python-pandas读取mongodb、读取csv文件

续上一篇博客（‘’selenium爬取NBA并将数据存储到MongoDB‘）https://www.cnblogs.com/lutt/p/10810581.html

本篇的内容是将存储到mongo的数据用pandas读取出来，存到CSV文件，而后pandas读取CSV文件。

其中mongo的操做涉及到受权的问题：

若是遇到报错关于authenticate的，须要加受权，用时须要将各参数换成本身的

#导入相应的包
import pymongo
import pandas as pd
from pandas import Series,DataFrame
#链接数据库
client = pymongo.MongoClient('localhost',27017)
db = client['python']
# 受权
db.authenticate(name='lu',password='123456',source='admin')
info = db['NBA']
#加载数据
data = DataFrame(list(info.find()))
print(data)
# 写入CSV文件
data.to_csv('NBA.csv')

import csv
import pandas as pd
from matplotlib import pyplot as plt
filename = 'NBA.csv'
with open(filename,encoding='UTF-8') as f:
    data = pd.read_csv(f)
    # team = data['team队伍']
    p3 = data['p3三分球命中次数']
    p3a = data['p3a三分球投射次数']
    p2 = data['p2二分球命中次数']
    p2a = data['p2a三分球投射次数']