I have a data as under in a pandas dataframe [Original shape of the data : 149347 rows and 2 columns]. Purpose includes a text/strings and employeeID includes floats.
Purpose : Text,Text,Text, ,Text,Text, , ,Text | Employee : 1,2,3,4,5,6,7,8,9
I want to create a subset of the data, having only blanks "purpose" and also include relevant employee ID's against such blanks as shown under.
Code used to achieve the above
null_Values = sample['Purpose'].isnull()
# Employee IDs against null values
null_Values['Employee ID'].value_counts()
I understand the error in the above code, however unable to achieve the purpose mentioned.


"")? OrNaNs?