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.
# 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' ) # 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.
# 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.
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