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[Branch ~zeitgeist/zeitgeist/bluebird] Rev 352: Add benchmarking plotting tools

 

------------------------------------------------------------
revno: 352
committer: Seif Lotfy <seif@xxxxxxxxx>
branch nick: zeitgeist
timestamp: Thu 2011-12-22 14:37:31 +0100
message:
  Add benchmarking plotting tools
added:
  tools/
  tools/development/
  tools/development/README
  tools/development/benchmark.py
  tools/development/benchmark.svg
  tools/development/cairoplot.py
  tools/development/mem.json
  tools/development/query_sets/
  tools/development/query_sets/timerange_always.txt
  tools/development/query_sets/timerange_interval.txt
  tools/development/query_timings.py
  tools/development/series.py
  tools/development/trunk.json


--
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=== added directory 'tools'
=== added directory 'tools/development'
=== added file 'tools/development/README'
--- tools/development/README	1970-01-01 00:00:00 +0000
+++ tools/development/README	2011-12-22 13:37:31 +0000
@@ -0,0 +1,20 @@
+# USAGE
+#
+# To run the benchmarks on a certain branch of zeitgeist make sure you are
+# running and instance of the branch. Make sure the branch includes the benchmark
+# extension.
+# 
+# To benchmark and output timing to 'output.json' run
+#  ./query_timings.py -o output.json
+# If you already have data in the output file and want to merge both
+# data sets (build avg.) run
+#  ./query_timings.py -m -o output.json
+# To plot the data use the '--plot' argument, multible '--plot' arguments
+# will define multible series.
+#  ./query_timings.py --plot output.json --plot output1.json -o plot.svg
+# In short, a run always looks like:
+#  tools/development/query_timings.py --name "lp:zeitgeist" -o trunk.json \
+#       --queries tools/development/query_sets/timerange_always.txt
+#  tools/development/query_timings.py --name "lp:some-branch" -o somebranch.json \
+#       --queries tools/development/query_sets/timerange_always.txt
+#  tools/development/query_timings.py --plot somebranch.json --plot trunk.json -o benchmark.svg

=== added file 'tools/development/benchmark.py'
--- tools/development/benchmark.py	1970-01-01 00:00:00 +0000
+++ tools/development/benchmark.py	2011-12-22 13:37:31 +0000
@@ -0,0 +1,17 @@
+import dbus
+
+BUS_NAME = "org.gnome.zeitgeist.Engine"
+INTERFACE_NAME = "org.gnome.zeitgeist.Benchmark"
+OBJECT_PATH = "/org/gnome/zeitgeist/benchmark"
+ 
+bus = dbus.SessionBus()
+benchmark_obj = bus.get_object(BUS_NAME, OBJECT_PATH)
+benchmark_interface = dbus.Interface(benchmark_obj,
+    dbus_interface = INTERFACE_NAME)
+
+def find_events(time_frame, templates, storage_type, num_events, result_type):
+    return benchmark_interface.FindEvents(time_frame, templates, storage_type, 
+        num_events, result_type)
+        
+if __name__ == "__main__":
+    print find_events([0,9999999999990], [], 2, 20, 2).keys()

