Python 如何在macOS上的PyCharm中使用Matplotlib.animation.FuncAnimation显示动画图形？

我正在尝试使用matplotlib.animation.FuncAnimation显示动画图形（而不是通过终端）。我正在macOS 10.14.6上使用PyCharm Professional 2019.2

我还没有找到任何适合macOS上PyCharm的解决方案

我试过几件事：

使用

FuncAnimate

添加

如中所述。这会导致我的PyCharm崩溃，并将我带到macOS登录屏幕

import datetime as dt
import matplotlib.pyplot as plt
import matplotlib.animation as animation

# Create figure for plotting
figure = plt.figure()
axis = figure.add_subplot(1, 1, 1)
xs = []
ys = []


# This function is called periodically from FuncAnimation
def animate(i, xs, ys):
    # Add x and y to lists
    xs.append(dt.datetime.now().strftime('%H:%M:%S.%f'))
    ys.append(dt.datetime.now().strftime('%H:%M:%S.%f'))

    # Limit x and y lists to 20 items
    xs = xs[-20:]
    ys = ys[-20:]

    # Draw x and y lists
    axis.clear()
    axis.plot(xs, ys)

    # Format plot
    plt.xticks(rotation=45, ha='right')
    plt.subplots_adjust(bottom=0.30)
    plt.title('Data over Time')
    plt.ylabel('Data')


# Set up plot to call animate() function periodically
ani = animation.FuncAnimation(figure, animate, fargs=(xs, ys), interval=1000)
plt.show()

这段代码只是简单地基于时间（两个轴）绘制一个线性函数

通过终端进行编译时，图形工作正常。PyCharm出于某种原因不想绘制它。macOS有什么解决方案吗？

看起来它还在PyCharm中。

import datetime as dt
import matplotlib.pyplot as plt
import matplotlib.animation as animation

# Create figure for plotting
figure = plt.figure()
axis = figure.add_subplot(1, 1, 1)
xs = []
ys = []


# This function is called periodically from FuncAnimation
def animate(i, xs, ys):
    # Add x and y to lists
    xs.append(dt.datetime.now().strftime('%H:%M:%S.%f'))
    ys.append(dt.datetime.now().strftime('%H:%M:%S.%f'))

    # Limit x and y lists to 20 items
    xs = xs[-20:]
    ys = ys[-20:]

    # Draw x and y lists
    axis.clear()
    axis.plot(xs, ys)

    # Format plot
    plt.xticks(rotation=45, ha='right')
    plt.subplots_adjust(bottom=0.30)
    plt.title('Data over Time')
    plt.ylabel('Data')


# Set up plot to call animate() function periodically
ani = animation.FuncAnimation(figure, animate, fargs=(xs, ys), interval=1000)
plt.show()