2D的简单动画坐标使用matplotlib和pyplot [英] Simple animation of 2D coordinates using matplotlib and pyplot

问题描述

我是新来matplotlib。我有我的蟒蛇更新和想用matplotlib的pyplot动画x-y坐标列表。我想预先指定的X范围和Y范围。下面是我目前的code：

I am new to matplotlib. I have a list of x-y coordinates that I update in python and want to animate using matplotlib's pyplot. I want to specify the x-range and y-range in advance. Below is my current code:

import matplotlib.pyplot as plt
x=[1,2,3,4]
y=[5,6,7,8]
for t in range(100):
    #lists x and y get updated here
    #...
plt.plot(x, y, marker='o', linestyle='None')
plt.show()

正如你所看到的，我用 plt.plot（）和 plt.show（）的在我的迭代循环的结束的仅绘制最终坐标。但是我想把这个步骤的 的内循环和情节在每次迭代与指定的暂停时间，让我有一个动画作为循环运行。

As you can see, I use plt.plot() and plt.show() at the end of my iteration loop to plot only the final coordinates. But I want to put this step inside the loop and plot at every iteration with a specified pause time so that I have an animation as the loop runs.

只是移动该声明内循环或调整其周围不工作。
我想保持它很简单，虽然，不希望使用 matplotlib.animation 。有没有使用更多的模块和库的一些简单的方法（只喜欢的东西plt.pause（），更或许只是一个位），这将让我做我想要什么？

Just moving that statement inside the loop or tweaks thereabout aren't working. I want to keep it very simple though, and don't want to use matplotlib.animation. Is there some simple method without using many more modules and libraries (only stuff like plt.pause() and perhaps only a bit more) that will let me do what I want?

我看了看网上很多地方，我面对大多数方法问题存在，我在Windows上使用python（X，Y）（这是Python版本2.7）这一点，并使用过于复杂的模块和库动画在这里崩溃。

I looked at many places online, and the problem I face with most methods there is that I am using python(x,y) (that's python version 2.7) on Windows for this, and animations using too complicated modules and libraries are crashing here.

不过，我能够运行像这个例子上的matplotlib网站，这是接近我想要的，但并不完全。因此，也许最好的事情将本实施例的变形例，对于我的二维数据的情况下（即实施例为一维行）的工作原理。但是，任何其他建议是值得欢迎的。

However, I am able to run simple stuff like this example on the matplotlib site, which is close to what I want, but not quite. So perhaps the best thing will be a modification of this example that works for my case of 2D data (that example is for a 1D row). But any other suggestion is welcome.

推荐答案

这是从演示动画改编：

import matplotlib.pyplot as plt 
import numpy as np

fig, ax = plt.subplots()

x = [1, 2, 3, 4]
y = [5, 6, 7, 8]

for t in range(10):
    if t == 0:
        points, = ax.plot(x, y, marker='o', linestyle='None')
        ax.set_xlim(0, 10) 
        ax.set_ylim(0, 10) 
    else:
        new_x = np.random.randint(10, size=5)
        new_y = np.random.randint(10, size=5)
        points.set_data(new_x, new_y)
    plt.pause(0.5)

虽然这是简单的文档字符串说，它是缓慢的。

While this is simple the docstring say that it is slow.

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