = 0, VERT = 1, NORM = 2
-        min_data_value = [0,0,0]
-        max_data_value = [0,0,0]
-
-        for group in self.series:
-            if type(group[0].content) in (int, float, long):
-                group = [Data((index, item.content)) for index,item in enumerate(group)]
-
-            for point in group:
-                for index, item in enumerate(point.content):
-                    if item > max_data_value[index]:
-                        max_data_value[index] = item
-                    elif item < min_data_value[index]:
-                        min_data_value[index] = item
-
-        if not self.bounds[HORZ]:
-            self.bounds[HORZ] = (min_data_value[HORZ], max_data_value[HORZ])
-        if not self.bounds[VERT]:
-            self.bounds[VERT] = (min_data_value[VERT], max_data_value[VERT])
-        if not self.bounds[NORM]:
-            self.bounds[NORM] = (min_data_value[NORM], max_data_value[NORM])
-
-    def calc_all_extents(self):
-        self.calc_extents(HORZ)
-        self.calc_extents(VERT)
-
-        self.plot_height = self.dimensions[VERT] - 2 * self.borders[VERT]
-        self.plot_width = self.dimensions[HORZ] - 2* self.borders[HORZ]
-
-        self.plot_top = self.dimensions[VERT] - self.borders[VERT]
-
-    def calc_steps(self):
-        #Calculates all the x, y, z and color steps
-        series_amplitude = [self.bounds[index][1] - self.bounds[index][0] for index in range(3)]
-
-        if series_amplitude[HORZ]:
-            self.horizontal_step = float (self.plot_width) / series_amplitude[HORZ]
-        else:
-            self.horizontal_step = 0.00
-
-        if series_amplitude[VERT]:
-            self.vertical_step = float (self.plot_height) / series_amplitude[VERT]
-        else:
-            self.vertical_step = 0.00
-
-        if series_amplitude[NORM]:
-            if self.variable_radius:
-                self.z_step = float (self.bounds[NORM][1]) / series_amplitude[NORM]
-            if self.circle_colors:
-                self.circle_color_step = tuple([float(self.circle_colors[1][i]-self.circle_colors[0][i])/series_amplitude[NORM] for i in range(4)])
-        else:
-            self.z_step = 0.00
-            self.circle_color_step = ( 0.0, 0.0, 0.0, 0.0 )
-
-    def get_circle_color(self, value):
-        return tuple( [self.circle_colors[0][i] + value*self.circle_color_step[i] for i in range(4)] )
-
-    def render(self):
-        self.calc_all_extents()
-        self.calc_steps()
-        self.render_background()
-        self.render_bounding_box()
-        if self.axis:
-            self.render_axis()
-        if self.grid:
-            self.render_grid()
-        self.render_labels()
-        self.render_plot()
-        if self.errors:
-            self.render_errors()
-        if self.series_legend and self.series_labels:
-            self.render_legend()
-
-    def render_axis(self):
-        #Draws both the axis lines and their titles
-        cr = self.context
-        cr.set_source_rgba(*self.line_color)
-        cr.move_to(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT])
-        cr.line_to(self.borders[HORZ], self.borders[VERT])
-        cr.stroke()
-
-        cr.move_to(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT])
-        cr.line_to(self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT])
-        cr.stroke()
-
-        cr.set_source_rgba(*self.label_color)
-        self.context.set_font_size( 1.2 * self.font_size )
-        if self.titles[HORZ]:
-            title_width,title_height = cr.text_extents(self.titles[HORZ])[2:4]
-            cr.move_to( self.dimensions[HORZ]/2 - title_width/2, self.borders[VERT] - title_height/2 )
-            cr.show_text( self.titles[HORZ] )
-
-        if self.titles[VERT]:
-            title_width,title_height = cr.text_extents(self.titles[VERT])[2:4]
-            cr.move_to( self.dimensions[HORZ] - self.borders[HORZ] + title_height/2, self.dimensions[VERT]/2 - title_width/2)
-            cr.save()
-            cr.rotate( math.pi/2 )
-            cr.show_text( self.titles[VERT] )
-            cr.restore()
-
-    def render_grid(self):
-        cr = self.context
-        horizontal_step = float( self.plot_height ) / ( len( self.labels[VERT] ) - 1 )
-        vertical_step = float( self.plot_width ) / ( len( self.labels[HORZ] ) - 1 )
-
-        x = self.borders[HORZ] + vertical_step
-        y = self.plot_top - horizontal_step
-
-        for label in self.labels[HORZ][:-1]:
-            cr.set_source_rgba(*self.grid_color)
-            cr.move_to(x, self.dimensions[VERT] - self.borders[VERT])
-            cr.line_to(x, self.borders[VERT])
-            cr.stroke()
-            x += vertical_step
-        for label in self.labels[VERT][:-1]:
-            cr.set_source_rgba(*self.grid_color)
-            cr.move_to(self.borders[HORZ], y)
-            cr.line_to(self.dimensions[HORZ] - self.borders[HORZ], y)
-            cr.stroke()
-            y -= horizontal_step
-
-    def render_labels(self):
-        self.context.set_font_size(self.font_size * 0.8)
-        self.render_horz_labels()
-        self.render_vert_labels()
-
-    def render_horz_labels(self):
-        cr = self.context
-        step = float( self.plot_width ) / ( len( self.labels[HORZ] ) - 1 )
-        x = self.borders[HORZ]
-        y = self.dimensions[VERT] - self.borders[VERT] + 5
-
-        # store rotation matrix from the initial state
-        rotation_matrix = cr.get_matrix()
-        rotation_matrix.rotate(self.x_label_angle)
-
-        cr.set_source_rgba(*self.label_color)
-
-        for item in self.labels[HORZ]:
-            width = cr.text_extents(item)[2]
-            cr.move_to(x, y)
-            cr.save()
-            cr.set_matrix(rotation_matrix)
-            cr.show_text(item)
-            cr.restore()
-            x += step
-
-    def render_vert_labels(self):
-        cr = self.context
-        step = ( self.plot_height ) / ( len( self.labels[VERT] ) - 1 )
-        y = self.plot_top
-        cr.set_source_rgba(*self.label_color)
-        for item in self.labels[VERT]:
-            width = cr.text_extents(item)[2]
-            cr.move_to(self.borders[HORZ] - width - 5,y)
-            cr.show_text(item)
-            y -= step
-
-    def render_legend(self):
-        cr = self.context
-        cr.set_font_size(self.font_size)
-        cr.set_line_width(self.line_width)
-
-        widest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[2])
-        tallest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[3])
-        max_width = self.context.text_extents(widest_word)[2]
-        max_height = self.context.text_extents(tallest_word)[3] * 1.1
-
-        color_box_height = max_height / 2
-        color_box_width = color_box_height * 2
-
-        #Draw a bounding box
-        bounding_box_width = max_width + color_box_width + 15
-        bounding_box_height = (len(self.series_labels)+0.5) * max_height
-        cr.set_source_rgba(1,1,1)
-        cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - bounding_box_width, self.borders[VERT],
-                            bounding_box_width, bounding_box_height)
-        cr.fill()
-
-        cr.set_source_rgba(*self.line_color)
-        cr.set_line_width(self.line_width)
-        cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - bounding_box_width, self.borders[VERT],
-                            bounding_box_width, bounding_box_height)
-        cr.stroke()
-
-        for idx,key in enumerate(self.series_labels):
-            #Draw color box
-            cr.set_source_rgba(*self.series_colors[idx][:4])
-            cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - max_width - color_box_width - 10,
-                                self.borders[VERT] + color_box_height + (idx*max_height) ,
-                                color_box_width, color_box_height)
-            cr.fill()
-
-            cr.set_source_rgba(0, 0, 0)
-            cr.rectangle(self.dimensions[HORZ] - self.borders[HORZ] - max_width - color_box_width - 10,
-                                self.borders[VERT] + color_box_height + (idx*max_height),
-                                color_box_width, color_box_height)
-            cr.stroke()
-
-            #Draw series labels
-            cr.set_source_rgba(0, 0, 0)
-            cr.move_to(self.dimensions[HORZ] - self.borders[HORZ] - max_width - 5, self.borders[VERT] + ((idx+1)*max_height))
-            cr.show_text(key)
-
-    def render_errors(self):
-        cr = self.context
-        cr.rectangle(self.borders[HORZ], self.borders[VERT], self.plot_width, self.plot_height)
-        cr.clip()
-        radius = self.dots
-        x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step
-        y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step
-        for index, group in enumerate(self.series):
-            cr.set_source_rgba(*self.series_colors[index][:4])
-            for number, data in enumerate(group):
-                x = x0 + self.horizontal_step * data.content[0]
-                y = self.dimensions[VERT] - y0 - self.vertical_step * data.content[1]
-                if self.errors[HORZ]:
-                    cr.move_to(x, y)
-                    x1 = x - self.horizontal_step * self.errors[HORZ][0][number]
-                    cr.line_to(x1, y)
-                    cr.line_to(x1, y - radius)
-                    cr.line_to(x1, y + radius)
-                    cr.stroke()
-                if self.errors[HORZ] and len(self.errors[HORZ]) == 2:
-                    cr.move_to(x, y)
-                    x1 = x + self.horizontal_step * self.errors[HORZ][1][number]
-                    cr.line_to(x1, y)
-                    cr.line_to(x1, y - radius)
-                    cr.line_to(x1, y + radius)
-                    cr.stroke()
-                if self.errors[VERT]:
-                    cr.move_to(x, y)
-                    y1 = y + self.vertical_step   * self.errors[VERT][0][number]
-                    cr.line_to(x, y1)
-                    cr.line_to(x - radius, y1)
-                    cr.line_to(x + radius, y1)
-                    cr.stroke()
-                if self.errors[VERT] and len(self.errors[VERT]) == 2:
-                    cr.move_to(x, y)
-                    y1 = y - self.vertical_step   * self.errors[VERT][1][number]
-                    cr.line_to(x, y1)
-                    cr.line_to(x - radius, y1)
-                    cr.line_to(x + radius, y1)
-                    cr.stroke()
-
-
-    def render_plot(self):
-        cr = self.context
-        if self.discrete:
-            cr.rectangle(self.borders[HORZ], self.borders[VERT], self.plot_width, self.plot_height)
-            cr.clip()
-            x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step
