pandas - filling columns based on multiple row values in Python -


i have dataframe a empty cells want fill have dataframe b. here sample data:

a=     month   type    sale     2016-01       20     2016-02       10     2016-01 b       40     2016-02 b       30     2016-01 c        2016-02 c        2016-01 d        2016-02 d     b=     month   type    sale     2016-01       20     2016-02       10     2016-01 b       40     2016-02 b       30     2016-01 c       60     2016-02 c       40     2016-01 d       60     2016-02 d       40

here have done:

empttypes= ['c', 'd'] x = a.groupby('month', sort = false).sale.sum() b['sale'][b['type'].isin(empttypes) & b['month'].isin(x.index)]=x

and nothing happens!

i think can use fillna sum:

df['sale'] = df.groupby('month', sort = false).sale.apply(lambda x: x.fillna(x.sum())) print (df)      month type  sale 0  2016-01     20.0 1  2016-02     10.0 2  2016-01    b  40.0 3  2016-02    b  30.0 4  2016-01    c  60.0 5  2016-02    c  40.0 6  2016-01    d  60.0 7  2016-02    d  40.0

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