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脚本中为这些数据中的所有类型的组合编写查询，这为我提供了我们想要的精确输出。

例如：
假设我们只想在Jalgaon区只为fruit = Banana输出，所以这给了我确切的输出。

假设我们想要输出农民的地区数量超过100，那么就可以得到准确的产出。

假设我们只想输出area = Pune，那么该查询会给出精确的输出。像。

任何提示？如何编写查询来解决此问题？

我试过的代码：

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

使用给定代码查找所需的输出。您可以为不同的2查询创建各种功能。

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：

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

如何在python脚本

1 个答案: