pandas之系列操作（一）

1.读Excel：

 # coding=utf-8
 import pandas as pd
 import pymysql
 sql_select =" xxxxx "
 con = pymysql.connect(host="xxxx", user="xxx", passwd="xxxx", db="xxxx", charset='utf8',port=5366)
 df1 = pd.read_excel(r'D:\1.xls',header=None,sep=',')
 con.close()

2.写Excel：

 # coding=utf-8
 import pandas as pd
 import pymysql
 sql_select =" xxx "
 con = pymysql.connect(host="xxx", user="xx", passwd="xxx", db="xxx", charset='utf8',port=5366)
 df = pd.read_sql(sql_select,con)
 con.close()
 with pd.ExcelWriter(r'D:\2.xls') as writer:
     df.to_excel(writer,sheet_name ='',encoding = 'utf-8', index = False,header=False)

3.写入 Mysql：

 # coding=utf-8
 from sqlalchemy import create_engine
 import pandas as pd
 import sys
 reload(sys)
 sys.setdefaultencoding('utf8')
 host = 'xx'
 port = 5366
 db = 'xxx'
 user = 'xx'
 password = 'xxx'

 engine = create_engine(str(r"mysql+mysqldb://%s:" + '%s' + "@%s:%s/%s?charset=utf8") % (user, password, host, port,db))
 print(engine)
 try:
     df = pd.read_excel(r'D:\2.xls')

     print(df)

     pd.io.sql.to_sql(df,'app_errortest',con=engine,if_exists='append',index=False,chunksize=10000)
 except Exception as e:
     print(e.message)

4.根据周统计数据

 # coding=utf-8
 import pandas as pd
 import pymysql
 import numpy as np
 from pandas import Series,DataFrame
 from datetime import datetime
 sql_select =" select id, DataChange_LastTime from`app01_student` "
 con = pymysql.connect(host="127.0.0.1", user="root", passwd="", db="test", charset='utf8',port=3306)
 df = pd.read_sql(sql_select,con)
 con.close()
 df['DataChange_LastTime'] =pd.to_datetime(df['DataChange_LastTime']) #转化为DatetimeIndex格式
 df =df.set_index('DataChange_LastTime')#设置索引

 # print(type(df))
 # print(df.index)
 # print(type(df.index))
 # print(df.shape) #查看几行几列
 rs=df.resample('w').count()
 n = rs.to_dict('split')['index']
 v = rs.to_dict(orient="list")['id']
 name =[]
 value=[]
 for i in n:
     i=i.to_pydatetime()
     i =datetime.strftime(i,'%Y-%m-%d')
     name.append(i)
 for i in v:
     i =int(i)
     value.append(i)

 print(name)
 print(value)

5.pandas 将Excel转换字典

 #! /usr/bin/env python
 # coding=utf-8
 import pandas as  pd
 df =pd.read_excel(r'D:\pandas.xls') #字典形式
 res = df.to_dict(orient="records") #大字典嵌套小字典
 res = df.to_dict()
 print res