-            y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step
-            radius = self.dots
-            for number, group in  enumerate (self.series):
-                cr.set_source_rgba(*self.series_colors[number][:4])
-                for data in group :
-                    if self.variable_radius:
-                        radius = data.content[2]*self.z_step
-                        if self.circle_colors:
-                            cr.set_source_rgba( *self.get_circle_color( data.content[2]) )
-                    x = x0 + self.horizontal_step*data.content[0]
-                    y = y0 + self.vertical_step*data.content[1]
-                    cr.arc(x, self.dimensions[VERT] - y, radius, 0, 2*math.pi)
-                    cr.fill()
-        else:
-            cr.rectangle(self.borders[HORZ], self.borders[VERT], self.plot_width, self.plot_height)
-            cr.clip()
-            x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step
-            y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step
-            radius = self.dots
-            for number, group in  enumerate (self.series):
-                last_data = None
-                cr.set_source_rgba(*self.series_colors[number][:4])
-                for data in group :
-                    x = x0 + self.horizontal_step*data.content[0]
-                    y = y0 + self.vertical_step*data.content[1]
-                    if self.dots:
-                        if self.variable_radius:
-                            radius = data.content[2]*self.z_step
-                        cr.arc(x, self.dimensions[VERT] - y, radius, 0, 2*math.pi)
-                        cr.fill()
-                    if last_data :
-                        old_x = x0 + self.horizontal_step*last_data.content[0]
-                        old_y = y0 + self.vertical_step*last_data.content[1]
-                        cr.move_to( old_x, self.dimensions[VERT] - old_y )
-                        cr.line_to( x, self.dimensions[VERT] - y)
-                        cr.set_line_width(self.series_widths[number])
-
-                        # Display line as dash line
-                        if self.dash and self.dash[number]:
-                            s = self.series_widths[number]
-                            cr.set_dash([s*3, s*3], 0)
-
-                        cr.stroke()
-                        cr.set_dash([])
-                    last_data = data
-
-class DotLinePlot(ScatterPlot):
-    def __init__(self,
-                 surface=None,
-                 data=None,
-                 width=640,
-                 height=480,
-                 background=None,
-                 border=0,
-                 axis = False,
-                 dash = False,
-                 dots = 0,
-                 grid = False,
-                 series_legend = False,
-                 x_labels = None,
-                 y_labels = None,
-                 x_bounds = None,
-                 y_bounds = None,
-                 x_title  = None,
-                 y_title  = None,
-                 series_colors = None):
-
-        ScatterPlot.__init__(self, surface, data, None, None, width, height, background, border,
-                             axis, dash, False, dots, grid, series_legend, x_labels, y_labels,
-                             x_bounds, y_bounds, None, x_title, y_title, series_colors, None )
-
-
-    def load_series(self, data, x_labels = None, y_labels = None, series_colors=None):
-        Plot.load_series(self, data, x_labels, y_labels, series_colors)
-        for group in self.series :
-            for index,data in enumerate(group):
-                group[index].content = (index, data.content)
-
-        self.calc_boundaries()
-        self.calc_labels()
-
-class FunctionPlot(ScatterPlot):
-    def __init__(self,
-                 surface=None,
-                 data=None,
-                 width=640,
-                 height=480,
-                 background=None,
-                 border=0,
-                 axis = False,
-                 discrete = False,
-                 dots = 0,
-                 grid = False,
-                 series_legend = False,
-                 x_labels = None,
-                 y_labels = None,
-                 x_bounds = None,
-                 y_bounds = None,
-                 x_title  = None,
-                 y_title  = None,
-                 series_colors = None,
-                 step = 1):
-
-        self.function = data
-        self.step = step
-        self.discrete = discrete
-
-        data, x_bounds = self.load_series_from_function( self.function, x_bounds )
-
-        ScatterPlot.__init__(self, surface, data, None, None, width, height, background, border,
-                             axis, False, discrete, dots, grid, series_legend, x_labels, y_labels,
-                             x_bounds, y_bounds, None, x_title, y_title, series_colors, None )
-
-    def load_series(self, data, x_labels = None, y_labels = None, series_colors=None):
-        Plot.load_series(self, data, x_labels, y_labels, series_colors)
-
-        if len(self.series[0][0]) is 1:
-            for group_id, group in enumerate(self.series) :
-                for index,data in enumerate(group):
-                    group[index].content = (self.bounds[HORZ][0] + self.step*index, data.content)
-
-        self.calc_boundaries()
-        self.calc_labels()
-
-    def load_series_from_function( self, function, x_bounds ):
-        #TODO: Add the possibility for the user to define multiple functions with different discretization parameters
-
-        #This function converts a function, a list of functions or a dictionary
-        #of functions into its corresponding array of data
-        series = Series()
-
-        if isinstance(function, Group) or isinstance(function, Data):
-            function = Series(function)
-
-        # If is instance of Series
-        if isinstance(function, Series):
-            # Overwrite any bounds passed by the function
-            x_bounds = (function.range[0],function.range[-1])
-
-        #if no bounds are provided
-        if x_bounds == None:
-            x_bounds = (0,10)
-
-
-        #TODO: Finish the dict translation
-        if hasattr(function, "keys"): #dictionary:
-            for key in function.keys():
-                group = Group(name=key)
-                #data[ key ] = []
-                i = x_bounds[0]
-                while i <= x_bounds[1] :
-                    group.add_data(function[ key ](i))
-                    #data[ key ].append( function[ key ](i) )
-                    i += self.step
-                series.add_group(group)
-
-        elif hasattr(function, "__delitem__"): #list of functions
-            for index,f in enumerate( function ) :
-                group = Group()
-                #data.append( [] )
-                i = x_bounds[0]
-                while i <= x_bounds[1] :
-                    group.add_data(f(i))
-                    #data[ index ].append( f(i) )
-                    i += self.step
-                series.add_group(group)
-
-        elif isinstance(function, Series): # instance of Series
-            series = function
-
-        else: #function
-            group = Group()
-            i = x_bounds[0]
-            while i <= x_bounds[1] :
-                group.add_data(function(i))
-                i += self.step
-            series.add_group(group)
-
-
-        return series, x_bounds
-
-    def calc_labels(self):
-        if not self.labels[HORZ]:
-            self.labels[HORZ] = []
-            i = self.bounds[HORZ][0]
-            while i<=self.bounds[HORZ][1]:
-                self.labels[HORZ].append(str(i))
-                i += float(self.bounds[HORZ][1] - self.bounds[HORZ][0])/10
-        ScatterPlot.calc_labels(self)
-
-    def render_plot(self):
-        if not self.discrete:
-            ScatterPlot.render_plot(self)
-        else:
-            last = None
-            cr = self.context
-            for number, group in  enumerate (self.series):
-                cr.set_source_rgba(*self.series_colors[number][:4])
-                x0 = self.borders[HORZ] - self.bounds[HORZ][0]*self.horizontal_step
-                y0 = self.borders[VERT] - self.bounds[VERT][0]*self.vertical_step
-                for data in group:
-                    x = x0 + self.horizontal_step * data.content[0]
-                    y = y0 + self.vertical_step   * data.content[1]
-                    cr.move_to(x, self.dimensions[VERT] - y)
-                    cr.line_to(x, self.plot_top)
-                    cr.set_line_width(self.series_widths[number])
-                    cr.stroke()
-                    if self.dots:
-                        cr.new_path()
-                        cr.arc(x, self.dimensions[VERT] - y, 3, 0, 2.1 * math.pi)
-                        cr.close_path()
-                        cr.fill()
-
-class BarPlot(Plot):
-    def __init__(self,
-                 surface = None,
-                 data = None,
-                 width = 640,
-                 height = 480,
-                 background = "white light_gray",
-                 border = 0,
-                 display_values = False,
-                 grid = False,
-                 rounded_corners = False,
-                 stack = False,
-                 three_dimension = False,
-                 x_labels = None,
-                 y_labels = None,
-                 x_bounds = None,
-                 y_bounds = None,
-                 series_colors = None,
-                 main_dir = None):
-
-        self.bounds = {}
-        self.bounds[HORZ] = x_bounds
-        self.bounds[VERT] = y_bounds
-        self.display_values = display_values
-        self.grid = grid
-        self.rounded_corners = rounded_corners
-        self.stack = stack
-        self.three_dimension = three_dimension
-        self.x_label_angle = math.pi / 2.5
-        self.main_dir = main_dir
-        self.max_value = {}
-        self.plot_dimensions = {}
-        self.steps = {}
-        self.value_label_color = (0.5,0.5,0.5,1.0)
-
-        Plot.__init__(self, surface, data, width, height, background, border, x_labels, y_labels, series_colors)
-
-    def load_series(self, data, x_labels = None, y_labels = None, series_colors = None):
-        Plot.load_series(self, data, x_labels, y_labels, series_colors)
-        self.calc_boundaries()
-
-    def process_colors(self, series_colors):
-        #Data for a BarPlot might be a List or a List of Lists.
-        #On the first case, colors must be generated for all bars,
-        #On the second, colors must be generated for each of the inner lists.
-
-        #TODO: Didn't get it...
