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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 all arenas

 To generate a response containing a representation of all arenas, a query is made using the SQLAlchemy ORM. To convert the query results into GeoJSON, a list comprehension is used to generate a list of dictionaries that describe each arena returned from the ORM query. The resulting list (data) is then added to a dictionary, which is converted from a Python dictionary to a JSON object using the jsonify function:

@app.route('/nba/api/v0.1/arena', methods=['GET'])def get_arenas():  arenas = session.query(Arena).all()  data = [{"type": "Feature", "properties":{"name":arena.name, "id":arena.id},   "geometry":{"type":"Point", "coordinates":[round(arena.longitude,6),               round(arena.latitude,6)]},  } for arena in arenas] return jsonify({"type": ...
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Publisher Resources

ISBN: 9781788293334Supplemental Content