matplotlib_200730系列---14、Animation 动画

matplotlib_200730系列---14、Animation 动画

一、总结

一句话总结：

ani=animation.FuncAnimation(fig=fig,func=animate,frames=100,init_func=init,interval=20,blit=False)

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

# Create a figure and a set of subplots.
fig,ax=plt.subplots()
x=np.arange(0,2*np.pi,0.01)
# print(x)
line,=ax.plot(x,np.sin(x))
# print(line)

# 动画
def animate(i): 
    line.set_ydata(np.sin(x+i/100))
    return line,

# 初始化页面
def init(): 
    line.set_ydata(np.sin(x))
    return line,

# frames=100 帧
# interval=20 ms
# blit=False 整张图全部更新blit的值就是false，只更新修改点值就是true
ani=animation.FuncAnimation(fig=fig,func=animate,frames=100,
                            init_func=init,interval=20,blit=False)

plt.show()

1、jupyter notebook matplotlib绘制动态图不能显示怎么办？

引入pylab库，加上%pylab就可以画出动态库了：Using matplotlib backend: Qt5Agg

from matplotlib import pylab
%pylab

Using matplotlib backend: Qt5Agg
Populating the interactive namespace from numpy and matplotlib

二、Animation 动画

博客对应课程的视频位置：

In [5]:

from matplotlib import pylab
# 加了这句话，即可在jupyter notebook中显示动态图
%pylab

Using matplotlib backend: Qt5Agg
Populating the interactive namespace from numpy and matplotlib

In [6]:

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

fig,ax=plt.subplots()
x=np.arange(0,2*np.pi,0.01)
line,=ax.plot(x,np.sin(x))

def animate(i): 
    line.set_ydata(np.sin(x+i/100))
    return line,

def init(): 
    line.set_ydata(np.sin(x))
    return line,

ani=animation.FuncAnimation(fig=fig,func=animate,frames=100,
                            init_func=init,interval=20,blit=False)

plt.show()

In [ ]: