• pandas之系列操作(一)


    1.读Excel:

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

    2.写Excel:

    1 # coding=utf-8
    2 import pandas as pd
    3 import pymysql
    4 sql_select =" xxx "
    5 con = pymysql.connect(host="xxx", user="xx", passwd="xxx", db="xxx", charset='utf8',port=5366)
    6 df = pd.read_sql(sql_select,con)
    7 con.close()
    8 with pd.ExcelWriter(r'D:2.xls') as writer:
    9     df.to_excel(writer,sheet_name ='3',encoding = 'utf-8', index = False,header=False)

     3.写入 Mysql:

     1 # coding=utf-8
     2 from sqlalchemy import create_engine
     3 import pandas as pd
     4 import sys
     5 reload(sys)
     6 sys.setdefaultencoding('utf8')
     7 host = 'xx'
     8 port = 5366
     9 db = 'xxx'
    10 user = 'xx'
    11 password = 'xxx'
    12 
    13 engine = create_engine(str(r"mysql+mysqldb://%s:" + '%s' + "@%s:%s/%s?charset=utf8") % (user, password, host, port,db))
    14 print(engine)
    15 try:
    16     df = pd.read_excel(r'D:2.xls')
    17 
    18     print(df)
    19 
    20     pd.io.sql.to_sql(df,'app_errortest',con=engine,if_exists='append',index=False,chunksize=10000)
    21 except Exception as e:
    22     print(e.message)

     4.根据周统计数据

     1 # coding=utf-8
     2 import pandas as pd
     3 import pymysql
     4 import numpy as np
     5 from pandas import Series,DataFrame
     6 from datetime import datetime
     7 sql_select =" select id, DataChange_LastTime from`app01_student` "
     8 con = pymysql.connect(host="127.0.0.1", user="root", passwd="123456789", db="test", charset='utf8',port=3306)
     9 df = pd.read_sql(sql_select,con)
    10 con.close()
    11 df['DataChange_LastTime'] =pd.to_datetime(df['DataChange_LastTime']) #转化为DatetimeIndex格式
    12 df =df.set_index('DataChange_LastTime')#设置索引
    13 
    14 
    15 # print(type(df))
    16 # print(df.index)
    17 # print(type(df.index))
    18 # print(df.shape) #查看几行几列
    19 rs=df.resample('w').count()
    20 n = rs.to_dict('split')['index']
    21 v = rs.to_dict(orient="list")['id']
    22 name =[]
    23 value=[]
    24 for i in n:
    25     i=i.to_pydatetime()
    26     i =datetime.strftime(i,'%Y-%m-%d')
    27     name.append(i)
    28 for i in v:
    29     i =int(i)
    30     value.append(i)
    31 
    32 print(name)
    33 print(value)
    View Code

     5.pandas 将Excel转换字典

    1 #! /usr/bin/env python
    2 # coding=utf-8
    3 import pandas as  pd
    4 df =pd.read_excel(r'D:pandas.xls') #字典形式
    5 res = df.to_dict(orient="records") #大字典嵌套小字典
    6 res = df.to_dict()
    7 print res
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  • 原文地址:https://www.cnblogs.com/yspass/p/8093265.html
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