geoql 0.0.5.0

Library for performing queries and transformations on GeoJSON data (with emphasis on support for abstract graph representations).

# geoql

Library for performing queries and transformations on GeoJSON data (with emphasis on support for abstract graph representations).

Package Installation and Usage

The package is available on PyPI:

python -m pip install geoql

The library can be imported in the usual way:

import geoql

An example of usage is provided below:

import geojson import geoql import geoleaflet import requests

url = ‘https://raw.githubusercontent.com/Data-Mechanics/geoql/master/examples/’

# Boston ZIP Codes regions. z = geojson.loads(requests.get(url + ‘example_zips.geojson’).text, encoding=”latin-1”)

# Extract of street data. g = geojson.loads(requests.get(url + ‘example_extract.geojson’).text, encoding=”latin-1”)

g = geoql.features_properties_null_remove(g) g = geoql.features_tags_parse_str_to_dict(g) g = geoql.features_keep_by_property(g, {“highway”: {“$in”: [“residential”, “secondary”, “tertiary”]}}) g = geoql.features_keep_within_radius(g, (42.3551, -71.0656), 0.75, ‘miles’) # Within 0.75 of Boston Common. g = geoql.features_keep_intersecting_features(g, z) # Only those entries found in a Boston ZIP Code regions. g = geoql.features_node_edge_graph(g) # Converted into a graph with nodes and edges. open(‘example_extract.geojson’, ‘w’).write(geojson.dumps(g)) open(‘leaflet.html’, ‘w’).write(geoleaflet.html(g)) # Create visualization.