我试图把我的matplotlib动画放到GUI中

Question

正如标题所说，我正试图将我的matplotlib动画放入GUI中，但我不太确定从哪里开始。我对python非常陌生，尤其是用它来制作GUI。现在这就是我的动画：

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.animation import FuncAnimation
points = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1)
fig, ax = plt.subplots()
xfixdata, yfixdata = 15,10
xdata, ydata = 5, None
ln, = plt.plot([], [], 'ro-', animated=True)
plt.plot([xfixdata], [yfixdata], 'bo', ms=10)
def init():
ax.set_xlim(0, 20)
ax.set_ylim(0, 20)
return ln,
def update(frame):
ydata = points[frame]
ln.set_data([xfixdata,xdata], [yfixdata,ydata])
return ln,

ani = FuncAnimation(fig, update, interval=80, frames=range(len(points)),
init_func=init, blit=True)
plt.show()

现在，我一直在尝试使用pysimpleGUI将这些代码转移到画布中，但是，我没有取得任何进展。你们中的一个人有没有可能带我完成这个转变的过程？非常感谢。

Answer 1

这里有一个关于PySimpleGUIGraph元素中matplotlib动画的演示代码，当然，您可以使用Canvas元素

import math
from matplotlib import use as use_agg
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import matplotlib.pyplot as plt
import PySimpleGUI as sg
def pack_figure(graph, figure):
canvas = FigureCanvasTkAgg(figure, graph.Widget)
plot_widget = canvas.get_tk_widget()
plot_widget.pack(side='top', fill='both', expand=1)
return plot_widget
def plot_figure(index, theta):
fig = plt.figure(index)         # Active an existing figure
ax = plt.gca()                  # Get the current axes
x = [degree for degree in range(1080)]
y = [math.sin((degree+theta)/180*math.pi) for degree in range(1080)]
ax.cla()                        # Clear the current axes
ax.set_title(f"Sensor Data {index}")
ax.set_xlabel("X axis")
ax.set_ylabel("Y axis")
ax.set_xscale('log')
ax.grid()
plt.plot(x, y)                  # Plot y versus x as lines and/or markers
fig.canvas.draw()               # Rendor figure into canvas
# Use Tkinter Agg
use_agg('TkAgg')
layout = [[sg.Graph((640, 480), (0, 0), (640, 480), key='Graph1'), sg.Graph((640, 480), (0, 0), (640, 480), key='Graph2')]]
window = sg.Window('Matplotlib', layout, finalize=True)

# Initial
graph1 = window['Graph1']
graph2 = window['Graph2']
plt.ioff()                          # Turn the interactive mode off
fig1 = plt.figure(1)                # Create a new figure
ax1 = plt.subplot(111)              # Add a subplot to the current figure.
fig2 = plt.figure(2)                # Create a new figure
ax2 = plt.subplot(111)              # Add a subplot to the current figure.
pack_figure(graph1, fig1)           # Pack figure under graph
pack_figure(graph2, fig2)
theta1 = 0                          # theta for fig1
theta2 = 90                         # theta for fig2
plot_figure(1, theta1)
plot_figure(2, theta2)
while True:
event, values = window.read(timeout=10)
if event == sg.WINDOW_CLOSED:
break
elif event == sg.TIMEOUT_EVENT:
theta1 = (theta1 + 40) % 360
plot_figure(1, theta1)
theta2 = (theta2 + 40) % 260
plot_figure(2, theta2)
window.close()