Question

我想分析Mongo中托管的数据库。因此，我想将mongo URI连接到熊猫，以便可以在Jupyter Lab环境中自由运行所有python查询。

今天这是我的mongo连接：

“ mongoURI”：“ mongodb + srv：// test：test12345@cluster0-ze0tw.mongodb.net/databasetest？retryWrites = true＆w = majority”

我已经阅读了其他答案，他们共享了这段代码，据说可以帮助我解决此连接。如果填写正确，我不太满意。你们能以上面显示的连接为例向我介绍一下。

import pandas as pd
from pymongo import MongoClient


def _connect_mongo(host, port, username, password, db):
   """ A util for making a connection to mongo """

   if username and password:
       mongo_uri = 'mongodb://%s:%s@%s:%s/%s' % (username, password, host, port, db)
       conn = MongoClient(mongo_uri)
   else:
       conn = MongoClient(host, port)


   return conn[db]


def read_mongo(db, collection, query={}, host='localhost', port=27017, 
username=None, password=None, no_id=True):
   """ Read from Mongo and Store into DataFrame """

   # Connect to MongoDB
   db = _connect_mongo(host=host, port=port, username=username, password=password, 
   db=db)

   # Make a query to the specific DB and Collection
   cursor = db[collection].find(query)

   # Expand the cursor and construct the DataFrame
   df =  pd.DataFrame(list(cursor))

   # Delete the _id
   if no_id:
       del df['_id']

   return df

Answer 1

似乎正在连接到MongoDB Atlas实例。首先检查您的Python客户端计算机的IP是否在Atlas IP Whitelist（安全性->网络访问-> IP白名单）中。

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