Python 导出读取MongoDB数据到Pandas分析

1、Python中操作MongoDB

Python使用MongoDB数据库，需要用到pymongo库

1）安装pymongo库

pip install pymongo

2）安装完后查看

pip list

3）模块引用

import pymongo

4）通过Pymongo与MongoDB建立连接

import pymongofrom pymongo import MongoClientclient = MongoClient('localhost',27017)

2、导出读取MongoDB数据到Pandas的代码

import pandas as pdfrom pymongo import MongoClientdef _connect_mongo(host, port, username, password, db):    """ 指定帐户和密码建立连接 """    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):    """ 从Mongo读取并存储到DataFrame """    #连接MongoDB    db = _connect_mongo(host=host, port=port, username=username, password=password, db=db)    #对特定的数据库和集合进行查询    cursor = db[collection].find(query)    #读取数据并构造DataFrame    df =  pd.DataFrame(list(cursor))    #删除MongoDB中主键_id    if no_id:        del df['_id']    return df