How do I plot two countplot graphs side by side in seaborn?

Question

I am trying to plot two countplots showing the counts of batting and bowling. I tried the following code:

l=['batting_team','bowling_team'] for i in l:     sns.countplot(high_scores[i])     mlt.show() 

But by using this , I am getting two plots one below the other. How can i make them order side by side?

Answer 1

Something like this:

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() 

The idea is to specify the subplots in the figure - there are numerous ways to do this but the above will work fine.

Answer 2

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()