=== added file 'tools/development/benchmark.svg'
--- tools/development/benchmark.svg	1970-01-01 00:00:00 +0000
+++ tools/development/benchmark.svg	2011-12-22 13:37:31 +0000
@@ -0,0 +1,1069 @@
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=== added file 'tools/development/cairoplot.py'
--- tools/development/cairoplot.py	1970-01-01 00:00:00 +0000
+++ tools/development/cairoplot.py	2011-12-22 13:37:31 +0000
@@ -0,0 +1,2371 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+# CairoPlot.py
+#
+# Copyright (c) 2008 Rodrigo Moreira Araújo
+#
+# Author: Rodrigo Moreiro Araujo <alf.rodrigo@xxxxxxxxx>
+#         Markus Korn <thekorn@xxxxxx>
+#
+# 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
+
+# thekorn: added optional borders around vertical bars in VerticalBarPlot
+# thekorn: break long x-axis labels into two lines
+
+__version__ = 1.1
+
+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):
+        has_border = bool(getattr(self, "bar_borders", False))
+        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) + int(has_border) +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)
+            
+        if has_border:
+            idx += 1
+            
+            cr.set_source_rgba(1, 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("is not using index")
+            
+
+
+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 not(x - width/2 > next_x and x - width/2 > self.borders[HORZ]):
+                items = [item[:len(item)/2], item[len(item)/2:],]
+            else:
+                items = [item,]
+            for i, item in enumerate(items):
+                width = self.context.text_extents(item)[2]
+                height = self.context.text_extents(item)[3]
+                v_space = (len(items) - i - 1) * height
+                
+                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 - v_space + 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])
+                        if (i, number) in self.bar_borders:
+                            self.context.fill_preserve()
+                            self.context.set_source_rgb(1, 0, 0)
+                            self.context.stroke()
+                        else:
+                            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,
+                      bar_borders=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.bar_borders = bar_borders or list()
+    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

=== added file 'tools/development/mem.json'
--- tools/development/mem.json	1970-01-01 00:00:00 +0000
+++ tools/development/mem.json	2011-12-22 13:37:31 +0000
@@ -0,0 +1,59 @@
+{
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostPopularActor": {
+        "timing": 0.17168299999999997, 
+        "get_events_time": 0.0032532999999999998, 
+        "find_ids_time": 0.16842970000000002, 
+        "marsh_time": 0.0024945
+    }, 
+    "__metadata__": {
+        "name": "lp:zeitgeist-memory"
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentMimeType": {
+        "timing": 0.1691028, 
+        "get_events_time": 0.0033582, 
+        "find_ids_time": 0.16574459999999996, 
+        "marsh_time": 0.0025113
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentEvents": {
+        "timing": 0.2123602, 
+        "get_events_time": 0.0032072000000000003, 
+        "find_ids_time": 0.209153, 
+        "marsh_time": 0.0025028000000000003
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostPopularMimeType": {
+        "timing": 0.1712955, 
+        "get_events_time": 0.0033623999999999993, 
+        "find_ids_time": 0.1679331, 
+        "marsh_time": 0.0025434
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostPopularSubjects": {
+        "timing": 0.22785290000000002, 
+        "get_events_time": 0.0033703000000000006, 
+        "find_ids_time": 0.22448259999999998, 
+        "marsh_time": 0.0025088
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostPopularSubjectInterpretation": {
+        "timing": 0.14998140000000001, 
+        "get_events_time": 0.0009994000000000001, 
+        "find_ids_time": 0.148982, 
+        "marsh_time": 0.00059
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentSubjects": {
+        "timing": 0.22602740000000004, 
+        "get_events_time": 0.0032130000000000006, 
+        "find_ids_time": 0.2228144, 
+        "marsh_time": 0.0025402000000000003
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentActor": {
+        "timing": 0.1653678, 
+        "get_events_time": 0.0032834, 
+        "find_ids_time": 0.16208440000000002, 
+        "marsh_time": 0.0025987
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentSubjectInterpretation": {
+        "timing": 0.14442189999999996, 
+        "get_events_time": 0.000985, 
+        "find_ids_time": 0.14343689999999998, 
+        "marsh_time": 0.0006069000000000001
+    }
+}
\ No newline at end of file

=== added directory 'tools/development/query_sets'
=== added file 'tools/development/query_sets/timerange_always.txt'
--- tools/development/query_sets/timerange_always.txt	1970-01-01 00:00:00 +0000
+++ tools/development/query_sets/timerange_always.txt	2011-12-22 13:37:31 +0000
@@ -0,0 +1,9 @@
+TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentEvents
+TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentSubjects
+TimeRange.always(), [], StorageState.Any, 100, ResultType.MostPopularSubjects
+TimeRange.always(), [], StorageState.Any, 100, ResultType.MostPopularActor
+TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentActor
+TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentSubjectInterpretation
+TimeRange.always(), [], StorageState.Any, 100, ResultType.MostPopularSubjectInterpretation
+TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentMimeType
+TimeRange.always(), [], StorageState.Any, 100, ResultType.MostPopularMimeType

