Python | Pandas Series.axes

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

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.axes attribute returns a list of row axis labels of the given Series object.



Syntax:Series.axes

Parameter : None

Returns : list of row axis labels

Example #1: Use Series.axes attribute to return the row axis labels 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'])
  
# Creating the row axis labels
sr.index = ['City 1', 'City 2', 'City 3', 'City 4'] 
  
# Print the series
print(sr)

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Output : 




Now we will use Series.axes attribute to return a list of row axis labels for the given Series object.













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# return the element at the first position 


sr.axes 



















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Output : 



As we can see in the output, the Series.axes attribute has returned a list containing the labels of the row axes for the given Series object.

 

Example #2 :  Use Series.axes attribute to return the row axis labels of the given Series object.











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# importing pandas as pd 


import pandas as pd 


  


# Creating the Series 


sr = pd.Series(['1/1/2018', '2/1/2018', '3/1/2018', '4/1/2018']) 


  


# Creating the row axis labels 


sr.index = ['Day 1', 'Day 2', 'Day 3', 'Day 4'] 


  


# Print the series 


print(sr) 



















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Output : 




Now we will use Series.axes attribute to return a list of row axis labels for the given Series object.













                                    filter_none




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                                    close




                                    play_arrow




                                    link

                                    brightness_4

                                    code
                                




















# return the element at the first position 


sr.axes 



















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                        filter_none










Output : 




As we can see in the output, the Series.axes attribute has returned a list containing the labels of the row axes for the given Series object.



          
          
          
          

            

    

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