Moved all demo programs into subfolder
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107 changed files with 51 additions and 144 deletions
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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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else:
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import PySimpleGUI27 as sg
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import matplotlib
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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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"""
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Demonstrates one way of embedding Matplotlib figures into a PySimpleGUI window.
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Basic steps are:
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* Create a Canvas Element
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* Layout form
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* Display form (NON BLOCKING)
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* Draw plots onto convas
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* Display form (BLOCKING)
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"""
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#------------------------------- PASTE YOUR MATPLOTLIB CODE HERE -------------------------------
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib.ticker import NullFormatter # useful for `logit` scale
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# Fixing random state for reproducibility
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np.random.seed(19680801)
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# make up some data in the interval ]0, 1[
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y = np.random.normal(loc=0.5, scale=0.4, size=1000)
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y = y[(y > 0) & (y < 1)]
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y.sort()
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x = np.arange(len(y))
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# plot with various axes scales
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plt.figure(1)
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# linear
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plt.subplot(221)
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plt.plot(x, y)
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plt.yscale('linear')
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plt.title('linear')
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plt.grid(True)
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# log
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plt.subplot(222)
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plt.plot(x, y)
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plt.yscale('log')
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plt.title('log')
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plt.grid(True)
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# symmetric log
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plt.subplot(223)
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plt.plot(x, y - y.mean())
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plt.yscale('symlog', linthreshy=0.01)
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plt.title('symlog')
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plt.grid(True)
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# logit
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plt.subplot(224)
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plt.plot(x, y)
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plt.yscale('logit')
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plt.title('logit')
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plt.grid(True)
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plt.gca().yaxis.set_minor_formatter(NullFormatter())
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plt.subplots_adjust(top=0.92, bottom=0.08, left=0.10, right=0.95, hspace=0.25,
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wspace=0.35)
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fig = plt.gcf() # if using Pyplot then get the figure from the plot
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figure_x, figure_y, figure_w, figure_h = fig.bbox.bounds
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#------------------------------- END OF YOUR MATPLOTLIB CODE -------------------------------
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#------------------------------- Beginning of Matplotlib helper code -----------------------
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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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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_x, figure_y, figure_w, figure_h = figure.bbox.bounds
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figure_w, figure_h = int(figure_w), int(figure_h)
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photo = Tk.PhotoImage(master=canvas, width=figure_w, height=figure_h)
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canvas.create_image(loc[0] + figure_w/2, loc[1] + figure_h/2, image=photo)
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tkagg.blit(photo, figure_canvas_agg.get_renderer()._renderer, colormode=2)
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return photo
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#------------------------------- Beginning of GUI CODE -------------------------------
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# define the window layout
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layout = [[sg.Text('Plot test', font='Any 18')],
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[sg.Canvas(size=(figure_w, figure_h), key='canvas')],
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[sg.OK(pad=((figure_w / 2, 0), 3), size=(4, 2))]]
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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', force_toplevel=True).Layout(layout).Finalize()
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# add the plot to the window
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fig_photo = draw_figure(window.FindElement('canvas').TKCanvas, fig)
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# show it all again and get buttons
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event, values = window.Read()
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