1### replace one value ###
2df["column"].replace("US","UK") # you can also use numerical values
3### replace more than one value ###
4df["column"].replace(["man","woman","child"],[1,2,3]) # you can also use numerical values
5# man ==> 1
6# woman ==> 2
7# child ==> 3