Pandas: Remove whitespaces, left sided whitespaces and right sided whitespaces of the string values of a given pandas series

Last update on December 21 2024 07:55:27 (UTC/GMT +8 hours)

Write a Pandas program to remove whitespaces, left sided whitespaces and right sided whitespaces of the string values of a given pandas series.

Sample Solution:

Python Code :

import pandas as pd
color1 = pd.Index([' Green', 'Black ', ' Red ', 'White', ' Pink '])
print("Original series:")
print(color1)
print("\nRemove whitespace")
print(color1.str.strip())
print("\nRemove left sided whitespace")
print(color1.str.lstrip())
print("\nRemove Right sided whitespace")
print(color1.str.rstrip())

Sample Output:

Original series:
Index([' Green', 'Black ', ' Red ', 'White', ' Pink '], dtype='object')

Remove whitespace
Index(['Green', 'Black', 'Red', 'White', 'Pink'], dtype='object')

Remove left sided whitespace
Index(['Green', 'Black ', 'Red ', 'White', 'Pink '], dtype='object')

Remove Right sided whitespace
Index([' Green', 'Black', ' Red', 'White', ' Pink'], dtype='object')

Python Code Editor:

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