I've got data frame with IDs, dates per ID and times per date. Also, a binary variable (Y) that gets 1 or 0, and another nominal variable (X). I want to merge rows by ID and date, and take the maximum Y value per (ID, date), and take the common X value per (ID, date), but regardless of 0 values level.
Note: ID, Date and Time are indices, and they are sorted.
Data illustration:
ID  Date        Time    Y       X
1   08/27/2019  18:00   0       123
                19:00   0       123
                20:00   1       456
2   08/27/2019  18:00   0       0
                19:00   0       0
                20:00   1       456
3   08/27/2019  18:00   1       123
                19:00   0       0
                20:00   1       456
3   08/28/2019  18:00   0       0
                19:00   0       0
                20:00   0       0
Expected result:
ID  Date        Y       X
1   08/27/2019  1       123
2   08/27/2019  1       456
3   08/27/2019  1       123
3   08/28/2019  0       0
Note: for the first observation of ID #3 (on the 08/27/2019), 123 was taken because it's earlier (in terms of time).
