python-pandas讀取mongodb、讀取csv文件

續上一篇博客（‘’selenium爬取NBA並將數據存儲到MongoDB‘）https://www.cnblogs.com/lutt/p/10810581.html

本篇的內容是將存儲到mongo的數據用pandas讀取出來，存到CSV文件，而後pandas讀取CSV文件。

其中mongo的操做涉及到受權的問題：

若是遇到報錯關於authenticate的，須要加受權，用時須要將各參數換成本身的

#導入相應的包
import pymongo
import pandas as pd
from pandas import Series,DataFrame
#鏈接數據庫
client = pymongo.MongoClient('localhost',27017)
db = client['python']
# 受權
db.authenticate(name='lu',password='123456',source='admin')
info = db['NBA']
#加載數據
data = DataFrame(list(info.find()))
print(data)
# 寫入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隊伍']
    p3 = data['p3三分球命中次數']
    p3a = data['p3a三分球投射次數']
    p2 = data['p2二分球命中次數']
    p2a = data['p2a三分球投射次數']