-        #if hasattr(self.data[0], '__getitem__'):
-        #    length = max(len(series) for series in self.data)
-        #else:
-        #    length = len( self.data )
-
-        length = max(len(group) for group in self.series)
-
-        Plot.process_colors( self, series_colors, length, 'linear')
-
-    def calc_boundaries(self):
-        if not self.bounds[self.main_dir]:
-            if self.stack:
-                max_data_value = max(sum(group.to_list()) for group in self.series)
-            else:
-                max_data_value = max(max(group.to_list()) for group in self.series)
-            self.bounds[self.main_dir] = (0, max_data_value)
-        if not self.bounds[other_direction(self.main_dir)]:
-            self.bounds[other_direction(self.main_dir)] = (0, len(self.series))
-
-    def calc_extents(self, direction):
-        self.max_value[direction] = 0
-        if self.labels[direction]:
-            widest_word = max(self.labels[direction], key = lambda item: self.context.text_extents(item)[2])
-            self.max_value[direction] = self.context.text_extents(widest_word)[3 - direction]
-            self.borders[other_direction(direction)] = (2-direction)*self.max_value[direction] + self.border + direction*(5)
-        else:
-            self.borders[other_direction(direction)] = self.border
-
-    def calc_horz_extents(self):
-        self.calc_extents(HORZ)
-
-    def calc_vert_extents(self):
-        self.calc_extents(VERT)
-
-    def calc_all_extents(self):
-        self.calc_horz_extents()
-        self.calc_vert_extents()
-        other_dir = other_direction(self.main_dir)
-        self.value_label = 0
-        if self.display_values:
-            if self.stack:
-                self.value_label = self.context.text_extents(str(max(sum(group.to_list()) for group in self.series)))[2 + self.main_dir]
-            else:
-                self.value_label = self.context.text_extents(str(max(max(group.to_list()) for group in self.series)))[2 + self.main_dir]
-        if self.labels[self.main_dir]:
-            self.plot_dimensions[self.main_dir] = self.dimensions[self.main_dir] - 2*self.borders[self.main_dir] - self.value_label
-        else:
-            self.plot_dimensions[self.main_dir] = self.dimensions[self.main_dir] - self.borders[self.main_dir] - 1.2*self.border - self.value_label
-        self.plot_dimensions[other_dir] = self.dimensions[other_dir] - self.borders[other_dir] - self.border
-        self.plot_top = self.dimensions[VERT] - self.borders[VERT]
-
-    def calc_steps(self):
-        other_dir = other_direction(self.main_dir)
-        self.series_amplitude = self.bounds[self.main_dir][1] - self.bounds[self.main_dir][0]
-        if self.series_amplitude:
-            self.steps[self.main_dir] = float(self.plot_dimensions[self.main_dir])/self.series_amplitude
-        else:
-            self.steps[self.main_dir] = 0.00
-        series_length = len(self.series)
-        self.steps[other_dir] = float(self.plot_dimensions[other_dir])/(series_length + 0.1*(series_length + 1))
-        self.space = 0.1*self.steps[other_dir]
-
-    def render(self):
-        self.calc_all_extents()
-        self.calc_steps()
-        self.render_background()
-        self.render_bounding_box()
-        if self.grid:
-            self.render_grid()
-        if self.three_dimension:
-            self.render_ground()
-        if self.display_values:
-            self.render_values()
-        self.render_labels()
-        self.render_plot()
-        if self.series_labels:
-            self.render_legend()
-
-    def draw_3d_rectangle_front(self, x0, y0, x1, y1, shift):
-        self.context.rectangle(x0-shift, y0+shift, x1-x0, y1-y0)
-
-    def draw_3d_rectangle_side(self, x0, y0, x1, y1, shift):
-        self.context.move_to(x1-shift,y0+shift)
-        self.context.line_to(x1, y0)
-        self.context.line_to(x1, y1)
-        self.context.line_to(x1-shift, y1+shift)
-        self.context.line_to(x1-shift, y0+shift)
-        self.context.close_path()
-
-    def draw_3d_rectangle_top(self, x0, y0, x1, y1, shift):
-        self.context.move_to(x0-shift,y0+shift)
-        self.context.line_to(x0, y0)
-        self.context.line_to(x1, y0)
-        self.context.line_to(x1-shift, y0+shift)
-        self.context.line_to(x0-shift, y0+shift)
-        self.context.close_path()
-
-    def draw_round_rectangle(self, x0, y0, x1, y1):
-        self.context.arc(x0+5, y0+5, 5, -math.pi, -math.pi/2)
-        self.context.line_to(x1-5, y0)
-        self.context.arc(x1-5, y0+5, 5, -math.pi/2, 0)
-        self.context.line_to(x1, y1-5)
-        self.context.arc(x1-5, y1-5, 5, 0, math.pi/2)
-        self.context.line_to(x0+5, y1)
-        self.context.arc(x0+5, y1-5, 5, math.pi/2, math.pi)
-        self.context.line_to(x0, y0+5)
-        self.context.close_path()
-
-    def render_ground(self):
-        self.draw_3d_rectangle_front(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
-                                     self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
-        self.context.fill()
-
-        self.draw_3d_rectangle_side (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
-                                     self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
-        self.context.fill()
-
-        self.draw_3d_rectangle_top  (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
-                                     self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
-        self.context.fill()
-
-    def render_labels(self):
-        self.context.set_font_size(self.font_size * 0.8)
-        if self.labels[HORZ]:
-            self.render_horz_labels()
-        if self.labels[VERT]:
-            self.render_vert_labels()
-
-    def render_legend(self):
-        cr = self.context
-        cr.set_font_size(self.font_size)
-        cr.set_line_width(self.line_width)
-
-        widest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[2])
-        tallest_word = max(self.series_labels, key = lambda item: self.context.text_extents(item)[3])
-        max_width = self.context.text_extents(widest_word)[2]
-        max_height = self.context.text_extents(tallest_word)[3] * 1.1 + 5
-
-        color_box_height = max_height / 2
-        color_box_width = color_box_height * 2
-
-        #Draw a bounding box
-        bounding_box_width = max_width + color_box_width + 15
-        bounding_box_height = (len(self.series_labels)+0.5) * max_height
-        cr.set_source_rgba(1,1,1)
-        cr.rectangle(self.dimensions[HORZ] - self.border - bounding_box_width, self.border,
-                            bounding_box_width, bounding_box_height)
-        cr.fill()
-
-        cr.set_source_rgba(*self.line_color)
-        cr.set_line_width(self.line_width)
-        cr.rectangle(self.dimensions[HORZ] - self.border - bounding_box_width, self.border,
-                            bounding_box_width, bounding_box_height)
-        cr.stroke()
-
-        for idx,key in enumerate(self.series_labels):
-            #Draw color box
-            cr.set_source_rgba(*self.series_colors[idx][:4])
-            cr.rectangle(self.dimensions[HORZ] - self.border - max_width - color_box_width - 10,
-                                self.border + color_box_height + (idx*max_height) ,
-                                color_box_width, color_box_height)
-            cr.fill()
-
-            cr.set_source_rgba(0, 0, 0)
-            cr.rectangle(self.dimensions[HORZ] - self.border - max_width - color_box_width - 10,
-                                self.border + color_box_height + (idx*max_height),
-                                color_box_width, color_box_height)
-            cr.stroke()
-
-            #Draw series labels
-            cr.set_source_rgba(0, 0, 0)
-            cr.move_to(self.dimensions[HORZ] - self.border - max_width - 5, self.border + ((idx+1)*max_height))
-            cr.show_text(key)
-
-
-class HorizontalBarPlot(BarPlot):
-    def __init__(self,
-                 surface = None,
-                 data = None,
-                 width = 640,
-                 height = 480,
-                 background = "white light_gray",
-                 border = 0,
-                 display_values = False,
-                 grid = False,
-                 rounded_corners = False,
-                 stack = False,
-                 three_dimension = False,
-                 series_labels = None,
-                 x_labels = None,
-                 y_labels = None,
-                 x_bounds = None,
-                 y_bounds = None,
-                 series_colors = None):
-
-        BarPlot.__init__(self, surface, data, width, height, background, border,
-                         display_values, grid, rounded_corners, stack, three_dimension,
-                         x_labels, y_labels, x_bounds, y_bounds, series_colors, HORZ)
-        self.series_labels = series_labels
-
-    def calc_vert_extents(self):
-        self.calc_extents(VERT)
-        if self.labels[HORZ] and not self.labels[VERT]:
-            self.borders[HORZ] += 10
-
-    def draw_rectangle_bottom(self, x0, y0, x1, y1):
-        self.context.arc(x0+5, y1-5, 5, math.pi/2, math.pi)
-        self.context.line_to(x0, y0+5)
-        self.context.arc(x0+5, y0+5, 5, -math.pi, -math.pi/2)
-        self.context.line_to(x1, y0)
-        self.context.line_to(x1, y1)
-        self.context.line_to(x0+5, y1)
-        self.context.close_path()
-
-    def draw_rectangle_top(self, x0, y0, x1, y1):
-        self.context.arc(x1-5, y0+5, 5, -math.pi/2, 0)
-        self.context.line_to(x1, y1-5)
-        self.context.arc(x1-5, y1-5, 5, 0, math.pi/2)
-        self.context.line_to(x0, y1)
-        self.context.line_to(x0, y0)
-        self.context.line_to(x1, y0)
-        self.context.close_path()
-
-    def draw_rectangle(self, index, length, x0, y0, x1, y1):
-        if length == 1:
-            BarPlot.draw_rectangle(self, x0, y0, x1, y1)
-        elif index == 0:
-            self.draw_rectangle_bottom(x0, y0, x1, y1)
-        elif index == length-1:
-            self.draw_rectangle_top(x0, y0, x1, y1)
-        else:
-            self.context.rectangle(x0, y0, x1-x0, y1-y0)
-
-    #TODO: Review BarPlot.render_grid code
-    def render_grid(self):
-        self.context.set_source_rgba(0.8, 0.8, 0.8)
-        if self.labels[HORZ]:
-            self.context.set_font_size(self.font_size * 0.8)
-            step = (self.dimensions[HORZ] - 2*self.borders[HORZ] - self.value_label)/(len(self.labels[HORZ])-1)
-            x = self.borders[HORZ]
-            next_x = 0
-            for item in self.labels[HORZ]:
-                width = self.context.text_extents(item)[2]
-                if x - width/2 > next_x and x - width/2 > self.border:
-                    self.context.move_to(x, self.border)
-                    self.context.line_to(x, self.dimensions[VERT] - self.borders[VERT])
-                    self.context.stroke()
-                    next_x = x + width/2
-                x += step
-        else:
-            lines = 11
-            horizontal_step = float(self.plot_dimensions[HORZ])/(lines-1)
-            x = self.borders[HORZ]
-            for y in xrange(0, lines):
-                self.context.move_to(x, self.border)
-                self.context.line_to(x, self.dimensions[VERT] - self.borders[VERT])
-                self.context.stroke()
