熊猫2个数据框成一张图

Question

我有2个单独的数据框，它们看起来完全相同，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

和

df = 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'])
df

，然后我分别为两个df.plot(kind = 'bar')。我无法弄清楚如何将这两个数据放在一个图上，从而使一个具有相同名称的条形图与另一个颜色不同的条形图重叠。

Answer 1

您可以加入他们的行列：

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()