get list of pandas dataframe columns based on data type

Question

If I have a dataframe with the following columns:

1. NAME                                     object
2. On_Time                                      object
         


        

Answer 1

If you want a list of only the object columns you could do:

non_numerics = [x for x in df.columns \
                if not (df[x].dtype == np.float64 \
                        or df[x].dtype == np.int64)]

and then if you want to get another list of only the numerics:

numerics = [x for x in df.columns if x not in non_numerics]