pandas how to rename multiple columns

Title: Renaming Multiple Columns in Pandas: A Step-by-Step Tutorial
Introduction:
Pandas is a powerful and widely used data manipulation library in Python. One common task in data analysis is renaming columns in a DataFrame. This tutorial will guide you through the process of renaming multiple columns using Pandas, with detailed code examples.
Step 1: Import Pandas
Before we begin, make sure to import the Pandas library into your Python environment. If you don't have it installed, you can install it using the following command:
Now, import Pandas in your script or Jupyter Notebook:
Step 2: Create a DataFrame
For the purpose of this tutorial, let's create a sample DataFrame:
Step 3: Rename Columns
To rename multiple columns in Pandas, you can use the rename() method. The method takes a dictionary where keys are the current column names, and values are the desired new names.
Note that setting inplace=True modifies the DataFrame in-place. If you prefer not to modify the original DataFrame and create a new one with the changes, you can omit this parameter.
Step 4: Rename Columns with a Function
If you need more flexibility in renaming columns, you can use a function. The rename() method allows you to pass a function that will be applied to each column name.
Conclusion:
Renaming multiple columns in a Pandas DataFrame is a straightforward process using the rename() method. Whether you prefer a direct mapping or want to apply a function to the column names, Pandas provides flexibility to meet your needs. Incorporate these techniques into your data analysis workflows to make your code more readable and meaningful.
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