Python – Strip whitespace from a Pandas DataFrame

To strip whitespace, whether its leading or trailing, use the strip() method. At first, let us import thr required Pandas library with an alias −

import pandas as pd

Let’s create a DataFrame with 3 columns. The first column is having leading and trailing whitespaces −

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 a single column “Product Category” −

dataFrame['Product Category'].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 a single column
dataFrame['Product Category'].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