-                x += horizontal_step
-
-    def render_horz_labels(self):
-        step = (self.dimensions[HORZ] - 2*self.borders[HORZ])/(len(self.labels[HORZ])-1)
-        x = self.borders[HORZ]
-        next_x = 0
-
-        for item in self.labels[HORZ]:
-            self.context.set_source_rgba(*self.label_color)
-            width = self.context.text_extents(item)[2]
-            if x - width/2 > next_x and x - width/2 > self.border:
-                self.context.move_to(x - width/2, self.dimensions[VERT] - self.borders[VERT] + self.max_value[HORZ] + 3)
-                self.context.show_text(item)
-                next_x = x + width/2
-            x += step
-
-    def render_vert_labels(self):
-        series_length = len(self.labels[VERT])
-        step = (self.plot_dimensions[VERT] - (series_length + 1)*self.space)/(len(self.labels[VERT]))
-        y = self.border + step/2 + self.space
-
-        for item in self.labels[VERT]:
-            self.context.set_source_rgba(*self.label_color)
-            width, height = self.context.text_extents(item)[2:4]
-            self.context.move_to(self.borders[HORZ] - width - 5, y + height/2)
-            self.context.show_text(item)
-            y += step + self.space
-        self.labels[VERT].reverse()
-
-    def render_values(self):
-        self.context.set_source_rgba(*self.value_label_color)
-        self.context.set_font_size(self.font_size * 0.8)
-        if self.stack:
-            for i,group in enumerate(self.series):
-                value = sum(group.to_list())
-                height = self.context.text_extents(str(value))[3]
-                x = self.borders[HORZ] + value*self.steps[HORZ] + 2
-                y = self.borders[VERT] + (i+0.5)*self.steps[VERT] + (i+1)*self.space + height/2
-                self.context.move_to(x, y)
-                self.context.show_text(str(value))
-        else:
-            for i,group in enumerate(self.series):
-                inner_step = self.steps[VERT]/len(group)
-                y0 = self.border + i*self.steps[VERT] + (i+1)*self.space
-                for number,data in enumerate(group):
-                    height = self.context.text_extents(str(data.content))[3]
-                    self.context.move_to(self.borders[HORZ] + data.content*self.steps[HORZ] + 2, y0 + 0.5*inner_step + height/2, )
-                    self.context.show_text(str(data.content))
-                    y0 += inner_step
-
-    def render_plot(self):
-        if self.stack:
-            for i,group in enumerate(self.series):
-                x0 = self.borders[HORZ]
-                y0 = self.borders[VERT] + i*self.steps[VERT] + (i+1)*self.space
-                for number,data in enumerate(group):
-                    if self.series_colors[number][4] in ('radial','linear') :
-                        linear = cairo.LinearGradient( data.content*self.steps[HORZ]/2, y0, data.content*self.steps[HORZ]/2, y0 + self.steps[VERT] )
-                        color = self.series_colors[number]
-                        linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
-                        linear.add_color_stop_rgba(1.0, *color[:4])
-                        self.context.set_source(linear)
-                    elif self.series_colors[number][4] == 'solid':
-                        self.context.set_source_rgba(*self.series_colors[number][:4])
-                    if self.rounded_corners:
-                        self.draw_rectangle(number, len(group), x0, y0, x0+data.content*self.steps[HORZ], y0+self.steps[VERT])
-                        self.context.fill()
-                    else:
-                        self.context.rectangle(x0, y0, data.content*self.steps[HORZ], self.steps[VERT])
-                        self.context.fill()
-                    x0 += data.content*self.steps[HORZ]
-        else:
-            for i,group in enumerate(self.series):
-                inner_step = self.steps[VERT]/len(group)
-                x0 = self.borders[HORZ]
-                y0 = self.border + i*self.steps[VERT] + (i+1)*self.space
-                for number,data in enumerate(group):
-                    linear = cairo.LinearGradient(data.content*self.steps[HORZ]/2, y0, data.content*self.steps[HORZ]/2, y0 + inner_step)
-                    color = self.series_colors[number]
-                    linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
-                    linear.add_color_stop_rgba(1.0, *color[:4])
-                    self.context.set_source(linear)
-                    if self.rounded_corners and data.content != 0:
-                        BarPlot.draw_round_rectangle(self,x0, y0, x0 + data.content*self.steps[HORZ], y0 + inner_step)
-                        self.context.fill()
-                    else:
-                        self.context.rectangle(x0, y0, data.content*self.steps[HORZ], inner_step)
-                        self.context.fill()
-                    y0 += inner_step
-
-class VerticalBarPlot(BarPlot):
-    def __init__(self,
-                 surface = None,
-                 data = None,
-                 width = 640,
-                 height = 480,
-                 background = "white light_gray",
-                 border = 0,
-                 display_values = False,
-                 grid = False,
-                 rounded_corners = False,
-                 stack = False,
-                 three_dimension = False,
-                 series_labels = None,
-                 x_labels = None,
-                 y_labels = None,
-                 x_bounds = None,
-                 y_bounds = None,
-                 series_colors = None):
-
-        BarPlot.__init__(self, surface, data, width, height, background, border,
-                         display_values, grid, rounded_corners, stack, three_dimension,
-                         x_labels, y_labels, x_bounds, y_bounds, series_colors, VERT)
-        self.series_labels = series_labels
-
-    def calc_vert_extents(self):
-        self.calc_extents(VERT)
-        if self.labels[VERT] and not self.labels[HORZ]:
-            self.borders[VERT] += 10
-
-    def draw_rectangle_bottom(self, x0, y0, x1, y1):
-        self.context.move_to(x1,y1)
-        self.context.arc(x1-5, y1-5, 5, 0, math.pi/2)
-        self.context.line_to(x0+5, y1)
-        self.context.arc(x0+5, y1-5, 5, math.pi/2, math.pi)
-        self.context.line_to(x0, y0)
-        self.context.line_to(x1, y0)
-        self.context.line_to(x1, y1)
-        self.context.close_path()
-
-    def draw_rectangle_top(self, x0, y0, x1, y1):
-        self.context.arc(x0+5, y0+5, 5, -math.pi, -math.pi/2)
-        self.context.line_to(x1-5, y0)
-        self.context.arc(x1-5, y0+5, 5, -math.pi/2, 0)
-        self.context.line_to(x1, y1)
-        self.context.line_to(x0, y1)
-        self.context.line_to(x0, y0)
-        self.context.close_path()
-
-    def draw_rectangle(self, index, length, x0, y0, x1, y1):
-        if length == 1:
-            BarPlot.draw_rectangle(self, x0, y0, x1, y1)
-        elif index == 0:
-            self.draw_rectangle_bottom(x0, y0, x1, y1)
-        elif index == length-1:
-            self.draw_rectangle_top(x0, y0, x1, y1)
-        else:
-            self.context.rectangle(x0, y0, x1-x0, y1-y0)
-
-    def render_grid(self):
-        self.context.set_source_rgba(0.8, 0.8, 0.8)
-        if self.labels[VERT]:
-            lines = len(self.labels[VERT])
-            vertical_step = float(self.plot_dimensions[self.main_dir])/(lines-1)
-            y = self.borders[VERT] + self.value_label
-        else:
-            lines = 11
-            vertical_step = float(self.plot_dimensions[self.main_dir])/(lines-1)
-            y = 1.2*self.border + self.value_label
-        for x in xrange(0, lines):
-            self.context.move_to(self.borders[HORZ], y)
-            self.context.line_to(self.dimensions[HORZ] - self.border, y)
-            self.context.stroke()
-            y += vertical_step
-
-    def render_ground(self):
-        self.draw_3d_rectangle_front(self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
-                                     self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
-        self.context.fill()
-
-        self.draw_3d_rectangle_side (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
-                                     self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
-        self.context.fill()
-
-        self.draw_3d_rectangle_top  (self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT],
-                                     self.dimensions[HORZ] - self.borders[HORZ], self.dimensions[VERT] - self.borders[VERT] + 5, 10)
-        self.context.fill()
-
-    def render_horz_labels(self):
-        series_length = len(self.labels[HORZ])
-        step = float (self.plot_dimensions[HORZ] - (series_length + 1)*self.space)/len(self.labels[HORZ])
-        x = self.borders[HORZ] + step/2 + self.space
-        next_x = 0
-
-        for item in self.labels[HORZ]:
-            self.context.set_source_rgba(*self.label_color)
-            width = self.context.text_extents(item)[2]
-            if x - width/2 > next_x and x - width/2 > self.borders[HORZ]:
-                self.context.move_to(x - width/2, self.dimensions[VERT] - self.borders[VERT] + self.max_value[HORZ] + 3)
-                self.context.show_text(item)
-                next_x = x + width/2
-            x += step + self.space
-
-    def render_vert_labels(self):
-        self.context.set_source_rgba(*self.label_color)
-        y = self.borders[VERT] + self.value_label
-        step = (self.dimensions[VERT] - 2*self.borders[VERT] - self.value_label)/(len(self.labels[VERT]) - 1)
-        self.labels[VERT].reverse()
-        for item in self.labels[VERT]:
-            width, height = self.context.text_extents(item)[2:4]
-            self.context.move_to(self.borders[HORZ] - width - 5, y + height/2)
-            self.context.show_text(item)
-            y += step
-        self.labels[VERT].reverse()
-
-    def render_values(self):
-        self.context.set_source_rgba(*self.value_label_color)
-        self.context.set_font_size(self.font_size * 0.8)
-        if self.stack:
-            for i,group in enumerate(self.series):
-                value = sum(group.to_list())
-                width = self.context.text_extents(str(value))[2]
-                x = self.borders[HORZ] + (i+0.5)*self.steps[HORZ] + (i+1)*self.space - width/2
-                y = value*self.steps[VERT] + 2
-                self.context.move_to(x, self.plot_top-y)
-                self.context.show_text(str(value))
-        else:
-            for i,group in enumerate(self.series):
-                inner_step = self.steps[HORZ]/len(group)
-                x0 = self.borders[HORZ] + i*self.steps[HORZ] + (i+1)*self.space
-                for number,data in enumerate(group):
-                    width = self.context.text_extents(str(data.content))[2]
-                    self.context.move_to(x0 + 0.5*inner_step - width/2, self.plot_top - data.content*self.steps[VERT] - 2)
-                    self.context.show_text(str(data.content))
-                    x0 += inner_step
-
-    def render_plot(self):
-        if self.stack:
-            for i,group in enumerate(self.series):
-                x0 = self.borders[HORZ] + i*self.steps[HORZ] + (i+1)*self.space
-                y0 = 0
-                for number,data in enumerate(group):
