Major update of all demo programs to use new PEP8 bindings, etc
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PySimpleGUI
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307 changed files with 19546 additions and 3297 deletions
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@ -1,12 +1,12 @@
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#!/usr/bin/env python
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#!/usr/bin/env python
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from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
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import matplotlib.pyplot as plt
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import numpy as np
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import inspect
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import PySimpleGUI as sg
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import matplotlib
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matplotlib.use('TkAgg')
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import inspect
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
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"""
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Demonstrates one way of embedding Matplotlib figures into a PySimpleGUI window.
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@ -20,11 +20,6 @@ Basic steps are:
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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def PyplotSimple():
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import numpy as np
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import matplotlib.pyplot as plt
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@ -38,6 +33,7 @@ def PyplotSimple():
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fig = plt.gcf() # get the figure to show
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return fig
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def PyplotHistogram():
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"""
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=============================================================
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@ -87,6 +83,7 @@ def PyplotHistogram():
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fig.tight_layout()
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return fig
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def PyplotArtistBoxPlots():
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"""
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=========================================
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@ -143,6 +140,7 @@ def PyplotArtistBoxPlots():
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fig.subplots_adjust(hspace=0.4)
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return fig
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def ArtistBoxplot2():
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# fake data
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@ -189,6 +187,7 @@ def ArtistBoxplot2():
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fig.subplots_adjust(hspace=0.4)
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return fig
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def PyplotScatterWithLegend():
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import matplotlib.pyplot as plt
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from numpy.random import rand
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@ -205,6 +204,7 @@ def PyplotScatterWithLegend():
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ax.grid(True)
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return fig
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def PyplotLineStyles():
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"""
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==========
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@ -258,6 +258,7 @@ def PyplotLineStyles():
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plt.tight_layout()
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return plt.gcf()
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def PyplotLinePolyCollection():
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import matplotlib.pyplot as plt
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from matplotlib import collections, colors, transforms
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@ -361,6 +362,7 @@ def PyplotLinePolyCollection():
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ax4.set_ylim(ax4.get_ylim()[::-1])
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return fig
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def PyplotGGPlotSytleSheet():
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import numpy as np
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import matplotlib.pyplot as plt
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@ -405,6 +407,7 @@ def PyplotGGPlotSytleSheet():
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fig = plt.gcf() # get the figure to show
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return fig
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def PyplotBoxPlot():
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import numpy as np
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import matplotlib.pyplot as plt
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@ -423,6 +426,7 @@ def PyplotBoxPlot():
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ax1.boxplot(data)
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return fig1
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def PyplotRadarChart():
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import numpy as np
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@ -609,6 +613,7 @@ def PyplotRadarChart():
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size='large')
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return fig
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def DifferentScales():
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import numpy as np
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import matplotlib.pyplot as plt
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@ -629,13 +634,15 @@ def DifferentScales():
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ax2 = ax1.twinx() # instantiate a second axes that shares the same x-axis
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color = 'tab:blue'
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ax2.set_ylabel('sin', color=color) # we already handled the x-label with ax1
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# we already handled the x-label with ax1
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ax2.set_ylabel('sin', color=color)
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ax2.plot(t, data2, color=color)
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ax2.tick_params(axis='y', labelcolor=color)
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fig.tight_layout() # otherwise the right y-label is slightly clipped
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return fig
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def ExploringNormalizations():
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import matplotlib.pyplot as plt
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import matplotlib.colors as mcolors
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@ -662,6 +669,7 @@ def ExploringNormalizations():
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fig.tight_layout()
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return fig
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def PyplotFormatstr():
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def f(t):
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@ -679,6 +687,7 @@ def PyplotFormatstr():
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fig = plt.gcf() # get the figure to show
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return fig
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def UnicodeMinus():
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import numpy as np
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import matplotlib
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@ -693,6 +702,7 @@ def UnicodeMinus():
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ax.set_title('Using hyphen instead of Unicode minus')
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return fig
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def Subplot3d():
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from mpl_toolkits.mplot3d.axes3d import Axes3D
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from matplotlib import cm
