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numpngw和matplotlib生成png动画 使用numpngw和matplotlib生成png动画的代码实例

mighty13 人气:0

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。

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

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

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

# 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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