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