Python | Pandas Series.rename()

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() function is used to alter Series index labels or name for the given Series object.

Syntax: Series.rename(index=None, **kwargs)

Parameter :
index : dict-like or functions are transformations to apply to the index
copy : Also copy underlying data
inplace : Whether to return a new Series. If True then value of copy is ignored.
level : In case of a MultiIndex, only rename labels in the specified level.

Returns : Series, DataFrame, or None



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

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# 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)

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Output :

Now we will use Series.rename() function to rename the name of the given series object.

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# rename the series
result = sr.rename('Beverages')
  
# Print the result
print(result)

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Output :


As we can see in the output, the Series.rename() function has successfully renamed the given series object.

Example #2: Use Series.rename() function to rename the MultiIndex axis of the given Series object.

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# 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)

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Output :

Now we will use Series.rename() function to rename the 0th level of the given series object.

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# rename the 0th level
result = sr.rename(level = 0, index = 'Row_axis')
  
# Print the result
print(result)

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Output :

As we can see in the output, the Series.rename() function has successfully renamed the 0th level of the given series object.




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Improved By : Akanksha_Rai