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Thread: to group successive datasets using pandas in python


hello. have huge gps datasets of form (id,timestamp,longitude,latitude). this
id timestamp longitude latitude
3 2001-02-02 13:02:01 132.3245 56.2345
3 2001-02-02 13:02:06 132.3245 56.2345
3 ......... same above same above
.... .... ....
3 2001-02-02 13:05:01 132.3245 56.2345
3 2001-02-02 13:05:06 132.3246 56.2345
above example of how data present. have around 990000 records roughly. want this
id timestamp longitude latitude
3 2001-02-02 13:02:01 - 2001-02-02 13:05:01 132.3245 56.2345
3 2001-02-02 13:05:06 132.3246 56.2345
want merge rows of same latitude , longitude values single row. beginner in pandas , cannot use "group by" function group groups occurances want successive occurances grouped.

surely appreciated.
thank much..

thread moved programming talk, @ request of op.


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