Python数据分析之读取文件读取CSV读取Excel读取MySQL读取MongoDB

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发布于 2018-07-03 14:35:03

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发布于 2018-07-03 14:35:03

文章被收录于专栏：有趣的Python和你有趣的Python和你

Python的数据分析，大部分的教程都是想讲numpy，再讲Dataframe，再讲读取文件。但我看书的时候，前面二章看的实在头晕，所以，我们还是通过读取文件来开始我们的Python数据分析吧。

读取CSV

读取csv通过read_csv读取

import pandas as pd
zhuanti = pd.read_csv(open('C:/Users/luopan/Desktop/xiaozhu.csv',encoding='utf-8'))
zhuanti

设置第一列为索引

import pandas as pd
zhuanti1 = pd.read_csv(open('C:/Users/luopan/Desktop/xiaozhu.csv',encoding='utf-8'),index_col=0)
zhuanti1

设置header，这里把header去掉

import pandas as pd
zhuanti2 = pd.read_csv(open('C:/Users/luopan/Desktop/xiaozhu.csv',encoding='utf-8'),index_col=0,header=None)
zhuanti2

跳过前2行

import pandas as pd
zhuanti3 = pd.read_csv(open('C:/Users/luopan/Desktop/xiaozhu.csv',encoding='utf-8'),skiprows=[1,2],index_col=0)
zhuanti3

读取Excel

利用read_excel读取excel文件

import pandas as pd
test = pd.read_excel('C:/Users/luopan/Desktop/test.xlsx',sheetname='Sheet2',header=None)
test

读取MySQL

import pandas as pd
import pymysql
conn = pymysql.connect(host='localhost', user='root', passwd='123456', db='test', port=3306, charset='utf8')
jianshu = pd.read_sql('select * from jianshu1',conn)
jianshu

读取MongoDB

import pandas as pd
import pymongo
client = pymongo.MongoClient('localhost',port = 27017)
test = client['test']
tieba = test['tieba']
data = pd.DataFrame(list(tieba.find()))
data