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 Editionimport pymongoimport pandas as pddef _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 dfread_mongo(db='service', collection='trace_log_regular', query={}, host='xxx', port=27017, username="xxx", password="xxx")