-                    if self.series_colors[number][4] in ('linear','radial'):
-                        linear = cairo.LinearGradient( x0, data.content*self.steps[VERT]/2, x0 + self.steps[HORZ], data.content*self.steps[VERT]/2 )
-                        color = self.series_colors[number]
-                        linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
-                        linear.add_color_stop_rgba(1.0, *color[:4])
-                        self.context.set_source(linear)
-                    elif self.series_colors[number][4] == 'solid':
-                        self.context.set_source_rgba(*self.series_colors[number][:4])
-                    if self.rounded_corners:
-                        self.draw_rectangle(number, len(group), x0, self.plot_top - y0 - data.content*self.steps[VERT], x0 + self.steps[HORZ], self.plot_top - y0)
-                        self.context.fill()
-                    else:
-                        self.context.rectangle(x0, self.plot_top - y0 - data.content*self.steps[VERT], self.steps[HORZ], data.content*self.steps[VERT])
-                        self.context.fill()
-                    y0 += data.content*self.steps[VERT]
-        else:
-            for i,group in enumerate(self.series):
-                inner_step = self.steps[HORZ]/len(group)
-                y0 = self.borders[VERT]
-                x0 = self.borders[HORZ] + i*self.steps[HORZ] + (i+1)*self.space
-                for number,data in enumerate(group):
-                    if self.series_colors[number][4] == 'linear':
-                        linear = cairo.LinearGradient( x0, data.content*self.steps[VERT]/2, x0 + inner_step, data.content*self.steps[VERT]/2 )
-                        color = self.series_colors[number]
-                        linear.add_color_stop_rgba(0.0, 3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
-                        linear.add_color_stop_rgba(1.0, *color[:4])
-                        self.context.set_source(linear)
-                    elif self.series_colors[number][4] == 'solid':
-                        self.context.set_source_rgba(*self.series_colors[number][:4])
-                    if self.rounded_corners and data.content != 0:
-                        BarPlot.draw_round_rectangle(self, x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top)
-                        self.context.fill()
-                    elif self.three_dimension:
-                        self.draw_3d_rectangle_front(x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top, 5)
-                        self.context.fill()
-                        self.draw_3d_rectangle_side(x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top, 5)
-                        self.context.fill()
-                        self.draw_3d_rectangle_top(x0, self.plot_top - data.content*self.steps[VERT], x0+inner_step, self.plot_top, 5)
-                        self.context.fill()
-                    else:
-                        self.context.rectangle(x0, self.plot_top - data.content*self.steps[VERT], inner_step, data.content*self.steps[VERT])
-                        self.context.fill()
-
-                    x0 += inner_step
-
-class StreamChart(VerticalBarPlot):
-    def __init__(self,
-                 surface = None,
-                 data = None,
-                 width = 640,
-                 height = 480,
-                 background = "white light_gray",
-                 border = 0,
-                 grid = False,
-                 series_legend = None,
-                 x_labels = None,
-                 x_bounds = None,
-                 y_bounds = None,
-                 series_colors = None):
-
-        VerticalBarPlot.__init__(self, surface, data, width, height, background, border,
-                                 False, grid, False, True, False,
-                                 None, x_labels, None, x_bounds, y_bounds, series_colors)
-
-    def calc_steps(self):
-        other_dir = other_direction(self.main_dir)
-        self.series_amplitude = self.bounds[self.main_dir][1] - self.bounds[self.main_dir][0]
-        if self.series_amplitude:
-            self.steps[self.main_dir] = float(self.plot_dimensions[self.main_dir])/self.series_amplitude
-        else:
-            self.steps[self.main_dir] = 0.00
-        series_length = len(self.data)
-        self.steps[other_dir] = float(self.plot_dimensions[other_dir])/series_length
-
-    def render_legend(self):
-        pass
-
-    def ground(self, index):
-        sum_values = sum(self.data[index])
-        return -0.5*sum_values
-
-    def calc_angles(self):
-        middle = self.plot_top - self.plot_dimensions[VERT]/2.0
-        self.angles = [tuple([0.0 for x in range(len(self.data)+1)])]
-        for x_index in range(1, len(self.data)-1):
-            t = []
-            x0 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ]
-            x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ]
-            y0 = middle - self.ground(x_index-1)*self.steps[VERT]
-            y2 = middle - self.ground(x_index+1)*self.steps[VERT]
-            t.append(math.atan(float(y0-y2)/(x0-x2)))
-            for data_index in range(len(self.data[x_index])):
-                x0 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ]
-                x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ]
-                y0 = middle - self.ground(x_index-1)*self.steps[VERT] - self.data[x_index-1][data_index]*self.steps[VERT]
-                y2 = middle - self.ground(x_index+1)*self.steps[VERT] - self.data[x_index+1][data_index]*self.steps[VERT]
-
-                for i in range(0,data_index):
-                    y0 -= self.data[x_index-1][i]*self.steps[VERT]
-                    y2 -= self.data[x_index+1][i]*self.steps[VERT]
-
-                if data_index == len(self.data[0])-1 and False:
-                    self.context.set_source_rgba(0.0,0.0,0.0,0.3)
-                    self.context.move_to(x0,y0)
-                    self.context.line_to(x2,y2)
-                    self.context.stroke()
-                    self.context.arc(x0,y0,2,0,2*math.pi)
-                    self.context.fill()
-                t.append(math.atan(float(y0-y2)/(x0-x2)))
-            self.angles.append(tuple(t))
-        self.angles.append(tuple([0.0 for x in range(len(self.data)+1)]))
-
-    def render_plot(self):
-        self.calc_angles()
-        middle = self.plot_top - self.plot_dimensions[VERT]/2.0
-        p = 0.4*self.steps[HORZ]
-        for data_index in range(len(self.data[0])-1,-1,-1):
-            self.context.set_source_rgba(*self.series_colors[data_index][:4])
-
-            #draw the upper line
-            for x_index in range(len(self.data)-1) :
-                x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ]
-                y1 = middle - self.ground(x_index)*self.steps[VERT] - self.data[x_index][data_index]*self.steps[VERT]
-                x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ]
-                y2 = middle - self.ground(x_index + 1)*self.steps[VERT] - self.data[x_index + 1][data_index]*self.steps[VERT]
-
-                for i in range(0,data_index):
-                    y1 -= self.data[x_index][i]*self.steps[VERT]
-                    y2 -= self.data[x_index+1][i]*self.steps[VERT]
-
-                if x_index == 0:
-                    self.context.move_to(x1,y1)
-
-                ang1 = self.angles[x_index][data_index+1]
-                ang2 = self.angles[x_index+1][data_index+1] + math.pi
-                self.context.curve_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1),
-                                      x2+p*math.cos(ang2),y2+p*math.sin(ang2),
-                                      x2,y2)
-
-            for x_index in range(len(self.data)-1,0,-1) :
-                x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ]
-                y1 = middle - self.ground(x_index)*self.steps[VERT]
-                x2 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ]
-                y2 = middle - self.ground(x_index - 1)*self.steps[VERT]
-
-                for i in range(0,data_index):
-                    y1 -= self.data[x_index][i]*self.steps[VERT]
-                    y2 -= self.data[x_index-1][i]*self.steps[VERT]
-
-                if x_index == len(self.data)-1:
-                    self.context.line_to(x1,y1+2)
-
-                #revert angles by pi degrees to take the turn back
-                ang1 = self.angles[x_index][data_index] + math.pi
-                ang2 = self.angles[x_index-1][data_index]
-                self.context.curve_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1),
-                                      x2+p*math.cos(ang2),y2+p*math.sin(ang2),
-                                      x2,y2+2)
-
-            self.context.close_path()
-            self.context.fill()
-
-            if False:
-                self.context.move_to(self.borders[HORZ] + 0.5*self.steps[HORZ], middle)
-                for x_index in range(len(self.data)-1) :
-                    x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ]
-                    y1 = middle - self.ground(x_index)*self.steps[VERT] - self.data[x_index][data_index]*self.steps[VERT]
-                    x2 = self.borders[HORZ] + (0.5 + x_index + 1)*self.steps[HORZ]
-                    y2 = middle - self.ground(x_index + 1)*self.steps[VERT] - self.data[x_index + 1][data_index]*self.steps[VERT]
-
-                    for i in range(0,data_index):
-                        y1 -= self.data[x_index][i]*self.steps[VERT]
-                        y2 -= self.data[x_index+1][i]*self.steps[VERT]
-
-                    ang1 = self.angles[x_index][data_index+1]
-                    ang2 = self.angles[x_index+1][data_index+1] + math.pi
-                    self.context.set_source_rgba(1.0,0.0,0.0)
-                    self.context.arc(x1+p*math.cos(ang1),y1+p*math.sin(ang1),2,0,2*math.pi)
-                    self.context.fill()
-                    self.context.set_source_rgba(0.0,0.0,0.0)
-                    self.context.arc(x2+p*math.cos(ang2),y2+p*math.sin(ang2),2,0,2*math.pi)
-                    self.context.fill()
-                    '''self.context.set_source_rgba(0.0,0.0,0.0,0.3)
-                    self.context.arc(x2,y2,2,0,2*math.pi)
-                    self.context.fill()'''
-                    self.context.move_to(x1,y1)
-                    self.context.line_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1))
-                    self.context.stroke()
-                    self.context.move_to(x2,y2)
-                    self.context.line_to(x2+p*math.cos(ang2),y2+p*math.sin(ang2))
-                    self.context.stroke()
-            if False:
-                for x_index in range(len(self.data)-1,0,-1) :
-                    x1 = self.borders[HORZ] + (0.5 + x_index)*self.steps[HORZ]
-                    y1 = middle - self.ground(x_index)*self.steps[VERT]
-                    x2 = self.borders[HORZ] + (0.5 + x_index - 1)*self.steps[HORZ]
-                    y2 = middle - self.ground(x_index - 1)*self.steps[VERT]
-
-                    for i in range(0,data_index):
-                        y1 -= self.data[x_index][i]*self.steps[VERT]
-                        y2 -= self.data[x_index-1][i]*self.steps[VERT]
-
-                    #revert angles by pi degrees to take the turn back
