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diff --git a/thirdparty/cairoplot-trunk/trunk/seriestests.py b/thirdparty/cairoplot-trunk/trunk/seriestests.py
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+import cairo, math, random
+
+import cairoplot
+from cairoplot.series import Series
+
+# Line plotting
+test_scatter_plot = 1
+test_dot_line_plot = 1
+test_function_plot = 1
+# Bar plotting
+test_vertical_bar_plot = 1
+test_horizontal_bar_plot = 1
+# Pie plotting
+test_pie_plot = 1
+test_donut_plot = 1
+# Others
+test_gantt_chart = 1
+test_themes = 1
+
+
+if test_scatter_plot:
+ #Default data
+ data = Series([ (-2,10), (0,0), (0,15), (1,5), (2,0), (3,-10), (3,5) ])
+ cairoplot.scatter_plot ( 'scatter_1_default_series.png', data = data, width = 500, height = 500, border = 20, axis = True, grid = True )
+
+ #lists of coordinates x,y
+ data = Series([[[1,2,3,4,5],[1,1,1,1,1]]])
+ cairoplot.scatter_plot ( 'scatter_2_lists_series.png', data = data, width = 500, height = 500, border = 20, axis = True, grid = True )
+
+ #lists of coordinates x,y,z
+ data = Series([[[0.5,1,2,3,4,5],[0.5,1,1,1,1,1],[10,6,10,20,10,6]]])
+ colors = [ (0,0,0,0.25), (1,0,0,0.75) ]
+ cairoplot.scatter_plot ( 'scatter_3_lists_series.png', data = data, width = 500, height = 500, border = 20, axis = True, discrete = True,
+ grid = True, circle_colors = colors )
+
+ data = Series([(-1, -16, 12), (-12, 17, 11), (-4, 6, 5), (4, -20, 12), (13, -3, 21), (7, 14, 20), (-11, -2, 18), (19, 7, 18), (-10, -19, 15),
+ (-17, -2, 6), (-9, 4, 10), (14, 11, 16), (13, -11, 18), (20, 20, 16), (7, -8, 15), (-16, 17, 16), (16, 9, 9), (-3, -13, 25),
+ (-20, -6, 17), (-10, -10, 12), (-7, 17, 25), (10, -10, 13), (10, 13, 20), (17, 6, 15), (18, -11, 14), (18, -12, 11), (-9, 11, 14),
+ (17, -15, 25), (-2, -8, 5), (5, 20, 20), (18, 20, 23), (-20, -16, 17), (-19, -2, 9), (-11, 19, 18), (17, 16, 12), (-5, -20, 15),
+ (-20, -13, 10), (-3, 5, 20), (-1, 13, 17), (-11, -9, 11)])
+ colors = [ (0,0,0,0.25), (1,0,0,0.75) ]
+ cairoplot.scatter_plot ( 'scatter_2_variable_radius_series.png', data = data, width = 500, height = 500, border = 20,
+ axis = True, discrete = True, dots = 2, grid = True,
+ x_title = "x axis", y_title = "y axis", circle_colors = colors )
+
+ #Scatter x DotLine error bars
+ t = [x*0.1 for x in range(0,40)]
+ f = [math.exp(x) for x in t]
+ g = [10*math.cos(x) for x in t]
+ h = [10*math.sin(x) for x in t]
+ erx = [0.1*random.random() for x in t]
+ ery = [5*random.random() for x in t]
+ data = Series({"exp" : [t,f], "cos" : [t,g], "sin" : [t,h]})
+ series_colors = [ (1,0,0), (0,0,0), (0,0,1) ]
+ cairoplot.scatter_plot ( 'cross_r_exponential_series.png', data = data, errorx = [erx,erx], errory = [ery,ery], width = 800, height = 600, border = 20,
+ axis = True, discrete = False, dots = 5, grid = True,
+ x_title = "t", y_title = "f(t) g(t)", series_legend=True, series_colors = series_colors )
+
+
+if test_dot_line_plot:
+ #Default plot
+ data = [ 0, 1, 3.5, 8.5, 9, 0, 10, 10, 2, 1 ]
+ cairoplot.dot_line_plot( "dot_line_1_default_series.png", data, 400, 300, border = 50, axis = True, grid = True,
+ x_title = "x axis", y_title = "y axis" )
+
+ #Labels
+ data = { "john" : [-5, -2, 0, 1, 3], "mary" : [0, 0, 3, 5, 2], "philip" : [-2, -3, -4, 2, 1] }
+ x_labels = [ "jan/2008", "feb/2008", "mar/2008", "apr/2008", "may/2008" ]
+ y_labels = [ "very low", "low", "medium", "high", "very high" ]
+ cairoplot.dot_line_plot( "dot_line_2_dictionary_labels_series.png", data, 400, 300, x_labels = x_labels,
+ y_labels = y_labels, axis = True, grid = True,
+ x_title = "x axis", y_title = "y axis", series_legend=True )
+
+ #Series legend
+ 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( 'dot_line_3_series_legend_series.png', data, 400, 300, x_labels = x_labels,
+ axis = True, grid = True, series_legend = True )
+
+if test_function_plot :
+ #Default Plot
+ data = lambda x : x**2
+ cairoplot.function_plot( 'function_1_default_series.png', data, 400, 300, grid = True, x_bounds=(-10,10), step = 0.1 )
+
+ #Discrete Plot
+ data = lambda x : math.sin(0.1*x)*math.cos(x)
+ cairoplot.function_plot( 'function_2_discrete_series.png', data, 800, 300, discrete = True, dots = True, grid = True, x_bounds=(0,80),
+ x_title = "t (s)", y_title = "sin(0.1*x)*cos(x)")
+
+ #Labels test
+ data = lambda x : [1,2,3,4,5][x]
+ x_labels = [ "4", "3", "2", "1", "0" ]
+ cairoplot.function_plot( 'function_3_labels_series.png', data, 400, 300, discrete = True, dots = True, grid = True, x_labels = x_labels, x_bounds=(0,4), step = 1 )
+
+ #Multiple functions
+ data = [ lambda x : 1, lambda y : y**2, lambda z : -z**2 ]
+ colors = [ (1.0, 0.0, 0.0 ), ( 0.0, 1.0, 0.0 ), ( 0.0, 0.0, 1.0 ) ]
+ cairoplot.function_plot( 'function_4_multi_functions_series.png', data, 400, 300, grid = True, series_colors = colors, step = 0.1 )
+
+ #Gaussian
+ a = 1
+ b = 0
+ c = 1.5
+ gaussian = lambda x : a*math.exp(-(x-b)*(x-b)/(2*c*c))
+ cairoplot.function_plot( 'function_5_gaussian_series.png', data, 400, 300, grid = True, x_bounds = (-10,10), step = 0.1 )
+
+ #Dict function plot
+ data = Series()
+ data.range = (-5,5)
+ data.group_list = {'linear':lambda x : x*2, 'quadratic':lambda x:x**2, 'cubic':lambda x:(x**3)/2}
+ cairoplot.function_plot( 'function_6_dict_serie.png', data, 400, 300, grid = True, x_bounds=(-5,5), step = 0.1 )
+
+
+if test_vertical_bar_plot:
+ #Passing a dictionary
+ data = Series({ 'teste00' : [27], 'teste01' : [10], 'teste02' : [18], 'teste03' : [5], 'teste04' : [1], 'teste05' : [22] })
+ cairoplot.vertical_bar_plot ( 'vbar_0_dictionary_series.png', data, 400, 300, border = 20, grid = True, rounded_corners = True )
+
+ #Display values
+ data = Series({ 'teste00' : [27], 'teste01' : [10], 'teste02' : [18], 'teste03' : [5], 'teste04' : [1], 'teste05' : [22] })
+ cairoplot.vertical_bar_plot ( 'vbar_0_dictionary_series.png', data, 400, 300, border = 20, display_values = True, grid = True, rounded_corners = True )
+
+ #Using default, rounded corners and 3D visualization
+ data = Series([ [0, 3, 11], [8, 9, 21], [13, 10, 9], [2, 30, 8] ])
+ colors = [ (1,0.2,0), (1,0.7,0), (1,1,0) ]
+ series_labels = ["red", "orange", "yellow"]
+ cairoplot.vertical_bar_plot ( 'vbar_1_default_series.png', data, 400, 300, border = 20, grid = True, rounded_corners = False, colors = "yellow_orange_red" )
+ cairoplot.vertical_bar_plot ( 'vbar_2_rounded_series.png', data, 400, 300, border = 20, series_labels = series_labels, display_values = True, grid = True, rounded_corners = True, colors = colors )
+ cairoplot.vertical_bar_plot ( 'vbar_3_3D_series.png', data, 400, 300, border = 20, series_labels = series_labels, grid = True, three_dimension = True, colors = colors )
+
+ #Mixing groups and columns
+ data = Series([ [1], [2], [3,4], [4], [5], [6], [7], [8], [9], [10] ])
+ cairoplot.vertical_bar_plot ( 'vbar_4_group_series.png', data, 400, 300, border = 20, grid = True )
+
+ #Using no labels, horizontal and vertical labels
+ data = Series([[3,4], [4,8], [5,3], [9,1]])
