在matplotlib官网看到了第三方库numpngw的简介,利用该库作为插件可以辅助matplotlib生成png动画。
numpngw概述
numpngw库可生成PNG静态图像和PNG动画。
- 通过write_png函数可以将 numpy保存为PNG 文件。
- 通过 write_apng 函数可以将数组序列保存为 PNG 动画(APNG)文件 。
- 通过AnimatedPNGWriter类可以将Matplotlib 保存为PNG动画文件。
numpngw库的依赖包是numpy和setuptools。
使用numpngw和matplotlib生成png动画
numpngw+matplotlib实现png动画
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import numpy as np from matplotlib import pyplot as plt import matplotlib.animation as animation from numpngw import AnimatedPNGWriter t = np.linspace( 0 , 6 , 100 ) x = 16 * np.sin(t) * * 3 y = 13 * np.cos(t) - 5 * np.cos( 2 * t) - 2 * np.cos( 3 * t) - np.cos( 4 * t) data = [i for i in zip (x,y)] def plot_love(data): x, y = data plt.scatter(x, y, 60 , c = "r" , alpha = 0.7 , marker = r "$\heartsuit$" ) fig = plt.figure(figsize = ( 5 , 3 ), dpi = 100 ) plt.axis( "off" ) writer = AnimatedPNGWriter(fps = 12 ) animator = animation.FuncAnimation(fig, plot_love, frames = data) animator.save( "love.png" , writer = writer) |
使用matplotlib和pillow实现gif动画
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from matplotlib import pyplot as plt import matplotlib.animation as animation import numpy as np t = np.linspace( 0 , 6 , 100 ) x = 16 * np.sin(t) * * 3 y = 13 * np.cos(t) - 5 * np.cos( 2 * t) - 2 * np.cos( 3 * t) - np.cos( 4 * t) data = [i for i in zip (x,y)] def plot_love(data): x, y = data plt.scatter(x, y, 60 , c = "r" , alpha = 0.7 , marker = r "$\heartsuit$" ) fig = plt.figure(figsize = ( 5 , 3 ), dpi = 100 ) plt.axis( "off" ) animator = animation.FuncAnimation(fig, plot_love, frames = data, interval = 80 ) animator.save( "love.gif" , writer = 'pillow' ) |
关键代码解读
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# 导入AnimatedPNGWriter from numpngw import AnimatedPNGWriter # 初始化AnimatedPNGWriter writer = AnimatedPNGWriter(fps = 12 ) # 将save函数中的writer参数设为AnimatedPNGWriter实例 animator.save( "love.png" , writer = writer) |
通过对比可知,使用 numpngw+matplotlib生成png动画方式非常简单,只用初始化AnimatedPNGWriter,在save函数中指定writer即可。
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原文链接:https://blog.csdn.net/mighty13/article/details/111570247