excel - Python VLOOKUP based on dates - Pandas -


having issue pandas df, trying "count" column based on date, code should search "date range' within dates column, , if present 'count' should copied "posts" column corresponding date eg: date_range value = 16/02/2017 - code searches 16/02/2017 in "dates" column , makes "posts" equal "count" value of date - if date_range value not appear - posts should = 0.

data example:

dates     count date_range  posts 0   07/02/2017  1   16/12/2016  (should = 5)    1   01/03/2017  1   17/12/2016   2   15/02/2017  1   18/12/2016   3   23/01/2017  1   19/12/2016   4   28/02/2017  1   20/12/2016   5   09/02/2017  2   21/12/2016   6   20/03/2017  2   22/12/2016   7   16/12/2016  5

my code looks this:

    datelist = df['dates'].tolist()      date in df['date_range']:         if str(date) in datelist:             df['posts'] = df['count']         else:             dates_df['posts'] = 0

however makes data map wrong values "posts"

hopefully explained correctly! in advance help!

you can first create dict matching values , map date_range column:

print (df)         dates  count  date_range 0  07/02/2017      1  16/12/2016 1  01/03/2017      1  17/12/2016 2  15/02/2017      1  18/12/2016 3  23/01/2017      1  19/12/2016 4  28/02/2017      1  07/02/2017 <-change value match 5  09/02/2017      2  21/12/2016 6  20/03/2017      2  22/12/2016 7  16/12/2016      5  22/12/2016  d = df[df['dates'].isin(df.date_range)].set_index('dates')['count'].to_dict() print (d) {'16/12/2016': 5, '07/02/2017': 1}  df['posts'] = df['date_range'].map(d).fillna(0).astype(int) print (df)         dates  count  date_range  posts 0  07/02/2017      1  16/12/2016      5 1  01/03/2017      1  17/12/2016      0 2  15/02/2017      1  18/12/2016      0 3  23/01/2017      1  19/12/2016      0 4  28/02/2017      1  07/02/2017      1 5  09/02/2017      2  21/12/2016      0 6  20/03/2017      2  22/12/2016      0 7  16/12/2016      5  22/12/2016      0

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