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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 district by name

In this case, the name of the district is the congressional district number. There is a name field, but it contains the name of the elected representative from that district:

@app.route('/nba/api/v0.1/district/<dist>', methods=['GET'])def get_district_name(dist):  districts = session.query(District).filter(District.district.like(dist+"%")).all()  data = [{"type": "Feature",   "properties":{"district":district.district,"id":district.id,   "representative":district.name},   "geometry":{"type":"MultiPolygon",   "coordinates":shapely.geometry.geo.mapping(to_shape(district.geom))["coordinates"]},  } for district in districts]  return jsonify({"type": "FeatureCollection","features":data})

All of these methods can be adjusted to ...

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Publisher Resources

ISBN: 9781788293334Supplemental Content