-                    ang1 = self.angles[x_index][data_index] + math.pi
-                    ang2 = self.angles[x_index-1][data_index]
-                    self.context.set_source_rgba(0.0,1.0,0.0)
-                    self.context.arc(x1+p*math.cos(ang1),y1+p*math.sin(ang1),2,0,2*math.pi)
-                    self.context.fill()
-                    self.context.set_source_rgba(0.0,0.0,1.0)
-                    self.context.arc(x2+p*math.cos(ang2),y2+p*math.sin(ang2),2,0,2*math.pi)
-                    self.context.fill()
-                    '''self.context.set_source_rgba(0.0,0.0,0.0,0.3)
-                    self.context.arc(x2,y2,2,0,2*math.pi)
-                    self.context.fill()'''
-                    self.context.move_to(x1,y1)
-                    self.context.line_to(x1+p*math.cos(ang1),y1+p*math.sin(ang1))
-                    self.context.stroke()
-                    self.context.move_to(x2,y2)
-                    self.context.line_to(x2+p*math.cos(ang2),y2+p*math.sin(ang2))
-                    self.context.stroke()
-            #break
-
-            #self.context.arc(self.dimensions[HORZ]/2, self.dimensions[VERT]/2,50,0,3*math.pi/2)
-            #self.context.fill()
-
-
-class PiePlot(Plot):
-    #TODO: Check the old cairoplot, graphs aren't matching
-    def __init__ (self,
-            surface = None,
-            data = None,
-            width = 640,
-            height = 480,
-            background = "white light_gray",
-            gradient = False,
-            shadow = False,
-            colors = None):
-
-        Plot.__init__( self, surface, data, width, height, background, series_colors = colors )
-        self.center = (self.dimensions[HORZ]/2, self.dimensions[VERT]/2)
-        self.total = sum( self.series.to_list() )
-        self.radius = min(self.dimensions[HORZ]/3,self.dimensions[VERT]/3)
-        self.gradient = gradient
-        self.shadow = shadow
-
-    def sort_function(x,y):
-        return x.content - y.content
-
-    def load_series(self, data, x_labels=None, y_labels=None, series_colors=None):
-        Plot.load_series(self, data, x_labels, y_labels, series_colors)
-        # Already done inside series
-        #self.data = sorted(self.data)
-
-    def draw_piece(self, angle, next_angle):
-        self.context.move_to(self.center[0],self.center[1])
-        self.context.line_to(self.center[0] + self.radius*math.cos(angle), self.center[1] + self.radius*math.sin(angle))
-        self.context.arc(self.center[0], self.center[1], self.radius, angle, next_angle)
-        self.context.line_to(self.center[0], self.center[1])
-        self.context.close_path()
-
-    def render(self):
-        self.render_background()
-        self.render_bounding_box()
-        if self.shadow:
-            self.render_shadow()
-        self.render_plot()
-        self.render_series_labels()
-
-    def render_shadow(self):
-        horizontal_shift = 3
-        vertical_shift = 3
-        self.context.set_source_rgba(0, 0, 0, 0.5)
-        self.context.arc(self.center[0] + horizontal_shift, self.center[1] + vertical_shift, self.radius, 0, 2*math.pi)
-        self.context.fill()
-
-    def render_series_labels(self):
-        angle = 0
-        next_angle = 0
-        x0,y0 = self.center
-        cr = self.context
-        for number,key in enumerate(self.series_labels):
-            # self.data[number] should be just a number
-            data = sum(self.series[number].to_list())
-
-            next_angle = angle + 2.0*math.pi*data/self.total
-            cr.set_source_rgba(*self.series_colors[number][:4])
-            w = cr.text_extents(key)[2]
-            if (angle + next_angle)/2 < math.pi/2 or (angle + next_angle)/2 > 3*math.pi/2:
-                cr.move_to(x0 + (self.radius+10)*math.cos((angle+next_angle)/2), y0 + (self.radius+10)*math.sin((angle+next_angle)/2) )
-            else:
-                cr.move_to(x0 + (self.radius+10)*math.cos((angle+next_angle)/2) - w, y0 + (self.radius+10)*math.sin((angle+next_angle)/2) )
-            cr.show_text(key)
-            angle = next_angle
-
-    def render_plot(self):
-        angle = 0
-        next_angle = 0
-        x0,y0 = self.center
-        cr = self.context
-        for number,group in enumerate(self.series):
-            # Group should be just a number
-            data = sum(group.to_list())
-            next_angle = angle + 2.0*math.pi*data/self.total
-            if self.gradient or self.series_colors[number][4] in ('linear','radial'):
-                gradient_color = cairo.RadialGradient(self.center[0], self.center[1], 0, self.center[0], self.center[1], self.radius)
-                gradient_color.add_color_stop_rgba(0.3, *self.series_colors[number][:4])
-                gradient_color.add_color_stop_rgba(1, self.series_colors[number][0]*0.7,
-                                                      self.series_colors[number][1]*0.7,
-                                                      self.series_colors[number][2]*0.7,
-                                                      self.series_colors[number][3])
-                cr.set_source(gradient_color)
-            else:
-                cr.set_source_rgba(*self.series_colors[number][:4])
-
-            self.draw_piece(angle, next_angle)
-            cr.fill()
-
-            cr.set_source_rgba(1.0, 1.0, 1.0)
-            self.draw_piece(angle, next_angle)
-            cr.stroke()
-
-            angle = next_angle
-
-class DonutPlot(PiePlot):
-    def __init__ (self,
-            surface = None,
-            data = None,
-            width = 640,
-            height = 480,
-            background = "white light_gray",
-            gradient = False,
-            shadow = False,
-            colors = None,
-            inner_radius=-1):
-
-        Plot.__init__( self, surface, data, width, height, background, series_colors = colors )
-
-        self.center = ( self.dimensions[HORZ]/2, self.dimensions[VERT]/2 )
-        self.total = sum( self.series.to_list() )
-        self.radius = min( self.dimensions[HORZ]/3,self.dimensions[VERT]/3 )
-        self.inner_radius = inner_radius*self.radius
-
-        if inner_radius == -1:
-            self.inner_radius = self.radius/3
-
-        self.gradient = gradient
-        self.shadow = shadow
-
-    def draw_piece(self, angle, next_angle):
-        self.context.move_to(self.center[0] + (self.inner_radius)*math.cos(angle), self.center[1] + (self.inner_radius)*math.sin(angle))
-        self.context.line_to(self.center[0] + self.radius*math.cos(angle), self.center[1] + self.radius*math.sin(angle))
-        self.context.arc(self.center[0], self.center[1], self.radius, angle, next_angle)
-        self.context.line_to(self.center[0] + (self.inner_radius)*math.cos(next_angle), self.center[1] + (self.inner_radius)*math.sin(next_angle))
-        self.context.arc_negative(self.center[0], self.center[1], self.inner_radius, next_angle, angle)
-        self.context.close_path()
-
-    def render_shadow(self):
-        horizontal_shift = 3
-        vertical_shift = 3
-        self.context.set_source_rgba(0, 0, 0, 0.5)
-        self.context.arc(self.center[0] + horizontal_shift, self.center[1] + vertical_shift, self.inner_radius, 0, 2*math.pi)
-        self.context.arc_negative(self.center[0] + horizontal_shift, self.center[1] + vertical_shift, self.radius, 0, -2*math.pi)
-        self.context.fill()
-
-class GanttChart (Plot) :
-    def __init__(self,
-                 surface = None,
-                 data = None,
-                 width = 640,
-                 height = 480,
-                 x_labels = None,
-                 y_labels = None,
-                 colors = None):
-        self.bounds = {}
-        self.max_value = {}
-        Plot.__init__(self, surface, data, width, height,  x_labels = x_labels, y_labels = y_labels, series_colors = colors)
-
-    def load_series(self, data, x_labels=None, y_labels=None, series_colors=None):
-        Plot.load_series(self, data, x_labels, y_labels, series_colors)
-        self.calc_boundaries()
-
-    def calc_boundaries(self):
-        self.bounds[HORZ] = (0,len(self.series))
-        end_pos = max(self.series.to_list())
-
-        #for group in self.series:
-        #    if hasattr(item, "__delitem__"):
-        #        for sub_item in item:
-        #            end_pos = max(sub_item)
-        #    else:
-        #        end_pos = max(item)
-        self.bounds[VERT] = (0,end_pos)
-
-    def calc_extents(self, direction):
-        self.max_value[direction] = 0
-        if self.labels[direction]:
-            self.max_value[direction] = max(self.context.text_extents(item)[2] for item in self.labels[direction])
-        else:
-            self.max_value[direction] = self.context.text_extents( str(self.bounds[direction][1] + 1) )[2]
-
-    def calc_horz_extents(self):
-        self.calc_extents(HORZ)
-        self.borders[HORZ] = 100 + self.max_value[HORZ]
-
-    def calc_vert_extents(self):
-        self.calc_extents(VERT)
-        self.borders[VERT] = self.dimensions[VERT]/(self.bounds[HORZ][1] + 1)
-
-    def calc_steps(self):
-        self.horizontal_step = (self.dimensions[HORZ] - self.borders[HORZ])/(len(self.labels[VERT]))
-        self.vertical_step = self.borders[VERT]
-
-    def render(self):
-        self.calc_horz_extents()
-        self.calc_vert_extents()
-        self.calc_steps()
-        self.render_background()
-
-        self.render_labels()
-        self.render_grid()
-        self.render_plot()
-
-    def render_background(self):
-        cr = self.context
-        cr.set_source_rgba(255,255,255)
-        cr.rectangle(0,0,self.dimensions[HORZ], self.dimensions[VERT])
-        cr.fill()
-        for number,group in enumerate(self.series):
-            linear = cairo.LinearGradient(self.dimensions[HORZ]/2, self.borders[VERT] + number*self.vertical_step,
-                                          self.dimensions[HORZ]/2, self.borders[VERT] + (number+1)*self.vertical_step)
-            linear.add_color_stop_rgba(0,1.0,1.0,1.0,1.0)
-            linear.add_color_stop_rgba(1.0,0.9,0.9,0.9,1.0)
-            cr.set_source(linear)
-            cr.rectangle(0,self.borders[VERT] + number*self.vertical_step,self.dimensions[HORZ],self.vertical_step)
-            cr.fill()
-
-    def render_grid(self):
-        cr = self.context
-        cr.set_source_rgba(0.7, 0.7, 0.7)
-        cr.set_dash((1,0,0,0,0,0,1))
-        cr.set_line_width(0.5)
-        for number,label in enumerate(self.labels[VERT]):
-            h = cr.text_extents(label)[3]
-            cr.move_to(self.borders[HORZ] + number*self.horizontal_step, self.vertical_step/2 + h)
-            cr.line_to(self.borders[HORZ] + number*self.horizontal_step, self.dimensions[VERT])
-        cr.stroke()
-
-    def render_labels(self):
-        self.context.set_font_size(0.02 * self.dimensions[HORZ])
-
-        self.render_horz_labels()
-        self.render_vert_labels()
-
-    def render_horz_labels(self):
-        cr = self.context
-        labels = self.labels[HORZ]
-        if not labels:
-            labels = [str(i) for i in range(1, self.bounds[HORZ][1] + 1)  ]
-        for number,label in enumerate(labels):
-            if label != None:
-                cr.set_source_rgba(0.5, 0.5, 0.5)
-                w,h = cr.text_extents(label)[2], cr.text_extents(label)[3]
-                cr.move_to(40,self.borders[VERT] + number*self.vertical_step + self.vertical_step/2 + h/2)
