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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 county by name

Again, we can use a URL variable to collect a string, and use the string supplied for a query filter. If Wash is used as the URL variable county_name, the query will find all counties with names that start with Wash:

@app.route('/nba/api/v0.1/county/<county_name>', methods=['GET'])def get_county_name(county_name):  counties = session.query(County).filter(County.name.like(county_name+"%")).all()  data = [{"type": "Feature",   "properties":{"name":county.name, "state":county.state.name},   "geometry":{"type":"MultiPolygon",   "coordinates":[shapely.geometry.geo.mapping(to_shape(county.geom))["coordinates"]]},  } for county in counties]  return jsonify({"type": "FeatureCollection","features":data})

The filter method can be ...

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Publisher Resources

ISBN: 9781788293334Supplemental Content