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如下所示:
#!/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")
小结:
1. 解决了pymongo访问mongodb的问题
2. 解决了查询的数据转成dataframe的问题
3. 解决了dataframe写入到csv的问题
4. 解决了中文乱码问题。
以上这篇python访问mongodb,并且转换成dataframe的方法就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持移动技术网。
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