-                cr.show_text(label)
-
-    def render_vert_labels(self):
-        cr = self.context
-        labels = self.labels[VERT]
-        if not labels:
-            labels = [str(i) for i in range(1, self.bounds[VERT][1] + 1)  ]
-        for number,label in enumerate(labels):
-            w,h = cr.text_extents(label)[2], cr.text_extents(label)[3]
-            cr.move_to(self.borders[HORZ] + number*self.horizontal_step - w/2, self.vertical_step/2)
-            cr.show_text(label)
-
-    def render_rectangle(self, x0, y0, x1, y1, color):
-        self.draw_shadow(x0, y0, x1, y1)
-        self.draw_rectangle(x0, y0, x1, y1, color)
-
-    def draw_rectangular_shadow(self, gradient, x0, y0, w, h):
-        self.context.set_source(gradient)
-        self.context.rectangle(x0,y0,w,h)
-        self.context.fill()
-
-    def draw_circular_shadow(self, x, y, radius, ang_start, ang_end, mult, shadow):
-        gradient = cairo.RadialGradient(x, y, 0, x, y, 2*radius)
-        gradient.add_color_stop_rgba(0, 0, 0, 0, shadow)
-        gradient.add_color_stop_rgba(1, 0, 0, 0, 0)
-        self.context.set_source(gradient)
-        self.context.move_to(x,y)
-        self.context.line_to(x + mult[0]*radius,y + mult[1]*radius)
-        self.context.arc(x, y, 8, ang_start, ang_end)
-        self.context.line_to(x,y)
-        self.context.close_path()
-        self.context.fill()
-
-    def draw_rectangle(self, x0, y0, x1, y1, color):
-        cr = self.context
-        middle = (x0+x1)/2
-        linear = cairo.LinearGradient(middle,y0,middle,y1)
-        linear.add_color_stop_rgba(0,3.5*color[0]/5.0, 3.5*color[1]/5.0, 3.5*color[2]/5.0,1.0)
-        linear.add_color_stop_rgba(1,*color[:4])
-        cr.set_source(linear)
-
-        cr.arc(x0+5, y0+5, 5, 0, 2*math.pi)
-        cr.arc(x1-5, y0+5, 5, 0, 2*math.pi)
-        cr.arc(x0+5, y1-5, 5, 0, 2*math.pi)
-        cr.arc(x1-5, y1-5, 5, 0, 2*math.pi)
-        cr.rectangle(x0+5,y0,x1-x0-10,y1-y0)
-        cr.rectangle(x0,y0+5,x1-x0,y1-y0-10)
-        cr.fill()
-
-    def draw_shadow(self, x0, y0, x1, y1):
-        shadow = 0.4
-        h_mid = (x0+x1)/2
-        v_mid = (y0+y1)/2
-        h_linear_1 = cairo.LinearGradient(h_mid,y0-4,h_mid,y0+4)
-        h_linear_2 = cairo.LinearGradient(h_mid,y1-4,h_mid,y1+4)
-        v_linear_1 = cairo.LinearGradient(x0-4,v_mid,x0+4,v_mid)
-        v_linear_2 = cairo.LinearGradient(x1-4,v_mid,x1+4,v_mid)
-
-        h_linear_1.add_color_stop_rgba( 0, 0, 0, 0, 0)
-        h_linear_1.add_color_stop_rgba( 1, 0, 0, 0, shadow)
-        h_linear_2.add_color_stop_rgba( 0, 0, 0, 0, shadow)
-        h_linear_2.add_color_stop_rgba( 1, 0, 0, 0, 0)
-        v_linear_1.add_color_stop_rgba( 0, 0, 0, 0, 0)
-        v_linear_1.add_color_stop_rgba( 1, 0, 0, 0, shadow)
-        v_linear_2.add_color_stop_rgba( 0, 0, 0, 0, shadow)
-        v_linear_2.add_color_stop_rgba( 1, 0, 0, 0, 0)
-
-        self.draw_rectangular_shadow(h_linear_1,x0+4,y0-4,x1-x0-8,8)
-        self.draw_rectangular_shadow(h_linear_2,x0+4,y1-4,x1-x0-8,8)
-        self.draw_rectangular_shadow(v_linear_1,x0-4,y0+4,8,y1-y0-8)
-        self.draw_rectangular_shadow(v_linear_2,x1-4,y0+4,8,y1-y0-8)
-
-        self.draw_circular_shadow(x0+4, y0+4, 4, math.pi, 3*math.pi/2, (-1,0), shadow)
-        self.draw_circular_shadow(x1-4, y0+4, 4, 3*math.pi/2, 2*math.pi, (0,-1), shadow)
-        self.draw_circular_shadow(x0+4, y1-4, 4, math.pi/2, math.pi, (0,1), shadow)
-        self.draw_circular_shadow(x1-4, y1-4, 4, 0, math.pi/2, (1,0), shadow)
-
-    def render_plot(self):
-        for index,group in enumerate(self.series):
-            for data in group:
-                self.render_rectangle(self.borders[HORZ] + data.content[0]*self.horizontal_step,
-                                      self.borders[VERT] + index*self.vertical_step + self.vertical_step/4.0,
-                                      self.borders[HORZ] + data.content[1]*self.horizontal_step,
-                                      self.borders[VERT] + index*self.vertical_step + 3.0*self.vertical_step/4.0,
-                                      self.series_colors[index])
-
-# Function definition
-
-def scatter_plot(name,
-                 data   = None,
-                 errorx = None,
-                 errory = None,
-                 width  = 640,
-                 height = 480,
-                 background = "white light_gray",
-                 border = 0,
-                 axis = False,
-                 dash = False,
-                 discrete = False,
-                 dots = False,
-                 grid = False,
-                 series_legend = False,
-                 x_labels = None,
-                 y_labels = None,
-                 x_bounds = None,
-                 y_bounds = None,
-                 z_bounds = None,
-                 x_title  = None,
-                 y_title  = None,
-                 series_colors = None,
-                 circle_colors = None):
-
-    '''
-        - Function to plot scatter data.
-
-        - Parameters
-
-        data - The values to be ploted might be passed in a two basic:
-               list of points:       [(0,0), (0,1), (0,2)] or [(0,0,1), (0,1,4), (0,2,1)]
-               lists of coordinates: [ [0,0,0] , [0,1,2] ] or [ [0,0,0] , [0,1,2] , [1,4,1] ]
-               Notice that these kinds of that can be grouped in order to form more complex data
-               using lists of lists or dictionaries;
-        series_colors - Define color values for each of the series
-        circle_colors - Define a lower and an upper bound for the circle colors for variable radius
-                        (3 dimensions) series
-    '''
-
-    plot = ScatterPlot( name, data, errorx, errory, width, height, background, border,
-                        axis, dash, discrete, dots, grid, series_legend, x_labels, y_labels,
-                        x_bounds, y_bounds, z_bounds, x_title, y_title, series_colors, circle_colors )
-    plot.render()
-    plot.commit()
-
-def dot_line_plot(name,
-                  data,
-                  width,
-                  height,
-                  background = "white light_gray",
-                  border = 0,
-                  axis = False,
-                  dash = False,
-                  dots = False,
-                  grid = False,
-                  series_legend = False,
-                  x_labels = None,
-                  y_labels = None,
-                  x_bounds = None,
-                  y_bounds = None,
-                  x_title  = None,
-                  y_title  = None,
-                  series_colors = None):
-    '''
-        - Function to plot graphics using dots and lines.
-
-        dot_line_plot (name, data, width, height, background = "white light_gray", border = 0, axis = False, grid = False, x_labels = None, y_labels = None, x_bounds = None, y_bounds = None)
-
-        - Parameters
-
-        name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
-        data - The list, list of lists or dictionary holding the data to be plotted;
-        width, height - Dimensions of the output image;
-        background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
-                     If left None, a gray to white gradient will be generated;
-        border - Distance in pixels of a square border into which the graphics will be drawn;
-        axis - Whether or not the axis are to be drawn;
-        dash - Boolean or a list or a dictionary of booleans indicating whether or not the associated series should be drawn in dashed mode;
-        dots - Whether or not dots should be drawn on each point;
-        grid - Whether or not the gris is to be drawn;
-        series_legend - Whether or not the legend is to be drawn;
-        x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis;
-        x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted;
-        x_title - Whether or not to plot a title over the x axis.
-        y_title - Whether or not to plot a title over the y axis.
-
-        - Examples of use
-
-        data = [0, 1, 3, 8, 9, 0, 10, 10, 2, 1]
-        CairoPlot.dot_line_plot('teste', data, 400, 300)
-
-        data = { "john" : [10, 10, 10, 10, 30], "mary" : [0, 0, 3, 5, 15], "philip" : [13, 32, 11, 25, 2] }
-        x_labels = ["jan/2008", "feb/2008", "mar/2008", "apr/2008", "may/2008" ]
-        CairoPlot.dot_line_plot( 'test', data, 400, 300, axis = True, grid = True,
-                                  series_legend = True, x_labels = x_labels )
-    '''
-    plot = DotLinePlot( name, data, width, height, background, border,
-                        axis, dash, dots, grid, series_legend, x_labels, y_labels,
-                        x_bounds, y_bounds, x_title, y_title, series_colors )
-    plot.render()
-    plot.commit()
-
-def function_plot(name,
-                  data,
-                  width,
-                  height,
-                  background = "white light_gray",
-                  border = 0,
-                  axis = True,
-                  dots = False,
-                  discrete = False,
-                  grid = False,
-                  series_legend = False,
-                  x_labels = None,
-                  y_labels = None,
-                  x_bounds = None,
-                  y_bounds = None,
-                  x_title  = None,
-                  y_title  = None,
-                  series_colors = None,
-                  step = 1):
-
-    '''
-        - Function to plot functions.
-
-        function_plot(name, data, width, height, background = "white light_gray", border = 0, axis = True, grid = False, dots = False, x_labels = None, y_labels = None, x_bounds = None, y_bounds = None, step = 1, discrete = False)
-
-        - Parameters
-
-        name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
-        data - The list, list of lists or dictionary holding the data to be plotted;
-        width, height - Dimensions of the output image;
-        background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
-                     If left None, a gray to white gradient will be generated;
-        border - Distance in pixels of a square border into which the graphics will be drawn;
-        axis - Whether or not the axis are to be drawn;
-        grid - Whether or not the gris is to be drawn;
-        dots - Whether or not dots should be shown at each point;
-        x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis;
-        x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted;
-        step - the horizontal distance from one point to the other. The smaller, the smoother the curve will be;
-        discrete - whether or not the function should be plotted in discrete format.
-
-        - Example of use
-
-        data = lambda x : x**2
-        CairoPlot.function_plot('function4', data, 400, 300, grid = True, x_bounds=(-10,10), step = 0.1)
-    '''
-
-    plot = FunctionPlot( name, data, width, height, background, border,
-                         axis, discrete, dots, grid, series_legend, x_labels, y_labels,
-                         x_bounds, y_bounds, x_title, y_title, series_colors, step )
-    plot.render()
-    plot.commit()
-
-def pie_plot( name, data, width, height, background = "white light_gray", gradient = False, shadow = False, colors = None ):
-
-    '''
-        - Function to plot pie graphics.
