Matplotlib动画在PyCharm中不起作用 [英] Matplotlib animations do not work in PyCharm

问题描述

我发现了各种使用matplotlib制作动画的短文件。通常，从命令行运行它们时效果很好，但是在PyCharm中，我只能得到静止帧。

I've found various short files that produce animations using matplotlib. In general, they work fine when run from the command line, but in PyCharm I only get a still frame.

我问的是与Matplotlib在IDE（PyCharm）中使用时不会更新图。那里贴了一个答案，这似乎适用于原始提问者。当我从命令行运行该代码时，它可以正常工作。在PyCharm中，它会暂停很长一段时间（大概正在运行动画），然后显示一个静止帧（看起来像动画的开始或结束）。

I'm asking the same question as Matplotlib does not update plot when used in an IDE (PyCharm). There's an answer posted there, which seems to work for the original asker. When I run that code from the command line, it works fine. From PyCharm, it pauses for a long time (presumably running the animation) and then shows a still frame (that looks like either the beginning or end of the animation).

我正在Mac（OS 10.11.6）上通过PyCharm 2017.3.2（专业版）运行Python 3.6.2（Anaconda）。我在PyCharm中创建了一个Python项目，将该代码粘贴到.py文件中，安装了适当的库（matplotlib 2.0.2，numpy 1.13.1），然后运行了该程序。

I'm running Python 3.6.2 (Anaconda) through PyCharm 2017.3.2 (Professional) on a Mac (OS 10.11.6). I created a Python project in PyCharm, pasted that code into a .py file, installed the appropriate libraries (matplotlib 2.0.2, numpy 1.13.1), and ran the program.

我与命令行所做的唯一区别是python --version提供了以下功能：

The only difference I can see between this and what I did on the command line is that python --version there gives:

Python 3.6.0 :: Anaconda custom (x86_64)

还有什么问题吗？

推荐答案

根据此答案并此票证，您可以禁用在工具窗口（文件->设置->工具-> Python Scientific），我将给出此解决方案的示例。

According to this answer and this ticket, you can disable Show plots in tool window(File->Settings->Tools->Python Scientific) in Pycharm, and I will give an example for this solution.

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

fig, ax = plt.subplots()
xdata, ydata = [], []
ln, = plt.plot([], [], 'ro')

def init():
    ax.set_xlim(0, 2*np.pi)
    ax.set_ylim(-1, 1)
    return ln,

def update(frame):
    xdata.append(frame)
    ydata.append(np.sin(frame))
    ln.set_data(xdata, ydata)
    return ln,

ani = FuncAnimation(fig, update, frames=np.linspace(0, 2*np.pi, 128),
                    init_func=init, blit=True)
plt.show()

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