如何使用matplotlib实时绘制更新的numpy ndarray? [英] How do I plot an updating numpy ndarray in real time using matplotlib?

问题描述

我有一个使用 np.zeros 在循环外初始化的 numpy 数组.使用for循环内的某些函数更新此数组.我希望绘制数组，因为它随着每次迭代而变化.

我在这里看到的大多数答案都是针对列表的，而不是针对ndarrays的.我看过以下链接.我曾尝试为其中的一些目的进行修改，但无济于事.

如何在 matplotlib 中更新绘图?

https://github.com/stsievert/python-drawnow/blob/master/drawnow/drawnow.py @Scott Sievert，我也看到了你的代码.但遗憾的是，我一直无法弄清楚如何修改它.

在 Python 中使用 matplotlib 和 kivy 实时绘图

在 Python 中使用 matplotlib 和 kivy 实时绘图

实时轨迹绘制-Matplotlib

https://realpython.com/python-matplotlib-guide/

https://gist.github.com/vaclavcadek/66c9c61a1fac30150514a665c4bcb5dc

http://jakevdp.github.io/博客/2012/08/18/matplotlib-animation-tutorial/

Matplotlib:动画2D数组

所以基本上我想实时查看ndarray y的值.(请参见下面的代码)

我正在将其作为脚本运行.@ Scott Staniewicz

from numpy.random import random_sample从 numpy 导入范围，零x =范围(0，10)y = 零((10, 1))对于范围内的我(10):y[i] = sin(random_sample())

解决方案

最基本的版本应该是

将 numpy 导入为 np导入matplotlib.pyplot作为pltx = np.arange(0, 10)y = np.zeros((10, 1))无花果= plt.figure()线，= plt.plot(x,y)ylim(-0.2,1.2)对于范围内的我(10):y[i] = np.sin(np.random.random_sample())line.set_data(x[:i+1], y[:i+1])请暂停(1)plt.show()

I have a numpy array which I initialized outside the loop using np.zeros. This array is updated using some function inside a for a loop. I wish to plot the array as it changes with each iteration.

Most of the answers I have seen here are for lists and not ndarrays. I have seen the following links. Some of them I have tried to modify for my purpose but to no avail.

How to update a plot in matplotlib?

https://github.com/stsievert/python-drawnow/blob/master/drawnow/drawnow.py @Scott Sievert, I saw your code too. But unfortunately, I haven't been able to figure out how to modify it.

Real-time plotting using matplotlib and kivy in Python

Real-time plotting using matplotlib and kivy in Python

Real time trajectory plotting - Matplotlib

https://realpython.com/python-matplotlib-guide/

https://gist.github.com/vaclavcadek/66c9c61a1fac30150514a665c4bcb5dc

http://jakevdp.github.io/blog/2012/08/18/matplotlib-animation-tutorial/

Matplotlib: Animate 2D Array

So basically I want to see the value of the ndarray y in real-time. (see the code below)

I am running it as a script.@Scott Staniewicz

from numpy.random import random_sample
from numpy import arange, zeros
x = arange(0, 10)
y = zeros((10, 1))
for i in range(10):
    y[i] = sin(random_sample())

解决方案

The most basic version would look like

import numpy as np
import matplotlib.pyplot as plt

x = np.arange(0, 10)
y = np.zeros((10, 1))

fig = plt.figure()
line, = plt.plot(x,y)
plt.ylim(-0.2,1.2)

for i in range(10):
    y[i] = np.sin(np.random.random_sample())
    line.set_data(x[:i+1], y[:i+1])
    plt.pause(1)

plt.show()

这篇关于如何使用matplotlib实时绘制更新的numpy ndarray?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！