Question

我有一个pandas DataFrame列表，每个列有2列。到目前为止，我有一个函数，当给定索引i时，它采用对应于索引i的帧，并绘制第一列中的数据与第二列数据的关系图。

    list = [f0,f1,f2,f3,f4,f5,f6,f7,f8,f9]
    def getGraph(i):
        frame = list[i]
        frame.plot(x = "firstColumn",y = "secondColumn")
        return 0

我现在的问题是，如何在帧列表上进行迭代，并为连续0.3秒显示每个帧的图形设置动画。

最好，我想在动画库中使用FuncAnimation类，它可以为您提供繁重的工作和优化。

Answer 1

将animate函数和init设置为轴，图和线：

from matplotlib import pyplot as plt
from matplotlib import animation
import pandas as pd

f0 = pd.DataFrame({'firstColumn': [1,2,3,4,5], 'secondColumn': [1,2,3,4,5]})
f1 = pd.DataFrame({'firstColumn': [5,4,3,2,1], 'secondColumn': [1,2,3,4,5]})
f2 = pd.DataFrame({'firstColumn': [5,4,3.5,2,1], 'secondColumn': [5,4,3,2,1]})

# make a global variable to store dataframes
global mylist
mylist=[f0,f1,f2]

# First set up the figure, the axis, and the plot element we want to animate
fig = plt.figure()
ax = plt.axes(xlim=(0, 5), ylim=(0, 5))
line, = ax.plot([], [], lw=2)

# initialization function: plot the background of each frame
def init():
    line.set_data([], [])
    return line,

# animation function of dataframes' list
def animate(i):
    line.set_data(mylist[i]['firstColumn'], mylist[i]['secondColumn'])
    return line,

# call the animator, animate every 300 ms
# set number of frames to the length of your list of dataframes
anim = animation.FuncAnimation(fig, animate, frames=len(mylist), init_func=init, interval=300, blit=True)

plt.show()

有关详细信息，请查看教程：https://jakevdp.github.io/blog/2012/08/18/matplotlib-animation-tutorial/

Matplotlib动画迭代pandas数据帧列表

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