+ y_labels = [ "line1", "line2", "line3", "line4", "line5", "line6" ]
+ x_labels = [ "group1", "group2", "group3", "group4" ]
+ cairoplot.vertical_bar_plot ( 'vbar_5_no_labels_series.png', data, 600, 200, border = 20, grid = True )
+ cairoplot.vertical_bar_plot ( 'vbar_6_x_labels_series.png', data, 600, 200, border = 20, grid = True, x_labels = x_labels )
+ cairoplot.vertical_bar_plot ( 'vbar_7_y_labels_series.png', data, 600, 200, border = 20, grid = True, y_labels = y_labels )
+ cairoplot.vertical_bar_plot ( 'vbar_8_hy_labels_series.png', data, 600, 200, border = 20, display_values = True, grid = True, x_labels = x_labels, y_labels = y_labels )
+
+ #Large data set
+ data = Series([[10*random.random()] for x in range(50)])
+ x_labels = ["large label name oh my god it's big" for x in data]
+ cairoplot.vertical_bar_plot ( 'vbar_9_large_series.png', data, 1000, 800, border = 20, grid = True, rounded_corners = True, x_labels = x_labels )
+
+ #Stack vertical
+ data = Series([ [6, 4, 10], [8, 9, 3], [1, 10, 9], [2, 7, 11] ])
+ colors = [ (1,0.2,0), (1,0.7,0), (1,1,0) ]
+ x_labels = ["teste1", "teste2", "testegrande3", "testegrande4"]
+ cairoplot.vertical_bar_plot ( 'vbar_10_stack_series.png', data, 400, 300, border = 20, display_values = True, grid = True, rounded_corners = True, stack = True,
+ x_labels = x_labels, colors = colors )
+
+
+if test_horizontal_bar_plot:
+ #Passing a dictionary
+ data = Series({ 'teste00' : [27], 'teste01' : [10], 'teste02' : [18], 'teste03' : [5], 'teste04' : [1], 'teste05' : [22] })
+ cairoplot.horizontal_bar_plot ( 'hbar_0_dictionary_series.png', data, 400, 300, border = 20, display_values = True, grid = True, rounded_corners = True )
+
+ #Using default, rounded corners and 3D visualization
+ data = Series([ [0, 3, 11], [8, 9, 21], [13, 10, 9], [2, 30, 8] ])
+ colors = [ (1,0.2,0), (1,0.7,0), (1,1,0) ]
+ series_labels = ["red", "orange", "yellow"]
+ cairoplot.horizontal_bar_plot ( 'hbar_1_default_series.png', data, 400, 300, border = 20, grid = True, rounded_corners = False, colors = "yellow_orange_red" )
+ cairoplot.horizontal_bar_plot ( 'hbar_2_rounded_series.png', data, 400, 300, border = 20, series_labels = series_labels, display_values = True, grid = True, rounded_corners = True, colors = colors )
+
+
+ #Mixing groups and columns
+ data = ([ [1], [2], [3,4], [4], [5], [6], [7], [8], [9], [10] ])
+ cairoplot.horizontal_bar_plot ( 'hbar_4_group_series.png', data, 400, 300, border = 20, grid = True )
+
+ #Using no labels, horizontal and vertical labels
+ series_labels = ["data11", "data22"]
+ data = Series([[3,4], [4,8], [5,3], [9,1]])
+ x_labels = [ "line1", "line2", "line3", "line4", "line5", "line6" ]
+ y_labels = [ "group1", "group2", "group3", "group4" ]
+ cairoplot.horizontal_bar_plot ( 'hbar_5_no_labels_series.png', data, 600, 200, border = 20, series_labels = series_labels, grid = True )
+ cairoplot.horizontal_bar_plot ( 'hbar_6_x_labels_series.png', data, 600, 200, border = 20, series_labels = series_labels, grid = True, x_labels = x_labels )
+ cairoplot.horizontal_bar_plot ( 'hbar_7_y_labels_series.png', data, 600, 200, border = 20, series_labels = series_labels, grid = True, y_labels = y_labels )
+ cairoplot.horizontal_bar_plot ( 'hbar_8_hy_labels_series.png', data, 600, 200, border = 20, series_labels = series_labels, display_values = True, grid = True, x_labels = x_labels, y_labels = y_labels )
+
+ #Large data set
+ data = Series([[10*random.random()] for x in range(25)])
