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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?

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2 Answers 2

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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() 

enter image description here

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

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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() 

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