Python | Pandas Series.rename_axis()

Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Pandas Series.rename_axis() function is used to set the name of the axis for the index or columns.

Syntax: Series.rename_axis(mapper=None, index=None, columns=None, axis=None, copy=True, inplace=False) Parameter : mapper : Value to set the axis name attribute. index, columns : A scalar, list-like, dict-like or functions transformations to apply to that axis’ values. axis : The axis to rename. copy : Also copy underlying data. inplace : Modifies the object directly, instead of creating a new Series or DataFrame. Returns : Series, DataFrame, or None

Example #1: Use Series.rename_axis() function to rename the axis of the given Series object. Python3

# importing pandas as pd
import pandas as pd

# Creating the Series
sr = pd.Series([10, 25, 3, 11, 24, 6])

# Create the Index
index_ = ['Coca Cola', 'Sprite', 'Coke', 'Fanta', 'Dew', 'ThumbsUp']

# set the index
sr.index = index_

# Print the series
print(sr)

Output : Now we will use Series.rename_axis() function to rename the axis of the given series object. Python3 1==

# rename the axis
result = sr.rename_axis('Beverages')

# Print the result
print(result)

Output : As we can see in the output, the Series.rename_axis() function has successfully renamed the axis of the given series object.   Example #2 : Use Series.rename_axis() function to rename the MultiIndex axis of the given Series object. Python3

# importing pandas as pd
import pandas as pd

# Creating the Series
sr = pd.Series(['New York', 'Chicago', 'Toronto', 'Lisbon', 'Rio'])

# Create the MultiIndex
index_ = pd.MultiIndex.from_product([['Names'], ['City 1', 'City 2', 'City 3', 'City 4', 'City 5']],
                                                                     names =['Level 1', 'Level 2'])

# set the index
sr.index = index_

# Print the series
print(sr)

Output : Now we will use Series.rename_axis() function to rename the axis of the given series object. Python3 1==

# rename both the levels of the axis of 
# the given series object
result = sr.rename_axis(['First_level', 'Second_level'])

# Print the result
print(result)

Output : As we can see in the output, the Series.rename_axis() function has successfully renamed both the levels of the axis of the given series object.