Renaming Columns in Python pandas

Changing column names in a pandas DataFrame is a common task, often done to make data more readable, comply with naming conventions, or prepare for data processing steps. Column names can be changed using the rename method or by directly assigning a new list of column names to the columns attribute of the DataFrame. The rename method is more flexible as it allows you to rename only specific columns without needing to specify all column names.

Here's an example showing how to rename columns in a DataFrame:

# Rename columns using the 'rename' method
loan_data_cleaned = loan_data_cleaned.rename(columns={
    'CustomerName': 'ClientName',
    'LoanAmount': 'Amount',
    'LoanStartDate': 'StartDate',
    'LoanEndDate': 'EndDate'
})

# Alternatively, to rename all columns directly:
# loan_data_cleaned.columns = ['NewCol1', 'NewCol2', 'NewCol3', ..., 'NewColN']

# Verify the changes
print(loan_data_cleaned.columns)

Related Downloads

Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book includes PDFs, explanations, instructions, data files, and R code for all examples.

Get the Bundle for $39 (Regular $57)
JOIN 30,000 DATA PROFESSIONALS

Free Guides - Getting Started with R and Python

Enter your name and email address below and we will email you the guides for R programming and Python.

Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.