python - Pandas backward fill increment by 12 months -


i have dataframe course names each year. need find duration in months starting year 2016.

from io import stringio  import pandas pd  u_cols = ['page_id','web_id'] audit_trail = stringio(''' year_id | web_id 2012|efg 2013|abc  2014| xyz 2015| pqr 2016| mnp ''')  df11 = pd.read_csv(audit_trail, sep="|", names = u_cols  )

how add months in new column starting highest (i.e. bottom bfill?)

the final data-frame this...

u_cols = ['page_id','web_id' , 'months'] audit_trail = stringio(''' year_id | web_id | months 2012|efg | 60 2013|abc | 48 2014| xyz | 36 2015| pqr | 24 2016| mnp | 12 ''')  df12 = pd.read_csv(audit_trail, sep="|", names = u_cols  )

some of answers not consider there can multiple courses. updating sample data...

from io import stringio  import pandas pd  u_cols = ['course_name','page_id','web_id'] audit_trail = stringio(''' course_name| year_id | web_id a|2012|efg a|2013|abc  a|2014| xyz a|2015| pqr a|2016| mnp b|2014| xyz b|2015| pqr b|2016| mnp  ''')  df11 = pd.read_csv(audit_trail, sep="|", names = u_cols  ) 

>>> df11.assign(months=df11.groupby('course_name').year_id.transform(         lambda years: range(len(years) * 12, 0, -12)))   course_name  year_id web_id  months 0               2012    efg      60 1               2013   abc       48 2               2014    xyz      36 3               2015    pqr      24 4               2016    mnp      12 5           b     2014    xyz      36 6           b     2015    pqr      24 7           b     2016    mnp      12

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