Python | Pandas Series.asobject
Last Updated :
26 Jan, 2019
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.asobject
attribute returns an array of object data type. It converts the series data into an array of object type.
Syntax:Series.asobject
Parameter : None
Returns : array of objects
Example #1: Use Series.asobject
attribute to return object series containing boxed value for the given Series object.
import pandas as pd
sr = pd.Series([ 'First' , 'Second' , 'Third' , 'Fourth' ])
print (sr)
|
Output :
Now we will use Series.asobject
attribute to convert the series into an array of object type.
Output :
As we can see in the output, the Series.asobject
attribute has successfully returned an array of objects.
Example #2 : Use Series.asobject
attribute to return object series containing boxed value for the given Series object.
import pandas as pd
sr = pd.Series([ 'Sam' , 21 , 'Alisa' , 18 , 'Sophia' , 19 , 'Max' , 17 ])
print (sr)
|
Output :
Now we will use Series.asobject
attribute to convert the series into an array of object type.
Output :
As we can see in the output, the Series.asobject
attribute has successfully returned an array of objects.
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