Pandas: Rename a specific column name in a given DataFrame

Last update on December 21 2024 07:42:07 (UTC/GMT +8 hours)

Write a Pandas program to rename a specific column name in 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 second column:
col1 Column2 col3
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=df.rename(columns = {'col2':'Column2'})
print("New DataFrame after renaming second column:")
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 second column:
   col1  Column2  col3
0     1        4     7
1     2        5     8
2     3        6     9              

Explanation:

The above code first creates a dataframe ‘df’ with three columns 'col1', 'col2' and 'col3', and three rows with some values.

df=df.rename(columns = {'col2':'Column2'}): This code renames the 'col2' column to 'Column2' using the rename method of Pandas. The new dataframe ‘df’ now has columns 'col1', 'Column2' and 'col3' with the same values as before, except for the renamed column 'Column2'. The original column name 'col2' is no longer present in the dataframe.

Python-Pandas Code Editor:

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