=== added file 'tools/development/query_sets/timerange_interval.txt'
--- tools/development/query_sets/timerange_interval.txt	1970-01-01 00:00:00 +0000
+++ tools/development/query_sets/timerange_interval.txt	2011-12-22 13:37:31 +0000
@@ -0,0 +1,9 @@
+(1, 60000), [], StorageState.Any, 6, ResultType.MostRecentEvents
+(1, 60000), [], StorageState.Any, 6, ResultType.MostRecentSubjects
+(1, 60000), [], StorageState.Any, 6, ResultType.MostPopularSubjects
+(1, 60000), [], StorageState.Any, 6, ResultType.MostPopularActor
+(1, 60000), [], StorageState.Any, 6, ResultType.MostRecentActor
+(1, 60000), [], StorageState.Any, 6, ResultType.MostRecentSubjectInterpretation
+(1, 60000), [], StorageState.Any, 6, ResultType.MostPopularSubjectInterpretation
+(1, 60000), [], StorageState.Any, 6, ResultType.MostRecentMimeType
+(1, 60000), [], StorageState.Any, 6, ResultType.MostPopularMimeType

=== added file 'tools/development/query_timings.py'
--- tools/development/query_timings.py	1970-01-01 00:00:00 +0000
+++ tools/development/query_timings.py	2011-12-22 13:37:31 +0000
@@ -0,0 +1,224 @@
+#! /usr/bin/env python
+# -.- coding: utf-8 -.-
+
+# Zeitgeist
+#
+# Copyright © 2010 Markus Korn <thekorn@xxxxxxx>
+#
+# 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 2.1 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 Lesser 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, see <http://www.gnu.org/licenses/>.
+
+# USAGE
+#
+# To run the benchmarks on a certain branch of zeitgeist make sure this
+# branch is in PYTHONPATH.
+# To benchmark and output timing to 'output.json' run
+#  ./query_timings.py -o output.json
+# If you already have data in the output file and want to merge both
+# data sets (build avg.) run
+#  ./query_timings.py -m -o output.json
+# To plot the data use the '--plot' argument, multible '--plot' arguments
+# will define multible series.
+#  ./query_timings.py --plot output.json --plot output1.json -o plot.svg
+# In short, a run always looks like:
+#  PYTHONPATH=../trunk tools/development/query_timings.py --name "lp:zeitgeist" -o trunk.json \
+#       --queries tools/development/query_sets/timerange_always.txt
+#  PYTHONPATH=. tools/development/query_timings.py --name "lp:some-branch" -o somebranch.json
+#  PYTHONPATH=. tools/development/query_timings.py --plot somebranch.json --plot trunk.json -o benchmark.svg
+
+import os
+import random
+import time
+import json
+import sys
+import logging
+
+from optparse import OptionParser
+from logging import handlers
+from collections import defaultdict
+
+from zeitgeist.datamodel import TimeRange, StorageState, ResultType
+from zeitgeist.datamodel import Event
+import benchmark as engine
+
+from cairoplot import vertical_bar_plot
+
+
+class QueryPlanHandler(handlers.MemoryHandler):
+    
+    @staticmethod
+    def get_plan(msg):
+        if "SELECT id FROM event_view" not in msg:
+            return None
+        msg = msg.splitlines()
+        if not "PLAN:" in msg:
+            return None
+        for plan in msg[msg.index("PLAN:")+1:]:
+            if "INDEX" not in plan and "PRIMARY KEY" not in plan:
+                return False
+        return True
+        
+    def __init__(self):
+        handlers.MemoryHandler.__init__(self, 200000, logging.DEBUG)
+        self.uses_index = None
+        
+    def emit(self, record):
+        x = self.get_plan(record.msg)
+        if x is not None:
+            if not x or self.uses_index is None:
+                self.uses_index = x
+        return handlers.MemoryHandler.emit(self, record)
+
+def get_reference_engine():
+    return engine
+    
+def get_query_set(source):
+    for line in open(source):
+        yield line.strip()
+
+def get_cmdline():
+    parser = OptionParser()
+    parser.add_option("-o", dest="output", help="write output to FILE", metavar="FILE")
+    parser.add_option("--queries", dest="queryset", help="run all queries in FILE", metavar="FILE")
+    parser.add_option("--name", dest="name", help="name of the data series", metavar="NAME")
+    parser.add_option("-i", dest="isolated", action="store_true",
+        default=False, help="run each query isolated")
+    parser.add_option("-m", dest="merge", action="store_true",
+        default=False, help="if the datafile already contains data the new data gets merged")
+    parser.add_option("--plot", dest="plot_files", metavar="DATA_FILE",
+        action="append", type="str")
+    (options, args) = parser.parse_args()
+    assert not args
