Python访问MongoDB,并且转换成Dataframe的方法

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/7/13 11:10
# @Author : baoshan
# @Site : 
# @File : pandans_pymongo.py
# @Software: PyCharm Community Edition

import pymongo
import pandas as pd


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 = pymongo.MongoClient(mongo_uri)
 else:
  conn = pymongo.MongoClient(host, port)

 return conn[db]


def read_mongo(db, collection, query={}, host='test43', 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).limit(10)

 # Expand the cursor and construct the DataFrame
 df = pd.DataFrame(list(cursor))
 df.to_csv("abc.csv", encoding="utf_8_sig") # 处理中文乱码问题

 if no_id:
  del df['_id']

 return df


read_mongo(db='service', collection='trace_log_regular', query={}, host='xxx', port=27017, username="xxx", password="xxx")