就像这样：

import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt

batData = ['a','b','c','a','c']
bowlData = ['b','a','d','d','a']

df=pd.DataFrame()
df['batting']=batData
df['bowling']=bowlData

fig, ax =plt.subplots(1,2)
sns.countplot(df['batting'], ax=ax[0])
sns.countplot(df['bowling'], ax=ax[1])
fig.show()

我们的想法是指定图中的子图-有很多方法可以做到这一点，但上面的工作很好。

import matplotlib.pyplot as plt
l=['batting_team', 'bowling_team']
figure, axes = plt.subplots(1, 2)
index = 0
for axis in axes:
  sns.countplot(high_scores[index])
  index = index+1
plt.show()