Modifying Pandas Series Elements

If you know how to extract the series single element and Series slice, it is very simple for you to change the series elements. You can change a single element or a full slice of the series object.

Whatever you want to change in a series you have to access that element and assign it with the new value. 

Consider the following Series Object:

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import pandas as pd student = pd.Series( data = ["BOB", "JHON", "RAM", "MOHAN"], index = ['S1','S2','S3','S4']) print(student) ''' S1 BOB S2 JHON S3 RAM S4 MOHAN dtype: object '''





Following are the different types, using which you can modify the elements of a series object.

1. <series object> [<index>] = <new data value>
   To assign a new value you have to simply access the value using the Series label or index position as described below. Then you have to just provide the new value by giving the assignment operator.
   
   

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   student['S1'] = "JACK" student[2] = "PETER" print(student) ''' S1 JACK S2 JHON S3 PETER S4 MOHAN dtype: object '''

   
   
2. <series object> [start : stop] = <new data value>
   If you want to change a slice of values, you can provide the values using the colon (:), after that you can provide a scalar value or the value in the form of a list.
   
   

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   student['S3':'S4'] = "JACK" student[0:1] = "PETER" print(student) ''' S1 PETER S2 JHON S3 JACK S4 JACK dtype: object '''

   
   
3. loc and iloc attribute
   You can use loc or iloc to modify the existing values in the series. In both the cases you have to provide the new value using assignment operator.
   
   

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   student.loc['S3'] = "JACK" student.iloc[3] = "PETER" print(student) ''' S1 BOB S2 JHON S3 JACK S4 PETER dtype: object '''

For more clarification you can watch the follwing video lecture on this topic: