Python 您可能会发现，通过搜索项目的GitHub，您可以更快地获得答案。您是天使MikeyB！！！非常感谢。回到3.0.3真是太棒了！几天前，我在GitHub上发布了这方面的信息，但我发现这里的人非常有帮助，知识渊博，我想我也应该在这里尝试一下，我很高兴我做到了！

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您可能会发现，通过搜索项目的GitHub，您可以更快地获得答案。

您是天使MikeyB！！！非常感谢。回到3.0.3真是太棒了！几天前，我在GitHub上发布了这方面的信息，但我发现这里的人非常有帮助，知识渊博，我想我也应该在这里尝试一下，我很高兴我做到了！你能告诉我发行号吗？GitHub是这个特定项目的两个地点中最好的一个。当然是1775年

import matplotlib
matplotlib.use('TkAgg')
from matplotlib.backends.backend_tkagg import FigureCanvasAgg
import matplotlib.backends.tkagg as tkagg
import inspect
import numpy as np
import matplotlib.pyplot as plt
import tkinter as Tk


def PyplotHistogram():
    np.random.seed(0)

    n_bins = 10
    x = np.random.randn(1000, 3)

    fig, axes = plt.subplots(nrows=2, ncols=2)
    ax0, ax1, ax2, ax3 = axes.flatten()

    colors = ['red', 'tan', 'lime']
    ax0.hist(x, n_bins, density=1, histtype='bar', color=colors, label=colors)
    ax0.legend(prop={'size': 10})
    ax0.set_title('bars with legend')

    ax1.hist(x, n_bins, density=1, histtype='bar', stacked=True)
    ax1.set_title('stacked bar')

    ax2.hist(x, n_bins, histtype='step', stacked=True, fill=False)
    ax2.set_title('stack step (unfilled)')

    # Make a multiple-histogram of data-sets with different length.
    x_multi = [np.random.randn(n) for n in [10000, 5000, 2000]]
    ax3.hist(x_multi, n_bins, histtype='bar')
    ax3.set_title('different sample sizes')

    fig.tight_layout()
    return fig


def draw_figure(canvas, figure, loc=(0, 0)):
    """ Draw a matplotlib figure onto a Tk canvas
    loc: location of top-left corner of figure on canvas in pixels.
    Inspired by matplotlib source: lib/matplotlib/backends/backend_tkagg.py
    """
    figure_canvas_agg = FigureCanvasAgg(figure)
    figure_canvas_agg.draw()
    figure_x, figure_y, figure_w, figure_h = figure.bbox.bounds
    figure_w, figure_h = int(figure_w), int(figure_h)
    photo = Tk.PhotoImage(master=canvas, width=figure_w, height=figure_h)

    # Position: convert from top-left anchor to center anchor
    canvas.create_image(loc[0] + figure_w/2, loc[1] + figure_h/2, image=photo)

    # Unfortunately, there's no accessor for the pointer to the native renderer
    tkagg.blit(photo, figure_canvas_agg.get_renderer()._renderer, colormode=2)

    # Return a handle which contains a reference to the photo object
    # which must be kept live or else the picture disappears
    return photo


fig_dict = {'Pyplot Histogram' : PyplotHistogram}


sg.ChangeLookAndFeel('LightGreen')
figure_w, figure_h = 650, 650
# define the form layout
listbox_values = [key for key in fig_dict.keys()]
col_listbox = [[sg.Listbox(values=listbox_values, change_submits=True, size=(28, len(listbox_values)), key='func')],
               [sg.T(' ' * 12), sg.Exit(size=(5, 2))]]

col_multiline = sg.Column([[sg.Multiline(size=(70, 35), key='multiline')]])
col_canvas = sg.Column([[ sg.Canvas(size=(figure_w, figure_h), key='canvas')]])

layout = [[sg.Text('Matplotlib Plot Test', font=('current 18'))],
          [sg.Column(col_listbox), sg.Pane([col_canvas, col_multiline], size=(800,600))],
          ]

# create the form and show it without the plot
window = sg.Window('Demo Application - Embedding Matplotlib In PySimpleGUI',resizable=True, grab_anywhere=False).Layout(layout)
window.Finalize()

canvas_elem = window.FindElement('canvas')
multiline_elem= window.FindElement('multiline')

while True:
    event, values = window.Read()
    # print(event)
    # show it all again and get buttons
    if event in (None, 'Exit'):
        break

    try:
        choice = values['func'][0]
        func = fig_dict[choice]
    except:
        pass

    multiline_elem.Update(inspect.getsource(func))
    plt.clf()
    fig = func()
    fig_photo = draw_figure(canvas_elem.TKCanvas, fig)


*** ERROR MESSAGE ***

/Users/thewarpdrive/PycharmProjects/sports/venv/bin/python "/Users/thewarpdrive/PycharmProjects/sports/breakdown graph options.py"
/Users/thewarpdrive/PycharmProjects/sports/breakdown graph options.py:5: MatplotlibDeprecationWarning: 
The matplotlib.backends.tkagg module was deprecated in Matplotlib 3.0 and will be removed in 3.2.
  import matplotlib.backends.tkagg as tkagg
*** Changing look and feel is not supported on Mac platform ***
Traceback (most recent call last):
  File "/Users/thewarpdrive/PycharmProjects/sports/venv/lib/python3.7/site-packages/matplotlib/backends/tkagg.py", line 27, in blit
    dataptr, colormode, bboxptr)
_tkinter.TclError: invalid command name "PyAggImagePhoto"

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/Users/thewarpdrive/PycharmProjects/sports/breakdown graph options.py", line 103, in <module>
    fig_photo = draw_figure(canvas_elem.TKCanvas, fig)
  File "/Users/thewarpdrive/PycharmProjects/sports/breakdown graph options.py", line 56, in draw_figure
    tkagg.blit(photo, figure_canvas_agg.get_renderer()._renderer, colormode=2)
  File "/Users/thewarpdrive/PycharmProjects/sports/venv/lib/python3.7/site-packages/matplotlib/backends/tkagg.py", line 28, in blit
    except tk.TclError:
AttributeError: '_tkinter.tkapp' object has no attribute 'TclError'

Process finished with exit code 1