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.
# importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series(['First', 'Second', 'Third', 'Fourth']) # Print the series print(sr) |
Output :
Now we will use Series.asobject attribute to convert the series into an array of object type.
# to return the series as object sr.asobject |
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.
# importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series(['Sam', 21, 'Alisa', 18, 'Sophia', 19, 'Max', 17]) # Print the series print(sr) |
Output :
Now we will use Series.asobject attribute to convert the series into an array of object type.
# to return the series as object sr.asobject |
Output :
As we can see in the output, the Series.asobject attribute has successfully returned an array of objects.
