Series.rename_axis() Pandas Series.rename_axis() is used to set the axis name 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 () to rename the axis of this Series object.
# import pandas as pd
import pandas as pd
# Create series
sr = pd.Series ([ 10 , 25 , 3 , 11 , 24 , 6 ])
# Create index
index_ = [ ’Coca Cola’ , ’Sprite’ , ’Coke’ , ’ Fanta’ , ’Dew’ , ’ ThumbsUp’ ]
# set index
sr.index = index_
# Print series
print (sr)
Output:
We will now use Series. rename_axis () to rename the axis of the given object series object.
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Output:
As we can see in the output, Series.rename_axis () successfully renamed the axis of this series object.
Example # 2: Use Series.rename_axis () to rename the MultiIndex axis of this Series object.
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Output:
We will now use Series.rename_axis () to rename the axis of this series object .
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Exit d:
As we can see in the output, Series.rename_axis () has successfully renamed both axis levels of this series object.