+    return options
+    
+def get_name(data, alternative_name):
+    try:
+        return data["__metadata__"]["name"]
+    except:
+        return alternative_name
+        
+def get_data(dataset, query):
+    try:
+        return float(dataset[query]["timing"])
+    except:
+        return 0.0
+        
+def compare_queries(a, b):
+    result = cmp(a.strip().split()[-1], b.strip().split()[-1])
+    if result != 0:
+        return result
+    return cmp(a[0], b[0])
+    
+def plot(output_filename, *data_files):
+    raw_data = map(lambda x: json.load(open(x)), data_files)
+    series_labels = map(lambda x: get_name(x[1], data_files[x[0]]), enumerate(raw_data))
+    queries = sorted(
+        filter(lambda x: x != "__metadata__", set(sum([d.keys() for d in raw_data], []))),
+        cmp=compare_queries
+    )
+    data = []
+    max_value = 0
+    no_index = list()
+    for n, query in enumerate(queries):
+        x = [get_data(d, query) for d in raw_data]
+        y = max(x)
+        idx_border = [not d.get(query, {}).get("uses_index", True) for d in raw_data]
+        for i, b in enumerate(idx_border):
+            if b:
+                no_index.append((n, i))
+        if y > max_value:
+            max_value = y
+        data.append(x)
+    y_parts = max_value / float(4)
+    y_labels = ["%.2fs" %(i*y_parts) for i in range(5)]
+    vertical_bar_plot(
+        output_filename, data, len(queries)*400, 600,
+        x_labels=queries, y_labels=y_labels,
+        grid=True, series_labels=series_labels, bar_borders=no_index)
+    
+
+if __name__ == "__main__":
+    options = get_cmdline()
+    if options.plot_files:
+        assert options.output
+        plot(options.output, *options.plot_files)
+    else:
+        engine = get_reference_engine()
+        result = {}
+        if options.name:
+            result["__metadata__"] = {
+                "name": options.name,
+            }
+        if options.output and os.path.exists(options.output):
+            existing_data = json.load(open(options.output))
+        else:
+            existing_data = {}
+        logging.basicConfig(level=logging.DEBUG)
+        for query in get_query_set(options.queryset):
+            args = eval(query)
+            start_time = time.time()
+            logging.getLogger("").removeHandler(logging.getLogger("").handlers[0])
+            handler = QueryPlanHandler()
+            logging.getLogger("").addHandler(handler)
+            results = {}
+            for i in xrange (50):
+                temp = engine.find_events(*args)
+                if len(results.keys()) == 0:
+                    for key in results.keys():
+                        temp[key] = temp[key]
+                    results = temp
+                else:
+                    for key in temp.keys():
+                        if key != "events":
+                            results[key] += temp[key]
+                            print results[key]
+            
+            for key in temp.keys():
+                if key != "events":
+                    results[key] = results[key]/50
+            
+            events = results["events"]
+            run_time = results["find_events"]
+            find_ids_time = results["find_event_ids"]
+            get_events_time = results["get_events"]
+            marsh_time = results["marsh_events"]
+            
+            print "===>", find_ids_time 
+            
+            if query in existing_data and options.merge:
+                counter = existing_data[query].get("counter", 1)
+                old_time = existing_data[query]["timing"]
+                run_time = (old_time * counter + run_time)/(counter + 1)
+                
+                result[query] = {
+                    "timing": run_time,
+                    "counter": counter + 1,
+                    "find_ids_time": find_ids_time,
+                    "get_events_time": get_events_time,
+                    "marsh_time": marsh_time,
+                }
+            else:
+                result[query] = {
+                    "timing": run_time,
+                    "find_ids_time": find_ids_time,
+                    "get_events_time": get_events_time,
+                    "marsh_time": marsh_time,
+                }
+        if options.output:
+            f = open(options.output, "w")
+        else:
+            f = sys.stdout
+        try:
+            json.dump(result, f, indent=4)
+        finally:
+            f.close()

