How to rename column names in a Pandas DataFrame?



To rename columns in a Pandas DataFrame, we can override df.columns with the new column names.

Steps

  • Create a two-dimensional, size-mutable, potentially heterogeneous tabular data, df.

  • Print the input DataFrame.

  • Override the columns with new list of column names.

  • Print the DataFrame again with the renamed column names.

Example

 Live Demo

import pandas as pd df = pd.DataFrame(    {       "x": [5, 2, 1, 9],       "y": [4, 1, 5, 10],       "z": [4, 1, 5, 0]    } ) print("Input DataFrame is:
", df) df.columns = ["a", "b", "c"] print("After renaming, DataFrame is:
", df)

Output

Input DataFrame is:    x  y  z 0  5  4  4 1  2  1  1 2  1  5  5 3  9 10  0 After renaming, DataFrame is:    a  b  c 0  5  4  4 1  2  1  1 2  1  5  5 3  9 10  0
Updated on: 2021-08-30T09:15:30+05:30

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