Python | Pandas DataFrame.transform

Python | Pandas dataframe.rename_axis()

Last Updated : 16 Nov, 2018

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

dataframe.rename_axis() is used to rename the axes of the index or columns in dataframe.

Syntax: DataFrame.rename_axis(mapper, axis=0, copy=True, inplace=False)

Parameters:
mapper : [scalar, list-like, optional] Value to set the axis name attribute.
axis : int or string, default 0
copy : [iboolean, default True] Also copy underlying data
inplace :boolean, default False

Returns: renamed : type of caller or None if inplace=True

For link to CSV file Used in Code, click here

Example #1: Replace team “Boston Celtics” with “Omega Warrior” in the nba.csv file

# importing pandas as pd 
import pandas as pd 
  
# Making data frame from the csv file 
df = pd.read_csv("nba.csv") 
  
# Printing the first 10 rows of the  
# dataframe for visualization 
df[:10] 

Output:

We are going to change the row indexes and increase the value by twice.

# this will Increase the row index value by twice 
df.rename_axis(lambda x:x * 2, axis ="index") 

Output:

Example #2: Changing the column name

# importing pandas as pd 
import pandas as pd 
  
# Making data frame from the csv file 
df = pd.read_csv("nba.csv") 
  
# this will add '_X' at the end of each column name 
df.rename_axis(lambda x:x+"_X", axis ="columns") 

Output:

Python | Pandas DataFrame.transform

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