Sometime, DataFrame.plot() inside a for loop produces multiple charts.

import pandas as pd

data = {'Str': ['A', 'A', 'B', 'B'], 'Num': [i for i in range(4)]}
df = pd.DataFrame(data)
for n in ['A', 'B']:
  df[df.Str == n].plot(kind='bar')

But sometimes, it produces a single chart.

import pandas as pd

data = {'C1': ['A', 'A', 'B', 'B'], 
        'C2': [i for i in range(4)],
        'C3': [1,2,1,2]}
df = pd.DataFrame(data)
for n in [1,2]:
  df[df.C3 == n].groupby('C1').C2.sum().plot(kind='bar')

From the previous code, if plt.show() was added at the end of the loop. It will produce multiple charts.

import pandas as pd
import matplotlib.pyplot as plt


data = {'C1': ['A', 'A', 'B', 'B'], 
        'C2': [i for i in range(4)],
        'C3': [1,2,1,2]}
df = pd.DataFrame(data)
for n in [1,2]:
  df[df.C3 == n].groupby('C1').C2.sum().plot(kind='bar')
  plt.show()

I don’t want to use plt.show(). Actually I want to import only pandas and create multiple charts using a for loop.