+ x_labels = ["large label name oh my god it's big" for x in data]
+ cairoplot.horizontal_bar_plot ( 'hbar_9_large_series.png', data, 1000, 800, border = 20, grid = True, rounded_corners = True, x_labels = x_labels )
+
+ #Stack horizontal
+ data = Series([ [6, 4, 10], [8, 9, 3], [1, 10, 9], [2, 7, 11] ])
+ colors = [ (1,0.2,0), (1,0.7,0), (1,1,0) ]
+ y_labels = ["teste1", "teste2", "testegrande3", "testegrande4"]
+ cairoplot.horizontal_bar_plot ( 'hbar_10_stack_series.png', data, 400, 300, border = 20, display_values = True, grid = True, rounded_corners = True, stack = True,
+ y_labels = y_labels, colors = colors )
+
+if test_pie_plot :
+ #Define a new backgrond
+ background = cairo.LinearGradient(300, 0, 300, 400)
+ background.add_color_stop_rgb(0.0,0.7,0.0,0.0)
+ background.add_color_stop_rgb(1.0,0.3,0.0,0.0)
+
+ #Plot data
+ data = {"orcs" : 100, "goblins" : 230, "elves" : 50 , "demons" : 43, "humans" : 332}
+ cairoplot.pie_plot( "pie_1_default_series.png", data, 600, 400 )
+ cairoplot.pie_plot( "pie_2_gradient_shadow_series.png", data, 600, 400, gradient = True, shadow = True )
+ cairoplot.pie_plot( "pie_3_background_series.png", data, 600, 400, background = background, gradient = True, shadow = True )
+
+if test_donut_plot :
+ #Define a new backgrond
+ background = cairo.LinearGradient(300, 0, 300, 400)
+ background.add_color_stop_rgb(0,0.4,0.4,0.4)
+ background.add_color_stop_rgb(1.0,0.1,0.1,0.1)
+
+ data = {"john" : 700, "mary" : 100, "philip" : 100 , "suzy" : 50, "yman" : 50}
+ #Default plot, gradient and shadow, different background
+ cairoplot.donut_plot( "donut_1_default_series.png", data, 600, 400, inner_radius = 0.3 )
+ cairoplot.donut_plot( "donut_2_gradient_shadow_series.png", data, 600, 400, gradient = True, shadow = True, inner_radius = 0.3 )
+ cairoplot.donut_plot( "donut_3_background_series.png", data, 600, 400, background = background, gradient = True, shadow = True, inner_radius = 0.3 )
+
+if test_gantt_chart :
+ #Default Plot
+ pieces = Series([(0.5, 5.5), [(0, 4), (6, 8)], (5.5, 7), (7, 9)])
+ 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_1_default_series.png', pieces, 500, 350, x_labels, y_labels, colors)
+
+if test_themes :
+ data = Series([[1,2,3,4,5,6,7,8,9,10,11,12,13,14]])
+ cairoplot.vertical_bar_plot ( 'bar_1_color_themes_series.png', data, 400, 300, border = 20, grid = True, colors="rainbow" )
+
+ data = Series([[1,2,3,4,5,6,7,8,9,10,11,12,13,14]])
+ cairoplot.vertical_bar_plot ( 'bar_2_color_themes_series.png', data, 400, 300, background = "white light_gray", border = 20, grid = True, colors="rainbow" )
+
+ data = Series()
+ data.range = (0,10,0.1)
+ data.group_list = [ lambda x : 1, lambda y : y**2, lambda z : -z**2 ]
+ cairoplot.function_plot( 'function_color_themes_series.png', data, 400, 300, grid = True, series_colors = ["red", "orange", "yellow"], step = 0.1 )
+
+ #Scatter x DotLine
+ t = [x*0.1 for x in range(0,40)]
+ f = [math.exp(x) for x in t]
+ g = [10*math.cos(x) for x in t]
+ h = [10*math.sin(x) for x in t]
+ erx = [0.1*random.random() for x in t]
+ ery = [5*random.random() for x in t]
+ data = Series({"exp" : [t,f], "cos" : [t,g], "sin" : [t,h]})
+ series_colors = [ (1,0,0), (0,0,0) ]
+ cairoplot.scatter_plot ( 'scatter_color_themes_series.png', data = data, errorx = [erx,erx], errory = [ery,ery], width = 800, height = 600, border = 20,
+ axis = True, discrete = False, dots = 5, grid = True,
+ x_title = "t", y_title = "f(t) g(t)", series_legend=True, series_colors = ["red", "blue", "orange"])