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。