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Original dataset

Example:

def get_group_first_row(df, grouping_columns): "" "Group rows using the grouping columns and return the first row belonging to each group (you can look at first() for reference). We'll write this function to be more general in case we want to use it for a different resample. return a dataframe without a hierarchical index (use default index) See the example link below if you want a better sense of what this should return TIME SEGMENT_ID SPEED STREET DIRECTION FROM_STREET TO_STREET HOUR DAY_OF_WEEK MONTH 12/31/2018 11:50:23 PM 83 -1 Pulaski SB Lake Washington 23 2 12 1 12/31/2018 11:50:23 PM 84 20 Pulaski SB Chicago Lake 23 2 12 2 12/31/2018 11:50:19 PM 78 27 Pulaski SB Cermak 26th 23 2 12 3 12/31/2018 11:50:19 PM 79 27 Pulaski SB 16th Cermak 23 2 12 4 12/31/2018 11:50:19 PM 80 27 Pulaski SB Roosevelt 16th 23 2 12 5 12/31/2018 11:50:19 PM 81 26 Pulaski SB Van Buren Roosevelt 23 2 12 6 12/31/2018 11:50:19 PM 82 -1 Pulaski SB Washington Van Buren 23 2 12 7 12/31/2018 11:50:19 PM 85 29 Pulaski SB Division Chicago 23 2 12 8 12/31/2018 11:50:19 PM 86 26 Pulaski SB Grand Division 23 2 12 9 12/31/2018 11:50:19 PM 87 27 Pulaski SB North Ave Grand 23 2 12 MONTH DAY_OF_WEEK HOUR SEGMENT_ID TIME SPEED STREET DIRECTION FROM_STREET TO_STREET BUS_COUNT MESSAGE 0 2 4 17 19 02/28/2018 05:40:00 PM -1 Pulaski NB 111th 107th 0 71916 8 4 3 19 08/29/2018 03:50:22 AM 20 Pulaski NB 111th 107th 1 69030 8 2 14 19 08/27/2018 02:50:25 PM 38 Pulaski NB 111th 107th 2 68952 8 2 13 19 08/27/2018 01:50:21 PM 31 Pulaski NB 111th 107th 2 49218 6 6 0 19 06/29/2018 12:50:20 AM -1 Pulaski NB 111th 107th 0 def get_group_first_row(df, grouping_columns): "" "Group rows using the grouping columns and return the first row belonging to each group (you can look at first() for reference). We'll write this function to be more general in case we want to use it for a different resample. return a dataframe without a hierarchical index (use default index) See the example link below if you want a better sense of what this should return TIME SEGMENT_ID SPEED STREET DIRECTION FROM_STREET TO_STREET HOUR DAY_OF_WEEK MONTH 12/31/2018 11:50:23 PM 83 -1 Pulaski SB Lake Washington 23 2 12 1 12/31/2018 11:50:23 PM 84 20 Pulaski SB Chicago Lake 23 2 12 2 12/31/2018 11:50:19 PM 78 27 Pulaski SB Cermak 26th 23 2 12 3 12/31/2018 11:50:19 PM 79 27 Pulaski SB 16th Cermak 23 2 12 4 12/31/2018 11:50:19 PM 80 27 Pulaski SB Roosevelt 16th 23 2 12 5 12/31/2018 11:50:19 PM 81 26 Pulaski SB Van Buren Roosevelt 23 2 12 6 12/31/2018 11:50:19 PM 82 -1 Pulaski SB Washington Van Buren 23 2 12 7 12/31/2018 11:50:19 PM 85 29 Pulaski SB Division Chicago 23 2 12 8 12/31/2018 11:50:19 PM 86 26 Pulaski SB Grand Division 23 2 12 9 12/31/2018 11:50:19 PM 87 27 Pulaski SB North Ave Grand 23 2 12 MONTH DAY_OF_WEEK HOUR SEGMENT_ID TIME SPEED STREET DIRECTION FROM_STREET TO_STREET BUS_COUNT MESSAGE 0 2 4 17 19 02/28/2018 05:40:00 PM -1 Pulaski NB 111th 107th 0 71916 8 4 3 19 08/29/2018 03:50:22 AM 20 Pulaski NB 111th 107th 1 69030 8 2 14 19 08/27/2018 02:50:25 PM 38 Pulaski NB 111th 107th 2 68952 8 2 13 19 08/27/2018 01:50:21 PM 31 Pulaski NB 111th 107th 2 49218 6 6 0 19 06/29/2018 12:50:20 AM -1 Pulaski NB 111th 107th 0