How to use the movingpandas.trajectory_aggregator._Grid function in movingpandas
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anitagraser / movingpandas / movingpandas / trajectory_aggregator.py View on Github 
def _cluster_significant_points(self):
points = self.significant_points
bbox = self.get_significant_points_gdf().total_bounds
cell_size = self.max_distance / 10
if self.is_latlon:
cell_size = cell_size / R_EARTH * 360
grid = _Grid(bbox, cell_size)
grid.insert_points(points)
grid.redistribute_points(points)
return grid.resulting_clustersmovingpandas
MovingPandas provides trajectory data structures and functions for handling movement data based on Pandas, GeoPandas, and more. Visit movingpandas.org for details.
Package Health Score
84 / 100Popular movingpandas functions
- movingpandas.geometry_utils.angular_difference
- movingpandas.geometry_utils.azimuth
- movingpandas.geometry_utils.calculate_initial_compass_bearing
- movingpandas.geometry_utils.measure_distance_euclidean
- movingpandas.geometry_utils.measure_distance_spherical
- movingpandas.geometry_utils.R_EARTH
- movingpandas.overlay.clip
- movingpandas.overlay.create_entry_and_exit_points
- movingpandas.overlay.intersection
- movingpandas.overlay.intersects
- movingpandas.overlay.SpatioTemporalRange
- movingpandas.overlay.TemporalRange
- movingpandas.trajectory.DIRECTION_COL_NAME
- movingpandas.trajectory.Trajectory
- movingpandas.trajectory_aggregator._Grid
- movingpandas.trajectory_aggregator._PtsExtractor
- movingpandas.trajectory_aggregator._SequenceGenerator
- movingpandas.trajectory_generalizer.TrajectoryGeneralizer
- movingpandas.trajectory_plotter._TrajectoryCollectionPlotter
- movingpandas.trajectory_plotter._TrajectoryPlotter