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Mastering Geospatial Analysis with Python
book

Mastering Geospatial Analysis with Python

by Silas Toms, Paul Crickard, Eric van Rees
April 2018
Beginner to intermediate content levelBeginner to intermediate
440 pages
11h 36m
English
Packt Publishing
Content preview from Mastering Geospatial Analysis with Python

Getting a state by name

Using a filter will allow for a URL variable to be used as a query filter. The string variable will be checked against the state name field in the database table, and uses a like operator to do a fuzzy comparison (that is, it will get all states that start with 'M' if the state_name variable is 'M':

@app.route('/nba/api/v0.1/state/<state_name>', methods=['GET'])def get_state_name(state_name):  states = session.query(State).filter(State.name.like(state_name+"%")).all()  geoms = {state.id:smapping(to_shape(state.geom)) for state in states}  data = [{"type": "Feature", "properties":{"state":state.name},   "geometry":{"type":"MultiPolygon",  "coordinates":[shapely.geometry.geo.mapping(to_shape(state.geom)["coordinates"]]}, ...
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Publisher Resources

ISBN: 9781788293334Supplemental Content