Python 将2个数据帧合并为一个图形

我有两个单独的数据帧，看起来完全相同，但其中的数字不同

df = pd.DataFrame({'clip emotes':[79,223,435,291,188,99,153,50,55,78,83,48,43,73]}, index=['roohappy','rooblank','lul','omegalul','pog','pogchamp','roovv','roowut','roopog','pepehands','biblethumb','roocry','rooree','rooblind'])
df

及

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然后我分别对这两个对象进行

df.plot（kind='bar'）

。我想不出如何将这两个数据放在一个图形中，一个放在另一个图形上，这样一个具有相同名称的条形图将覆盖另一个具有不同颜色的条形图

您可以加入他们：

import pandas as pd
import matplotlib.pyplot as plt

df1 = pd.DataFrame({'clip emotes':[79,223,435,291,188,99,153,50,55,78,83,48,43,73]}, index=['roohappy','rooblank','lul','omegalul','pog','pogchamp','roovv','roowut','roopog','pepehands','biblethumb','roocry','rooree','rooblind'])
df2 = pd.DataFrame({'vod emotes':[3963,7286,5560,4390,3386,3111,2639,2612,2422,1999,1948,1691,1654,1573,1308,1090,1024,1019,1019,974,945,912,893,856,790,771,731,677,658,652]}, index=['rood','roovv','pepega','lul','clap','rookek','roocult','rooblank','pog','rooree','rooaww','roohappy','omegaroll','rooduck','rooh','rareroo','roocry','pepehand','lulw','rooderp','roopog','hyperclap','roospy','rooayaya','omegalul','roolove','roowut','roonya','monkas','roo4'])

df3 = df2.join(df1)
df3.plot(kind='bar', stacked=True)
plt.tight_layout()

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堆叠条形图？

import pandas as pd
import matplotlib.pyplot as plt

df1 = pd.DataFrame({'clip emotes':[79,223,435,291,188,99,153,50,55,78,83,48,43,73]}, index=['roohappy','rooblank','lul','omegalul','pog','pogchamp','roovv','roowut','roopog','pepehands','biblethumb','roocry','rooree','rooblind'])
df2 = pd.DataFrame({'vod emotes':[3963,7286,5560,4390,3386,3111,2639,2612,2422,1999,1948,1691,1654,1573,1308,1090,1024,1019,1019,974,945,912,893,856,790,771,731,677,658,652]}, index=['rood','roovv','pepega','lul','clap','rookek','roocult','rooblank','pog','rooree','rooaww','roohappy','omegaroll','rooduck','rooh','rareroo','roocry','pepehand','lulw','rooderp','roopog','hyperclap','roospy','rooayaya','omegalul','roolove','roowut','roonya','monkas','roo4'])

df3 = df2.join(df1)
df3.plot(kind='bar', stacked=True)
plt.tight_layout()