=== added file 'tools/development/series.py'
--- tools/development/series.py	1970-01-01 00:00:00 +0000
+++ tools/development/series.py	2011-12-22 13:37:31 +0000
@@ -0,0 +1,1140 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+# Serie.py
+#
+# Copyright (c) 2008 Magnun Leno da Silva
+#
+# Author: Magnun Leno da Silva <magnun.leno@xxxxxxxxx>
+#
+# 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@xxxxxxxxx>
+
+#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()

=== added file 'tools/development/trunk.json'
--- tools/development/trunk.json	1970-01-01 00:00:00 +0000
+++ tools/development/trunk.json	2011-12-22 13:37:31 +0000
@@ -0,0 +1,59 @@
+{
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostPopularActor": {
+        "timing": 0.17457650000000002, 
+        "get_events_time": 0.0032689999999999998, 
+        "find_ids_time": 0.1713075, 
+        "marsh_time": 0.0018525999999999998
+    }, 
+    "__metadata__": {
+        "name": "lp:zeitgeist"
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentMimeType": {
+        "timing": 0.16809190000000002, 
+        "get_events_time": 0.0032752999999999997, 
+        "find_ids_time": 0.1648166, 
+        "marsh_time": 0.0018357999999999998
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentEvents": {
+        "timing": 0.20337619999999998, 
+        "get_events_time": 0.0031623, 
+        "find_ids_time": 0.2002139, 
+        "marsh_time": 0.0017786000000000004
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostPopularMimeType": {
+        "timing": 0.1717176, 
+        "get_events_time": 0.0032943, 
+        "find_ids_time": 0.1684233, 
+        "marsh_time": 0.0018047999999999999
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostPopularSubjects": {
+        "timing": 0.22871190000000002, 
+        "get_events_time": 0.0034279000000000002, 
+        "find_ids_time": 0.22528399999999998, 
+        "marsh_time": 0.0017723000000000003
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostPopularSubjectInterpretation": {
+        "timing": 0.14935969999999998, 
+        "get_events_time": 0.00099, 
+        "find_ids_time": 0.14836970000000002, 
+        "marsh_time": 0.0004338
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentSubjects": {
+        "timing": 0.2214909, 
+        "get_events_time": 0.0031875000000000007, 
+        "find_ids_time": 0.2183034, 
+        "marsh_time": 0.0017557
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentActor": {
+        "timing": 0.16501300000000002, 
+        "get_events_time": 0.0032560000000000006, 
+        "find_ids_time": 0.161757, 
+        "marsh_time": 0.0018004
+    }, 
+    "TimeRange.always(), [], StorageState.Any, 100, ResultType.MostRecentSubjectInterpretation": {
+        "timing": 0.1445278, 
+        "get_events_time": 0.0009796, 
+        "find_ids_time": 0.1435482, 
+        "marsh_time": 0.0004156
+    }
+}
\ No newline at end of file