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?
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.
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()