-
-        pie_plot(name, data, width, height, background = "white light_gray", gradient = False, colors = None)
-
-        - Parameters
-
-        name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
-        data - The list, list of lists or dictionary holding the data to be plotted;
-        width, height - Dimensions of the output image;
-        background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
-                     If left None, a gray to white gradient will be generated;
-        gradient - Whether or not the pie color will be painted with a gradient;
-        shadow - Whether or not there will be a shadow behind the pie;
-        colors - List of slices colors.
-
-        - Example of use
-
-        teste_data = {"john" : 123, "mary" : 489, "philip" : 890 , "suzy" : 235}
-        CairoPlot.pie_plot("pie_teste", teste_data, 500, 500)
-    '''
-
-    plot = PiePlot( name, data, width, height, background, gradient, shadow, colors )
-    plot.render()
-    plot.commit()
-
-def donut_plot(name, data, width, height, background = "white light_gray", gradient = False, shadow = False, colors = None, inner_radius = -1):
-
-    '''
-        - Function to plot donut graphics.
-
-        donut_plot(name, data, width, height, background = "white light_gray", gradient = False, inner_radius = -1)
-
-        - Parameters
-
-        name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
-        data - The list, list of lists or dictionary holding the data to be plotted;
-        width, height - Dimensions of the output image;
-        background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
-                     If left None, a gray to white gradient will be generated;
-        shadow - Whether or not there will be a shadow behind the donut;
-        gradient - Whether or not the donut color will be painted with a gradient;
-        colors - List of slices colors;
-        inner_radius - The radius of the donut's inner circle.
-
-        - Example of use
-
-        teste_data = {"john" : 123, "mary" : 489, "philip" : 890 , "suzy" : 235}
-        CairoPlot.donut_plot("donut_teste", teste_data, 500, 500)
-    '''
-
-    plot = DonutPlot(name, data, width, height, background, gradient, shadow, colors, inner_radius)
-    plot.render()
-    plot.commit()
-
-def gantt_chart(name, pieces, width, height, x_labels, y_labels, colors):
-
-    '''
-        - Function to generate Gantt Charts.
-
-        gantt_chart(name, pieces, width, height, x_labels, y_labels, colors):
-
-        - Parameters
-
-        name - Name of the desired output file, no need to input the .svg as it will be added at runtim;
-        pieces - A list defining the spaces to be drawn. The user must pass, for each line, the index of its start and the index of its end. If a line must have two or more spaces, they must be passed inside a list;
-        width, height - Dimensions of the output image;
-        x_labels - A list of names for each of the vertical lines;
-        y_labels - A list of names for each of the horizontal spaces;
-        colors - List containing the colors expected for each of the horizontal spaces
-
-        - Example of use
-
-        pieces = [ (0.5,5.5) , [(0,4),(6,8)] , (5.5,7) , (7,8)]
-        x_labels = [ 'teste01', 'teste02', 'teste03', 'teste04']
-        y_labels = [ '0001', '0002', '0003', '0004', '0005', '0006', '0007', '0008', '0009', '0010' ]
-        colors = [ (1.0, 0.0, 0.0), (1.0, 0.7, 0.0), (1.0, 1.0, 0.0), (0.0, 1.0, 0.0) ]
-        CairoPlot.gantt_chart('gantt_teste', pieces, 600, 300, x_labels, y_labels, colors)
-    '''
-
-    plot = GanttChart(name, pieces, width, height, x_labels, y_labels, colors)
-    plot.render()
-    plot.commit()
-
-def vertical_bar_plot(name,
-                      data,
-                      width,
-                      height,
-                      background = "white light_gray",
-                      border = 0,
-                      display_values = False,
-                      grid = False,
-                      rounded_corners = False,
-                      stack = False,
-                      three_dimension = False,
-                      series_labels = None,
-                      x_labels = None,
-                      y_labels = None,
-                      x_bounds = None,
-                      y_bounds = None,
-                      colors = None):
-    #TODO: Fix docstring for vertical_bar_plot
-    '''
-        - Function to generate vertical Bar Plot Charts.
-
-        bar_plot(name, data, width, height, background, border, grid, rounded_corners, three_dimension,
-                 x_labels, y_labels, x_bounds, y_bounds, colors):
-
-        - Parameters
-
-        name - Name of the desired output file, no need to input the .svg as it will be added at runtime;
-        data - The list, list of lists or dictionary holding the data to be plotted;
-        width, height - Dimensions of the output image;
-        background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
-                     If left None, a gray to white gradient will be generated;
-        border - Distance in pixels of a square border into which the graphics will be drawn;
-        grid - Whether or not the gris is to be drawn;
-        rounded_corners - Whether or not the bars should have rounded corners;
-        three_dimension - Whether or not the bars should be drawn in pseudo 3D;
-        x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis;
-        x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted;
-        colors - List containing the colors expected for each of the bars.
-
-        - Example of use
-
-        data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
-        CairoPlot.vertical_bar_plot ('bar2', data, 400, 300, border = 20, grid = True, rounded_corners = False)
-    '''
-
-    plot = VerticalBarPlot(name, data, width, height, background, border,
-                           display_values, grid, rounded_corners, stack, three_dimension,
-                           series_labels, x_labels, y_labels, x_bounds, y_bounds, colors)
-    plot.render()
-    plot.commit()
-
-def horizontal_bar_plot(name,
-                       data,
-                       width,
-                       height,
-                       background = "white light_gray",
-                       border = 0,
-                       display_values = False,
-                       grid = False,
-                       rounded_corners = False,
-                       stack = False,
-                       three_dimension = False,
-                       series_labels = None,
-                       x_labels = None,
-                       y_labels = None,
-                       x_bounds = None,
-                       y_bounds = None,
-                       colors = None):
-
-    #TODO: Fix docstring for horizontal_bar_plot
-    '''
-        - Function to generate Horizontal Bar Plot Charts.
-
-        bar_plot(name, data, width, height, background, border, grid, rounded_corners, three_dimension,
-                 x_labels, y_labels, x_bounds, y_bounds, colors):
-
-        - Parameters
-
-        name - Name of the desired output file, no need to input the .svg as it will be added at runtime;
-        data - The list, list of lists or dictionary holding the data to be plotted;
-        width, height - Dimensions of the output image;
-        background - A 3 element tuple representing the rgb color expected for the background or a new cairo linear gradient.
-                     If left None, a gray to white gradient will be generated;
-        border - Distance in pixels of a square border into which the graphics will be drawn;
-        grid - Whether or not the gris is to be drawn;
-        rounded_corners - Whether or not the bars should have rounded corners;
-        three_dimension - Whether or not the bars should be drawn in pseudo 3D;
-        x_labels, y_labels - lists of strings containing the horizontal and vertical labels for the axis;
-        x_bounds, y_bounds - tuples containing the lower and upper value bounds for the data to be plotted;
-        colors - List containing the colors expected for each of the bars.
-
-        - Example of use
-
-        data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
-        CairoPlot.bar_plot ('bar2', data, 400, 300, border = 20, grid = True, rounded_corners = False)
-    '''
-
-    plot = HorizontalBarPlot(name, data, width, height, background, border,
-                             display_values, grid, rounded_corners, stack, three_dimension,
-                             series_labels, x_labels, y_labels, x_bounds, y_bounds, colors)
-    plot.render()
-    plot.commit()
-
-def stream_chart(name,
-                 data,
-                 width,
-                 height,
-                 background = "white light_gray",
-                 border = 0,
-                 grid = False,
-                 series_legend = None,
-                 x_labels = None,
-                 x_bounds = None,
-                 y_bounds = None,
-                 colors = None):
-
-    #TODO: Fix docstring for horizontal_bar_plot
-    plot = StreamChart(name, data, width, height, background, border,
-                       grid, series_legend, x_labels, x_bounds, y_bounds, colors)
-    plot.render()
-    plot.commit()
-
-
-if __name__ == "__main__":
-    import tests
-    import seriestests
diff --git a/bindings/python/examples/python2/output_format_modules/pprint_table.py b/bindings/python/examples/python2/output_format_modules/pprint_table.py
deleted file mode 100644 (file)
index 3a63d62..0000000
+++ /dev/null
@@ -1,37 +0,0 @@
-# pprint_table.py
-#
-# This module is used to pretty-print a table
-# Adapted from
-# http://ginstrom.com/scribbles/2007/09/04/pretty-printing-a-table-in-python/
-
-import sys
-
-def get_max_width(table, index):
-       """Get the maximum width of the given column index"""
-
-       return max([len(str(row[index])) for row in table])
-
-
-def pprint_table(table, nbLeft=1, out=sys.stdout):
-       """
-       Prints out a table of data, padded for alignment
-       @param table: The table to print. A list of lists.
-       Each row must have the same number of columns.
-       @param nbLeft: The number of columns aligned left
-       @param out: Output stream (file-like object)
-       """
-
-       col_paddings = []
-
-       for i in range(len(table[0])):
-               col_paddings.append(get_max_width(table, i))
-
-       for row in table:
-               # left cols
-               for i in range(nbLeft):
-                       print >> out, str(row[i]).ljust(col_paddings[i] + 1),
-               # rest of the cols
-               for i in range(nbLeft, len(row)):
-                       col = str(row[i]).rjust(col_paddings[i] + 2)
-                       print >> out, col,
-               print >> out
diff --git a/bindings/python/examples/python2/output_format_modules/series.py b/bindings/python/examples/python2/output_format_modules/series.py
deleted file mode 100644 (file)
index 8e8b236..0000000
+++ /dev/null
@@ -1,1140 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-# Serie.py
-#
-# Copyright (c) 2008 Magnun Leno da Silva
-#
-# Author: Magnun Leno da Silva <magnun.leno@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()
diff --git a/bindings/python/examples/python2/softirqtimes.py b/bindings/python/examples/python2/softirqtimes.py
deleted file mode 100644 (file)
index 59905c1..0000000
+++ /dev/null
@@ -1,154 +0,0 @@
-#!/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"] )
diff --git a/bindings/python/examples/python2/syscalls_by_pid.py b/bindings/python/examples/python2/syscalls_by_pid.py
deleted file mode 100644 (file)
index cf1d581..0000000
+++ /dev/null
@@ -1,85 +0,0 @@
-#!/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)
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