Updated to work with 3.1.1
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@ -1,16 +1,11 @@
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#!/usr/bin/env python
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#!/usr/bin/env python
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import sys
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if sys.version_info[0] >= 3:
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import PySimpleGUI as sg
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import PySimpleGUI as sg
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else:
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import PySimpleGUI27 as sg
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import matplotlib
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import matplotlib
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matplotlib.use('TkAgg')
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matplotlib.use('TkAgg')
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from matplotlib.backends.backend_tkagg import FigureCanvasAgg
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import matplotlib.backends.tkagg as tkagg
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import tkinter as Tk
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import inspect
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import inspect
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from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
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"""
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"""
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Demonstrates one way of embedding Matplotlib figures into a PySimpleGUI window.
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Demonstrates one way of embedding Matplotlib figures into a PySimpleGUI window.
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@ -20,10 +15,10 @@ Basic steps are:
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* Display form (NON BLOCKING)
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* Display form (NON BLOCKING)
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* Draw plots onto convas
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* Draw plots onto convas
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* Display form (BLOCKING)
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* Display form (BLOCKING)
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Each plotting function, complete with imports, was copied directly from Matplot examples page
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"""
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"""
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import numpy as np
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.pyplot as plt
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@ -825,39 +820,24 @@ def AxesGrid():
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plt.draw()
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plt.draw()
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return plt.gcf()
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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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# The magic function that makes it possible.... glues together tkinter and pyplot using Canvas Widget
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def draw_figure(canvas, figure, loc=(0, 0)):
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def draw_figure(canvas, figure, loc=(0, 0)):
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""" Draw a matplotlib figure onto a Tk canvas
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figure_canvas_agg = FigureCanvasTkAgg(figure, canvas)
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loc: location of top-left corner of figure on canvas in pixels.
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Inspired by matplotlib source: lib/matplotlib/backends/backend_tkagg.py
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"""
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figure_canvas_agg = FigureCanvasAgg(figure)
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figure_canvas_agg.draw()
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figure_canvas_agg.draw()
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figure_x, figure_y, figure_w, figure_h = figure.bbox.bounds
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figure_canvas_agg.get_tk_widget().pack(side='top', fill='both', expand=1)
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figure_w, figure_h = int(figure_w), int(figure_h)
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return figure_canvas_agg
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photo = Tk.PhotoImage(master=canvas, width=figure_w, height=figure_h)
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# Position: convert from top-left anchor to center anchor
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canvas.create_image(loc[0] + figure_w/2, loc[1] + figure_h/2, image=photo)
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# Unfortunately, there's no accessor for the pointer to the native renderer
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tkagg.blit(photo, figure_canvas_agg.get_renderer()._renderer, colormode=2)
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# Return a handle which contains a reference to the photo object
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# which must be kept live or else the picture disappears
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return photo
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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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# -------------------------------- GUI Starts Here -------------------------------#
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# -------------------------------- GUI Starts Here -------------------------------#
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# fig = your figure you want to display. Assumption is that 'fig' holds the #
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# fig = your figure you want to display. Assumption is that 'fig' holds the #
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# information to display. #
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# information to display. #
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# --------------------------------------------------------------------------------#
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# --------------------------------------------------------------------------------#
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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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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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'Unicode Minus': UnicodeMinus, 'Pyplot Scales' : PyplotScales, 'Axes Grid' : AxesGrid,
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'Exploring Normalizations' : ExploringNormalizations, 'Different Scales' : DifferentScales,
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'Exploring Normalizations' : ExploringNormalizations, 'Different Scales' : DifferentScales,
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@ -866,41 +846,33 @@ fig_dict = {'Pyplot Simple':PyplotSimple, 'Pyplot Formatstr':PyplotFormatstr,'Py
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'Pyplot Scatter With Legend' :PyplotScatterWithLegend, 'Artist Customized Box Plots' : PyplotArtistBoxPlots,
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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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'Artist Customized Box Plots 2' : ArtistBoxplot2, 'Pyplot Histogram' : PyplotHistogram}
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sg.ChangeLookAndFeel('LightGreen')
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sg.ChangeLookAndFeel('LightGreen')
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figure_w, figure_h = 650, 650
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figure_w, figure_h = 650, 650
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# define the form layout
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# define the form layout
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listbox_values = [key for key in fig_dict.keys()]
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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='func')],
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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.T(' ' * 12), sg.Exit(size=(5, 2))]]
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layout = [[sg.Text('Matplotlib Plot Test', font=('current 18'))],
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layout = [[sg.Text('Matplotlib Plot Test', font=('current 18'))],
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[sg.Column(col_listbox, pad=(5, (3, 330))), sg.Canvas(size=(figure_w, figure_h), key='canvas') ,
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[sg.Column(col_listbox, pad=(5, (3, 330))), sg.Canvas(size=(figure_w, figure_h), key='-CANVAS-') ,
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sg.Multiline(size=(70, 35), pad=(5, (3, 90)), key='multiline')],]
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sg.Multiline(size=(70, 35), pad=(5, (3, 90)), key='-MULTILINE-')],]
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# create the form and show it without the plot
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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', grab_anywhere=False).Layout(layout)
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window = sg.Window('Demo Application - Embedding Matplotlib In PySimpleGUI', layout, grab_anywhere=False, finalize=True)
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window.Finalize()
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figure_agg = None
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# The GUI Event Loop
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canvas_elem = window.FindElement('canvas')
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multiline_elem= window.FindElement('multiline')
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while True:
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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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print(event)
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# print(event, values) # helps greatly when debugging
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# show it all again and get buttons
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if event in (None, 'Exit'): # if user closed window or clicked Exit button
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if event in (None, 'Exit'):
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break
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break
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if figure_agg:
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try:
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# ** IMPORTANT ** Clean up previous drawing before drawing again
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choice = values['func'][0]
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delete_figure_agg(figure_agg)
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func = fig_dict[choice]
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choice = values['-LISTBOX-'][0] # get first listbox item chosen (returned as a list)
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except:
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func = fig_dict[choice] # get function to call from the dictionary
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pass
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window['-MULTILINE-'].Update(inspect.getsource(func)) # show source code to function in multiline
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fig = func() # call function to get the figure
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multiline_elem.Update(inspect.getsource(func))
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figure_agg = draw_figure(window['-CANVAS-'].TKCanvas, fig) # draw the figure
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plt.clf()
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window.close()
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fig = func()
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fig_photo = draw_figure(canvas_elem.TKCanvas, fig)
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