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@ -723,6 +733,7 @@ def Subplot3d():
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ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)
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return fig
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def PyplotScales():
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import numpy as np
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import matplotlib.pyplot as plt
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@ -823,12 +834,15 @@ def AxesGrid():
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return plt.gcf()
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# The magic function that makes it possible.... glues together tkinter and pyplot using Canvas Widget
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def draw_figure(canvas, figure):
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figure_canvas_agg = FigureCanvasTkAgg(figure, canvas)
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figure_canvas_agg.draw()
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figure_canvas_agg.get_tk_widget().pack(side='top', fill='both', expand=1)
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return figure_canvas_agg
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def delete_figure_agg(figure_agg):
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figure_agg.get_tk_widget().forget()
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plt.close('all')
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@ -842,48 +856,52 @@ def delete_figure_agg(figure_agg):
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# print(inspect.getsource(PyplotSimple))
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fig_dict = {'Pyplot Simple':PyplotSimple, 'Pyplot Formatstr':PyplotFormatstr,'PyPlot Three':Subplot3d,
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'Unicode Minus': UnicodeMinus, 'Pyplot Scales' : PyplotScales, 'Axes Grid' : AxesGrid,
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'Exploring Normalizations' : ExploringNormalizations, 'Different Scales' : DifferentScales,
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'Pyplot Box Plot' : PyplotBoxPlot, 'Pyplot ggplot Style Sheet' : PyplotGGPlotSytleSheet,
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'Pyplot Line Poly Collection' : PyplotLinePolyCollection, 'Pyplot Line Styles' : PyplotLineStyles,
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'Pyplot Scatter With Legend' :PyplotScatterWithLegend, 'Artist Customized Box Plots' : PyplotArtistBoxPlots,
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'Artist Customized Box Plots 2' : ArtistBoxplot2, 'Pyplot Histogram' : PyplotHistogram}
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fig_dict = {'Pyplot Simple': PyplotSimple, 'Pyplot Formatstr': PyplotFormatstr, 'PyPlot Three': Subplot3d,
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'Unicode Minus': UnicodeMinus, 'Pyplot Scales': PyplotScales, 'Axes Grid': AxesGrid,
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'Exploring Normalizations': ExploringNormalizations, 'Different Scales': DifferentScales,
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'Pyplot Box Plot': PyplotBoxPlot, 'Pyplot ggplot Style Sheet': PyplotGGPlotSytleSheet,
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'Pyplot Line Poly Collection': PyplotLinePolyCollection, 'Pyplot Line Styles': PyplotLineStyles,
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'Pyplot Scatter With Legend': PyplotScatterWithLegend, 'Artist Customized Box Plots': PyplotArtistBoxPlots,
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'Artist Customized Box Plots 2': ArtistBoxplot2, 'Pyplot Histogram': PyplotHistogram}
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sg.ChangeLookAndFeel('LightGreen')
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sg.change_look_and_feel('LightGreen')
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figure_w, figure_h = 650, 650
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# define the form layout
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listbox_values = list(fig_dict)
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col_listbox = [[sg.Listbox(values=listbox_values, change_submits=True, size=(28, len(listbox_values)), key='-LISTBOX-')],
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[sg.T(' ' * 12), sg.Exit(size=(5, 2))]]
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[sg.Text(' ' * 12), sg.Exit(size=(5, 2))]]
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col_multiline = sg.Column([[sg.Multiline(size=(70, 35), key='-MULTILINE-')]])
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col_canvas = sg.Column([[ sg.Canvas(size=(figure_w, figure_h), key='-CANVAS-')]])
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col_instructions = sg.Column([[sg.Pane([col_canvas, col_multiline], size=(800,600))],
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[sg.Text('Grab square above and slide upwards to view source code for graph')]])
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col_multiline = sg.Col([[sg.MLine(size=(70, 35), key='-MULTILINE-')]])
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col_canvas = sg.Col([[sg.Canvas(size=(figure_w, figure_h), key='-CANVAS-')]])
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col_instructions = sg.Col([[sg.Pane([col_canvas, col_multiline], size=(800, 600))],
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[sg.Text('Grab square above and slide upwards to view source code for graph')]])
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layout = [[sg.Text('Matplotlib Plot Test', font=('ANY 18'))],
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[sg.Column(col_listbox), col_instructions],]
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[sg.Col(col_listbox), col_instructions], ]
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# create the form and show it without the plot
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window = sg.Window('Demo Application - Embedding Matplotlib In PySimpleGUI',layout, resizable=True, finalize=True)
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window = sg.Window('Demo Application - Embedding Matplotlib In PySimpleGUI',
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layout, resizable=True, finalize=True)
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canvas_elem = window.FindElement('-CANVAS-')
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multiline_elem= window.FindElement('-MULTILINE-')
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canvas_elem = window['-CANVAS-']
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multiline_elem = window['-MULTILINE-']
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figure_agg = None
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while True:
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event, values = window.Read()
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event, values = window.read()
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if event in (None, 'Exit'):
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break
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if figure_agg:
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# ** IMPORTANT ** Clean up previous drawing before drawing again
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delete_figure_agg(figure_agg)
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choice = values['-LISTBOX-'][0] # get first listbox item chosen (returned as a list)
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func = fig_dict[choice] # get function to call from the dictionary
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window['-MULTILINE-'].Update(inspect.getsource(func)) # show source code to function in multiline
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# get first listbox item chosen (returned as a list)
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choice = values['-LISTBOX-'][0]
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# get function to call from the dictionary
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func = fig_dict[choice]
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# show source code to function in multiline
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window['-MULTILINE-'].update(inspect.getsource(func))
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fig = func() # call function to get the figure
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figure_agg = draw_figure(window['-CANVAS-'].TKCanvas, fig) # draw the figure
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figure_agg = draw_figure(
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window['-CANVAS-'].TKCanvas, fig) # draw the figure
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