Remove Leading and Trailing Whitespace from Multiple Columns in Pandas

To remove leading or trailing whitespace, use the strip() method. At first, create a DataFrame with 3 columns “Product Category”, “Product Name” and “Quantity” −

dataFrame = pd.DataFrame({
   'Product Category': [' Computer', ' Mobile Phone', 'Electronics ', 'Appliances', ' Furniture', 'Stationery'],'Product Name': ['Keyboard', 'Charger', ' SmartTV', 'Refrigerators', ' Chairs', 'Diaries'],'Quantity': [10, 50, 10, 20, 25, 50]})

Removing whitespace from more than one column −

dataFrame['Product Category'].str.strip()
dataFrame['Product Name'].str.strip()

Example

Following is the complete code −

import pandas as pd

# create a dataframe with 3 columns
dataFrame = pd.DataFrame({
   'Product Category': [' Computer', ' Mobile Phone', 'Electronics ', 'Appliances', ' Furniture', 'Stationery'],'Product Name': ['Keyboard', 'Charger', ' SmartTV', 'Refrigerators', ' Chairs', 'Diaries'],'Quantity': [10, 50, 10, 20, 25, 50]})

# removing whitespace from more than 1 column
dataFrame['Product Category'].str.strip()
dataFrame['Product Name'].str.strip()

# dataframe
print"Dataframe after removing whitespaces...\n",dataFrame

Output

This will produce the following output −

Dataframe after removing whitespaces...
   Product Category   Product Name   Quantity
0         Computer       Keyboard         10
1     Mobile Phone        Charger         50
2      Electronics        SmartTV         10
3       Appliances  Refrigerators         20
4        Furniture         Chairs         25
5       Stationery        Diaries         50