Setting the name of the axes in Pandas DataFrame

There are multiple operations which can be performed over the exes in Pandas. Let's see how to operate on row and column index with examples. For link to the CSV file used in the code, click here.

Reset the name of the row index.

Code #1 : We can reset the name of the DataFrame index by using df.index.name attribute. Python3 1==

# importing pandas as pd
import pandas as pd

# read the csv file and create DataFrame
df = pd.read_csv('nba.csv')

# Visualize the dataframe
print(df)

Output : Python3

# set the index name
df.index.name = 'Index_name'

# Print the DataFrame
print(df)

Output :   Code #2 : We can reset the name of the DataFrame index by using df.rename_axis() function. Python3 1==

# importing pandas as pd
import pandas as pd

# read the csv file and create DataFrame
df = pd.read_csv('nba.csv')

# reset the index name
df.rename_axis('Index_name', axis = 'rows')

# Print the DataFrame
print(df)

Output :

Reset the name of the column axes

Code #1 : We can reset the name of the DataFrame column axes by using df.rename_axis() function. Python3 1==

# importing pandas as pd
import pandas as pd

# read the csv file and create DataFrame
df = pd.read_csv('nba.csv')

# Visualize the dataframe
print(df)

Output : As we can see in the output, column axes of the df DataFrame does not have any name. So, we will set the name using df.rename_axis() function. Python3

# set the name of column axes
df.rename_axis('Column_Index_name', axis = 'columns')

# Print the DataFrame
print(df)

Output :