Python MongoDB Spatial Query

yxixi

　　//引入Pymongo
　　>>> from pymongo import MongoClient,GEO2D
　　//　　链接数据库gis
　　>>> db = MongoClient().gis
　　//创建索引
　　>>> db.places.create_index([("loc",GEO2D)])
　　'loc_2d'
　　//插入数据
　　>>> db.places.insert({"loc":[120,30]})
　　ObjectId('520e3893421aa91ddc7a8239')
　　>>> db.places.insert({"loc":[80,39]})
　　ObjectId('520e38b6421aa91ddc7a823a')
　　>>> db.places.insert({"loc":[112.25,56]})
　　ObjectId('520e38de421aa91ddc7a823b')
　　>>> db.places.insert({"loc":[125.23,56]})
　　ObjectId('520e3909421aa91ddc7a823c')
　　//附近查询  limit 查询前三个
　　>>>for doc in db.places.find({"loc":{"$near":[115.20,35]}}).limit(3):  
　　doc
　　{'loc': [120, 30], '_id': ObjectId('520e3893421aa91ddc7a8239')} {'loc': [112.25, 56], '_id': ObjectId('520e38de421aa91ddc7a823b')} {'loc': [125.23, 56], '_id': ObjectId('520e3909421aa91ddc7a823c')}
　　//拉框查询
　　>>> for doc in db.places.find({"loc":{"$within":{"$box":[[75.23,20.32],[152.23,60]]}}}):
　　doc
　　{'loc': [120, 30], '_id': ObjectId('520e3893421aa91ddc7a8239')} {'loc': [125.23, 56], '_id': ObjectId('520e3909421aa91ddc7a823c')} {'loc': [80, 39], '_id': ObjectId('520e38b6421aa91ddc7a823a')} {'loc': [112.25, 56], '_id': ObjectId('520e38de421aa91ddc7a823b')}
　　//点缓冲区查询
　　>>> for doc in db.places.find({"loc":{"$within":{"$center":[[120.2,30.3],10]}}}):
　　doc
　　{'loc': [120, 30], '_id': ObjectId('520e3893421aa91ddc7a8239')}
　　//------参考文档
　　http://api.mongodb.org/python/current/examples/geo.html
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