Pandas DataFrame: Rename columns of a given DataFrame

Last update on December 21 2024 07:41:57 (UTC/GMT +8 hours)

Write a Pandas program to rename columns of a given DataFrame.

Sample data:
Original DataFrame
col1 col2 col3
0 1 4 7
1 2 5 8
2 3 6 9
New DataFrame after renaming columns:
Column1 Column2 Column3
0 1 4 7
1 2 5 8
2 3 6 9

Sample Solution :

Python Code :

import pandas as pd
d = {'col1': [1, 2, 3], 'col2': [4, 5, 6], 'col3': [7, 8, 9]}
df = pd.DataFrame(data=d)
print("Original DataFrame")
print(df)
df.columns = ['Column1', 'Column2', 'Column3']
df = df.rename(columns={'col1': 'Column1', 'col2': 'Column2', 'col3': 'Column3'})
print("New DataFrame after renaming columns:")
print(df)

Sample Output:

Original DataFrame
   col1  col2  col3
0     1     4     7
1     2     5     8
2     3     6     9
New DataFrame after renaming columns:
   Column1  Column2  Column3
0        1        4        7
1        2        5        8
2        3        6        9                  

Explanation:

The above code first creates a Pandas DataFrame 'df' from a dictionary 'd' with 3 columns 'col1', 'col2', and 'col3'.

df = df.rename(columns={'col1': 'Column1', 'col2': 'Column2', 'col3': 'Column3'}): This line changes the column names of the DataFrame using two different methods. First, it sets the column names using the .columns attribute, and then it renames the columns using the .rename() method with a dictionary mapping the old column names to the new column names.

Finally, it prints the DataFrame with the new column names using print() function.

Python-Pandas Code Editor:

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