geojson-faker is a fake GeoJson data generator.
| GeoJSON object | Status |
|---|---|
| Position | done |
| Point | done |
| MultiPoint | done |
| LineString | done |
| MultiLineString | done |
| Polygon | done |
| MultiPolygon | done |
| GeometryCollection | done |
| Feature | in progress |
| FeatureCollection | in progress |
$ pip install geojson-fakerOr use your python package manager.
To generate fake geodata, you can use both methods and a special class GeoJsonFaker.
Example of generation a random Point using the fake_point method:
>>> from geojson_faker import fake_point, Dimension
>>> # Point2D or Point3D
>>> fake_point()
Point(bbox=None, type='Point', coordinates=Position2D(longitude=-97.30689091127957, latitude=56.891859157037686))
>>> fake_point()
Point(bbox=None, type='Point', coordinates=Position3D(longitude=-23.91579574348077, latitude=-29.49843686198053, altitude=38061.79569985675))
>>> # Point2D
>>> fake_point(dimension=Dimension.two)
Point(bbox=None, type='Point', coordinates=Position2D(longitude=-165.04984397840835, latitude=76.97108937919282))
>>> # Point3D
>>> fake_point(dimension=Dimension.three)
Point(bbox=None, type='Point', coordinates=Position3D(longitude=-118.39348949345089, latitude=27.81106033708747, altitude=8475.464707933897))Example of generation using the class:
>>> from geojson_faker import GeoJsonFaker
>>> geojson_faker = GeoJsonFaker()
>>> # Point2D or Point3D
>>> geojson_faker.point
Point(bbox=None, type='Point', coordinates=Position2D(longitude=-50.56703965217093, latitude=19.72513434718111))
>>> geojson_faker.point
Point(bbox=None, type='Point', coordinates=Position3D(longitude=111.84911865610678, latitude=-19.488979926988165, altitude=7921.968274391678))
>>> # Point2D
>>> geojson_faker.point2d
Point(bbox=None, type='Point', coordinates=Position2D(longitude=29.98434638920918, latitude=36.476444735501616))
>>> # Point3D
>>> geojson_faker.point3d
Point(bbox=None, type='Point', coordinates=Position3D(longitude=-76.36126084558762, latitude=30.682266859380533, altitude=15816.987234147065))The class has some advantages, so I would recommend using it preferably.
The random_always setting allows you to specify whether to generate random data permanently or to remember the last result and reuse it.
An example with Point:
>>> from geojson_faker import GeoJsonFaker
>>> # random_always is True by default
>>> geojson_faker = GeoJsonFaker()
>>> geojson_faker.point
Point(bbox=None, type='Point', coordinates=Position2D(longitude=136.68932246536838, latitude=-69.51345731343906))
>>> geojson_faker.point
Point(bbox=None, type='Point', coordinates=Position3D(longitude=-86.5130499597834, latitude=-32.985220372899015, altitude=39772.673364264505))
>>>
>>> # Set random_always to False
>>> geojson_faker = GeoJsonFaker(random_always=False)
>>> geojson_faker.point
Point(bbox=None, type='Point', coordinates=Position3D(longitude=-124.54510003846121, latitude=25.225529991773328, altitude=-423.45973067919476))
>>> geojson_faker.point
Point(bbox=None, type='Point', coordinates=Position3D(longitude=-124.54510003846121, latitude=25.225529991773328, altitude=-423.45973067919476))In addition to randomly generated data, you can get realistic data.
Example of getting a random country of Feature type:
>>> from geojson_faker import GeoJsonFaker
>>> geojson_faker = GeoJsonFaker()
>>> geojson_faker.country
Feature(bbox=None, type='Feature', geometry=Polygon(bbox=None, type='Polygon', coordinates=[[Position2D(longitude=60.5176034, latitude=34.0617567), ...]]), properties={'name': 'افغانستان', 'name:en': 'Afghanistan', 'official_name': 'د افغانستان اسلامي جمهوريت', 'official_name:en': 'Islamic Republic of Afghanistan'}, id=None)See license.md.
If you like this open source project, I'd really appreciate it if you put a star. Thank you!
