animation.Funcanimation（）Matplotlib/如何正确使用它？

样本数据：

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代码：

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当我单独使用动作函数时，它可以工作，但我不能在animation.Funcanimation（）函数中使用它。我想根据年份改变酒吧的高度

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试试这个。颜色由“颜色”指定

import pandas as pd
import numpy as np
import io

data = '''
Area    Africa  Asia    Europe  N_America   S_America   Australia   Antarctica
Y1961   -0.17   0.49    8.74    0.17    1.16    1.51    2.80
Y1962   -0.40   -0.08   3.00    -0.58   -1.39   1.23    -2.27
Y1963   0.64    2.66    1.03    3.72    1.39    -1.14   1.35
Y1964   -1.53   -1.66   -5.23   -2.85   -2.17   -0.22   -3.66
Y1965   -1.97   -0.33   -4.30   -5.94   -0.15   1.27    -0.99
'''

df = pd.read_csv(io.StringIO(data), delim_whitespace=True)

import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
# from matplotlib.animation import PillowWriter

idx = df.columns[1:].tolist()
colors = ['m','g','c','k','y']

fig = plt.figure()
ax = plt.axes(xlim=(0,6), ylim=(-10, 10))
# ax.set_xticklabels(idx, rotation=30)
    
def animate(i):
    ax.cla()
    ax.bar(idx, df.iloc[i,1:], color=colors)
    ax.set_ylim(-10, 10)
    return fig,

anim = FuncAnimation(fig, animate, frames=5, interval=200, repeat=False)
plt.show()
# anim.save('bar_ani.gif', writer='pillow')

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如果没有玩具样的样本数据，我不确定您想要制作什么动画。弄清楚你想要使用什么样的数据，你想要围绕它制作什么动画，你想要传达什么。好吧，我的错，我在添加。谢谢你的推荐。

n=len(Continents.index)
fig,ax=plt.subplots()
def action(curr): 
    global colors
    global cmap
    global Continents
    global color_dict
    if curr==n:
        a.event_source.stop()
    CURR=Continents.iloc[curr] 
    ax = plt.gca()
    ticks(curr)
    bars = plt.bar(Continents.columns,CURR,color=[color_dict[country] for country in Continents.columns]) 
    for bar,height in zip(bars,CURR):
        return bar.set_height(height)
         
a = animation.FuncAnimation(fig,action, interval=100, frames=np.array(range(0,n)))

import pandas as pd
import numpy as np
import io

data = '''
Area    Africa  Asia    Europe  N_America   S_America   Australia   Antarctica
Y1961   -0.17   0.49    8.74    0.17    1.16    1.51    2.80
Y1962   -0.40   -0.08   3.00    -0.58   -1.39   1.23    -2.27
Y1963   0.64    2.66    1.03    3.72    1.39    -1.14   1.35
Y1964   -1.53   -1.66   -5.23   -2.85   -2.17   -0.22   -3.66
Y1965   -1.97   -0.33   -4.30   -5.94   -0.15   1.27    -0.99
'''

df = pd.read_csv(io.StringIO(data), delim_whitespace=True)

import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
# from matplotlib.animation import PillowWriter

idx = df.columns[1:].tolist()
colors = ['m','g','c','k','y']

fig = plt.figure()
ax = plt.axes(xlim=(0,6), ylim=(-10, 10))
# ax.set_xticklabels(idx, rotation=30)
    
def animate(i):
    ax.cla()
    ax.bar(idx, df.iloc[i,1:], color=colors)
    ax.set_ylim(-10, 10)
    return fig,

anim = FuncAnimation(fig, animate, frames=5, interval=200, repeat=False)
plt.show()
# anim.save('bar_ani.gif', writer='pillow')