python - 如何在Python脚本中编写查询

Question

数据:

{
  "Fruit": "Pomegranate",
  "District": "Nasik",
  "Taluka": "Nasik",
  "Revenue circle": "Nasik",
  "Sum Insured": 28000,
  "Area": 1200,
  "Farmer": 183
}

{
  "Fruit": "Pomegranate",
  "District": "Jalna",
  "Taluka": "Jalna",
  "Revenue circle": "Jalna",
  "Sum Insured": 28000,
  "Area": 120,
  "Farmer": 13
}

{
  "Fruit": "Guava",
  "District": "Pune",
  "Taluka": "Haveli",
  "Revenue circle": "Uralikanchan",
  "Sum Insured": 50000,
  "Area": 10,
  "Farmer": 100
}

{
  "Fruit": "Guava",
  "District": "Nasik",
  "Taluka": "Girnare",
  "Revenue circle": "Girnare",
  "Sum Insured": 50000,
  "Area": 75,
  "Farmer": 90
}

{
  "Fruit": "Banana",
  "District": "Nanded",
  "Taluka": "Nandurbar",
  "Revenue circle": "NandedBK",
  "Sum Insured": 5000,
  "Area": 2260,
  "Farmer": 342
}

{
  "Fruit": "Banana",
  "District": "Jalgaon",
  "Taluka": "Bhadgaon",
  "Revenue circle": "Bhadgaon",
  "Sum Insured": 5000,
  "Area": 220,
  "Farmer": 265
}

我想在一个 python 脚本中为该数据中的所有类型的组合编写查询，这可以为我提供我们想要的准确输出。

例如:
假设我们只需要 Jalgaon 区的 Fruit=Banana 的输出，这样就可以得到准确的输出。

假设我们想要该地区农民数量超过 100 的输出，那么就给出了准确的输出。

假设我们只需要 District=Pune 的输出，那么该查询会给出准确的输出。同样。

有什么提示吗？如何编写查询来解决这个问题？

我尝试过的代码:

import pymongo 
connection = pymongo.MongoClient("mongodb://localhost") 
db=connection.book 
record1 = db.book_collection 
cursor = record1.find({"Fruit":"Banana"},{"Fruit":True, "_id":False, "Farmer":True}) 
for doc in cursor: 
    print doc # but there I need one python file for one query

Answer 1

使用给定的代码查找所需的输出。您可以为 different-2 查询创建各种函数。

import pymongo

class DbQuery(object):
    def __init__(self, ):
        self.mongo_client = pymongo.MongoClient("localhost", 27017)

    def findQuery(self):
        mongo_db = self.mongo_client["book"]

        cursor = mongo_db["book_collection"].find({"Fruit":"Guava"},{"Fruit":1})

        for document in cursor:
            # print document['District']
            print document['Fruit']


if __name__ == '__main__':
    obj = DbQuery()
    obj.findQuery()

您可以从此文档中获得更多帮助:

1. https://docs.mongodb.com/manual/crud/