pandas_example.py

#!/usr/bin/env python

"""What is the difference between map and apply?"""

import pandas as pd


df = pd.DataFrame([(1, 2, 3), (5, 6, 7), (9, 0, 1), (3, 4, 5)],
                  columns=list('abc'),
                  index=['India', 'France', 'England', 'Germany'])
df['b'] = df['a']
df['c'] = df['a']
print(df)

# Is there a difference between .map and .apply?
df['b'] = df['b'].map(lambda x: x**2)
df['c'] = df['c'].apply(lambda x: x**2)
print(df)