Renaming columns in Pandas DataFrame

The Python Pandas module is a high performance, highly reliable, and high level data analytical library. The primary object in Pandas is called a DataFrame . The data in the DataFrame columns can contain alphanumerical characters or logical data and can be of the same type. Renaming DataFrame column headers is quite useful when you load a grid of data that has no column headers or if you want to assign different column headers to specific columns .

syntax:

 
DataFrame.rename({'old_name': 'new_name'}, axis=1, inplace=True)

The DataFrame.rename shows that it accepts a dict as a parameter for columns headers, so you just pass a dict with a single entry.

 
df.rename({'Name': 'Students_name', 'Promoted': 'IsPromoted'}, axis=1, inplace=True)

example:

Create a Pandas DataFrame with data

 
import pandas as pd
import numpy as np
df = pd.DataFrame()
df['Name'] = ['John', 'Doe', 'Bill','Jim','Harry','Ben']
df['TotalMarks'] = [82, 38, 63,22,55,40]
df['Grade'] = ['A', 'E', 'B','E','C','D']
df['Promoted'] = [True, False,True,False,True,True]
df

 
    Name  TotalMarks Grade  Promoted
0   John          82     A      True
1    Doe          38     E     False
2   Bill          63     B      True
3    Jim          22     E     False
4  Harry          55     C      True
5    Ben          40     D      True

Reanme DataFrame column headers

 
df.rename({'Name': 'Students_name', 'Promoted': 'IsPromoted'}, axis=1, inplace=True)
df

 
  Students_name  TotalMarks Grade  IsPromoted
0          John          82     A        True
1           Doe          38     E       False
2          Bill          63     B        True
3           Jim          22     E       False
4         Harry          55     C        True
5           Ben          40     D        True

explanation:

In the above output rename column header Name to Students_name and Promoted to IsPromoted.

 
DataFrame.rename({'old_name': 'new_name'}, axis=1, inplace=True)

Property	Description
old_name	Old column header.
new_name	Newly assinged column header.
axis=1	It's a column-wise operation.
inplace=True	The data is renamed in place, returns None.

Next : Get a List of all Column Names in Pandas DataFrame