compute columns based on multiple conditions

Question

I was reading a blog for conditaion based new computations where new col \'category\' is inserted.

data = {\'name\': [\'Jason\', \'Molly\', \'Tina\', \'Jake\', \         


        

Answer 1

You can using pd.cut (BTW , 40 is not old man :-()

pd.cut(df.age,bins=[0,20,39,np.inf],labels=['kid','young','old'])
Out[179]: 
0      old
1      old
2    young
3    young
4      old
Name: age, dtype: category
Categories (3, object): [kid < young < old]