First Df contains dates and attendance with names

date            1        2     3   .....50
2021-10-01    jhohn     bob    jerry.....
2021-10-02    Ram       jhohn  bob    jerry
Second df contains
date        name  activity_info(multiple columns)
2021-10-01  john  fgfhfgh
2021-10-01  Ram   dfsdfsdf

I want to filter out data for the elements not present in first Data frame on that particular date. for instance Ram is not in 2021-10-01. that has to be removed. the number of columns may vary

CodePudding user response：

You can melt first data and inner join with second data:

df1.melt('date', value_name='name').merge(df2, on=['date','name'])

Output:

         date variable   name activity_info
0  2021-10-01        1  jhohn       fgfhfgh