如何使熊猫数据透视表看起来像Excel数据透视表

时间:2019-10-28 01:47:57

标签: python excel pandas

pivot table in excel

df=pd.DataFrame({'Fruit':['Apple', 'Orange', 'Apple', 'Apple', 'Orange', 'Orange'],
            'Variety':['Fuji', 'Navel', 'Honeycrisp', 'Gala', 'Tangerine', 'Clementine'],
            'Count':[2, 5, 5, 1, 8, 4]})
df_pvt=pd.pivot_table(df, index=['Fruit', 'Variety'], values=['Count'], aggfunc=np.sum)
df_final=pd.concat([
d.append(d.sum().rename((k, 'SubTotal')))
for k, d in df_pvt.groupby(level=0)
]).append(df_pvt.sum().rename(('','GrandTotal'))) 

subtotal

df_final.to_excel('pvt.xlsx')

产生exported to excel

1)如何获得在熊猫中生成的数据透视表,使其看起来像Excel一样? 2)如何获得像excel这样的每一行的小计?

谢谢。

1 个答案:

答案 0 :(得分:0)

IIUC,

df_grand = df[['Count']].sum().T.to_frame(name='Count').assign(Fruit='Grand Total', Variety='').set_index(['Fruit','Variety'])

df_sub = df.groupby('Fruit')[['Count']].sum().assign(Variety='').set_index('Variety', append=True)

df_excel = df.set_index(['Fruit','Variety']).append(df_sub).sort_index().append(df_grand)

输出:

                        Count
Fruit       Variety          
Apple                       8
            Fuji            2
            Gala            1
            Honeycrisp      5
Orange                     17
            Clementine      4
            Navel           5
            Tangerine       8
Grand Total                25