python - assign a column in a data frame based on another column -


i have following dataframe example

 univ  date        ms  kv       11/01/2007  1  0.2       11/02/2007  0  0.3       11/03/2007  1  0.4       11/05/2007  1  0.1   b     11/01/2007  0  0.11   b     11/03/2007  1  0.12   b     11/04/2007  1  0.13

for each univ group, calculate average of kv, next available date after ms = 1. in above case a, ms = 1 on 11/01 , 11/03 , 11/05 output should be

 univ kv     0.2 ( average of 0.3 , 0.1)

i make "next available date" flexible "the second next or third next available date"

thanks much!

iiuc:

in [244]: n=1  in [245]: df.groupby('univ') \             .apply(lambda x: x.loc[x.ms.shift(n)==1, 'kv'].mean()) \             .reset_index(name='kv') out[245]:   univ    kv 0     0.20 1    b  0.13 
in [246]: n=2  in [247]: df.groupby('univ') \             .apply(lambda x: x.loc[x.ms.shift(n)==1, 'kv'].mean()) \             .reset_index(name='kv') out[247]:   univ   kv 0     0.4 1    b  nan

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