Exemple #1
0
 def test_sparse_trajectory(self):
     df = DataFrame([
         {
             "id": 1,
             "geometry": Point(0, 0),
             "t": datetime(2018, 1, 1, 12, 0, 0)
         },
         {
             "id": 1,
             "geometry": Point(6, 0),
             "t": datetime(2018, 1, 1, 12, 6, 0)
         },
         {
             "id": 1,
             "geometry": Point(6, 6),
             "t": datetime(2018, 1, 1, 14, 9, 0)
         },
     ]).set_index("t")
     geo_df = GeoDataFrame(df, crs=CRS_METRIC)
     traj = Trajectory(geo_df, "id")
     extractor = _PtsExtractor(traj,
                               5,
                               0,
                               min_stop_duration=timedelta(hours=12))
     actual = extractor.find_significant_points()
     expected = [Point(0, 0), Point(6, 0), Point(6, 6)]
     assert len(actual) == len(expected)
     for pt in expected:
         assert pt in actual
 def test_sparse_trajectory(self):
     df = pd.DataFrame([{
         'id': 1,
         'geometry': Point(0, 0),
         't': datetime(2018, 1, 1, 12, 0, 0)
     }, {
         'id': 1,
         'geometry': Point(6, 0),
         't': datetime(2018, 1, 1, 12, 6, 0)
     }, {
         'id': 1,
         'geometry': Point(6, 6),
         't': datetime(2018, 1, 1, 14, 10, 0)
     }]).set_index('t')
     geo_df = GeoDataFrame(df, crs=CRS_METRIC)
     traj = Trajectory(geo_df, 'id')
     extractor = _PtsExtractor(traj,
                               5,
                               0,
                               min_stop_duration=timedelta(hours=12))
     actual = extractor.find_significant_points()
     expected = [Point(0, 0), Point(6, 0), Point(6, 6)]
     assert len(actual) == len(expected)
     for pt in expected:
         assert pt in actual
Exemple #3
0
 def test_stops_found(self):
     df = DataFrame([
         {
             "id": 1,
             "geometry": Point(0, 0),
             "t": datetime(2018, 1, 1, 10, 0, 0)
         },
         {
             "id": 1,
             "geometry": Point(1, 0),
             "t": datetime(2018, 1, 1, 10, 1, 0)
         },
         {
             "id": 1,
             "geometry": Point(2, 0),
             "t": datetime(2018, 1, 1, 10, 2, 0)
         },
         {
             "id": 1,
             "geometry": Point(3, 0),
             "t": datetime(2018, 1, 1, 12, 3, 0)
         },
         {
             "id": 1,
             "geometry": Point(4, 0),
             "t": datetime(2018, 1, 1, 12, 4, 0)
         },
         {
             "id": 1,
             "geometry": Point(5, 0),
             "t": datetime(2018, 1, 1, 12, 5, 0)
         },
         {
             "id": 1,
             "geometry": Point(6, 0),
             "t": datetime(2018, 1, 1, 14, 6, 0)
         },
         {
             "id": 1,
             "geometry": Point(7, 0),
             "t": datetime(2018, 1, 1, 14, 7, 0)
         },
     ]).set_index("t")
     geo_df = GeoDataFrame(df, crs=CRS_METRIC)
     traj = Trajectory(geo_df, "id")
     extractor = _PtsExtractor(traj,
                               10,
                               2,
                               min_stop_duration=timedelta(hours=1))
     actual = extractor.find_significant_points()
     for pt in actual:
         print(pt)
     expected = [Point(0, 0), Point(2, 0), Point(5, 0), Point(7, 0)]
     assert len(actual) == len(expected)
     for pt in expected:
         assert pt in actual