Pandas13——excel透视表

excel透视表

要求：

1、表格有ID、Total、Date、Product、Subcategor、Category数据
2、以Category和Date的年份分组统计Total的总和，个数。

import pandas as pd
from datetime import date
import numpy as np

# 输出能美观一些
pd.set_option('display.max_columns', 10000, 'display.max_rows', 10000,'display.width', 1000)


Orders=pd.read_excel("D:\\python_pandas\\sample\\demo14\\Orders.xlsx", dtype={'Date': date})
Orders["year"]=pd.DatetimeIndex(Orders.Date).year
#方法一：
tb = Orders.pivot_table(values=["Total","ID"],index="Category",columns="year",aggfunc={"Total":np.sum,"ID":len})

print(tb)

               ID                              Total                                          
year         2011   2012   2013   2014          2011          2012          2013          2014
Category                                                                                      
Accessories   360   1339  20684  18811  2.082077e+04  1.024398e+05  6.750247e+05  4.737876e+05
Bikes        3826  10776  16485   8944  1.194565e+07  2.898552e+07  3.626683e+07  1.745318e+07
Clothing      655   4045  10266   6428  3.603148e+04  5.555877e+05  1.067690e+06  4.612336e+05
Components    875   5529   9138   3156  6.391730e+05  3.880758e+06  5.612935e+06  1.669727e+06

pivot_table图解说明

#方法二：
g = Orders.groupby(["Category","year"])
s = g["Total"].sum()
c = g["ID"].count()
tb2 = pd.DataFrame({"sum":s,"count":c})

print(tb2)

打印结果：
                           sum  count
Category    year                     
Accessories 2011  2.082077e+04    360
            2012  1.024398e+05   1339
            2013  6.750247e+05  20684
            2014  4.737876e+05  18811
Bikes       2011  1.194565e+07   3826
            2012  2.898552e+07  10776
            2013  3.626683e+07  16485
            2014  1.745318e+07   8944
Clothing    2011  3.603148e+04    655
            2012  5.555877e+05   4045
            2013  1.067690e+06  10266
            2014  4.612336e+05   6428
Components  2011  6.391730e+05    875
            2012  3.880758e+06   5529
            2013  5.612935e+06   9138
            2014  1.669727e+06   3156