python - How do I create the counts of the column values, grouped by values in the other column in Pandas? -


i have dataframe df has values: 

id    status 1       2       b 5       1       3       b 4       b 5       b

i need group column id column status. issue id can have duplicates, can have same or different codes.

the code have is:

df_new = df.groupby('id').status.nunique()

however, getting ids grouped, without showing status column , values. need create dataset looks this: 

status  count        3   b      4

you need groupby , count:

df.groupby('status')['status'].count()

output:

status    3 b    4 name: status, dtype: int64

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