geopyspark.vector_pipe.features_collection module¶

class geopyspark.vector_pipe.features_collection.FeaturesCollection(scala_features)¶

Represents a collection of features from OSM data. A feature is a geometry that is derived from an OSM Element with that Element’s associated metadata. These features are grouped together by their geometry type.

There are 4 different types of geometries that a feature can contain:

Points
Lines
Polygons
MultiPolygons

Parameters:	scala_features (py4j.JavaObject) – The Scala representation of `FeaturesCollection`.

scala_features¶: py4j.JavaObject – The Scala representation of FeaturesCollection.

get_line_features_rdd()¶

Returns each Line feature in the FeaturesCollection as a Feature in a Python RDD.

Returns:	`RDD[Feature]`

get_line_tags()¶

Returns all of the unique tags for all of the Lines in the FeaturesCollection as a dict. Both the keys and values of the dict will be strs.

Returns:	dict

get_multipolygon_features_rdd()¶

Returns each MultiPolygon feature in the FeaturesCollection as a Feature in a Python RDD.

Returns:	`RDD[Feature]`

get_multipolygon_tags()¶

Returns all of the unique tags for all of the MultiPolygons in the FeaturesCollection as a dict. Both the keys and values of the dict will be strs.

Returns:	dict

get_point_features_rdd()¶

Returns each Point feature in the FeaturesCollection as a Feature in a Python RDD.

Returns:	`RDD[Feature]`

get_point_tags()¶

Returns all of the unique tags for all of the Points in the FeaturesCollection as a dict. Both the keys and values of the dict will be strs.

Returns:	dict

get_polygon_features_rdd()¶

Returns each Polygon feature in the FeaturesCollection as a Feature in a Python RDD.

Returns:	`RDD[Feature]`

get_polygon_tags()¶

Returns all of the unique tags for all of the Polygons in the FeaturesCollection as a dict. Both the keys and values of the dict will be strs.

Returns:	dict