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.
# 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.
# rename the axis result = sr.rename_axis('Beverages') Â Â # 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.
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Example #2 : Use Series.rename_axis() function to rename the MultiIndex axis of the given Series object.
# 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.
# 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.
