我就廢話(huà)不多說(shuō)了，大家還是直接看代碼吧！

# -*- encoding=utf-8 -*-import pandas as pddata=[’abc’,’abc’,’abc’,’asc’,’ase’,’ase’,’ase’]num=[1,2,2,1,2,1,2]df1=pd.DataFrame({’name’:data,’num’:num})print(df1)df1[’mmm’]=df1[’num’]df2=df1.groupby([’name’, ’num’], as_index=False).count()print(df2)df2.sort_values([’name’, ’num’], ascending=[1, 1], inplace=True)print(df2)df2[’sum’]=df2.groupby([’name’])[’mmm’].cumsum()print(df2)kk=df2.groupby([’name’],as_index=False)[’num’].sum()print(kk)df3 = pd.merge(df2, kk, on=’name’, how=’left’,)print(df3)df3[’ratio’]=df3[’sum’]/df3[’num_y’]df3.columns = [’name’, ’num’, ’mmm’, ’sum’,’numsum’,’ratio’]print(df3)df4=df3.groupby([’mmm’],as_index=False)[’ratio’].mean()print(df4)

運(yùn)行：

name num0 abc 11 abc 22 abc 23 asc 14 ase 25 ase 16 ase 2 name num mmm0 abc 1 11 abc 2 22 asc 1 13 ase 1 14 ase 2 2 name num mmm0 abc 1 11 abc 2 22 asc 1 13 ase 1 14 ase 2 2 name num mmm sum0 abc 1 1 11 abc 2 2 32 asc 1 1 13 ase 1 1 14 ase 2 2 3 name num0 abc 31 asc 12 ase 3 name num_x mmm sum num_y0 abc 1 1 1 31 abc 2 2 3 32 asc 1 1 1 13 ase 1 1 1 34 ase 2 2 3 3 name num mmm sum numsum ratio0 abc 1 1 1 3 0.3333331 abc 2 2 3 3 1.0000002 asc 1 1 1 1 1.0000003 ase 1 1 1 3 0.3333334 ase 2 2 3 3 1.000000 mmm ratio0 1 0.5555561 2 1.000000Process finished with exit code 0

補(bǔ)充知識(shí)：python項(xiàng)目篇-對(duì)符合條件的某個(gè)字段進(jìn)行求和,聚合函數(shù)annotate(),aggregate()函數(shù)

對(duì)符合條件的某個(gè)字段求和

需求是，計(jì)算每日的收入和

1、

new_dayincome = request.POST.get('dayincome_time', None) # total_income = models.bathAccount.objects.filter(dayBath=new_dayincome).aggregate(nums=Sum(’priceBath’)) total_income = models.bathAccount.objects.values(’priceBath’).annotate(nums=Sum(’priceBath’)).filter(dayBath=new_dayincome) print('total_income',total_income[0][’nums’])

輸出結(jié)果：total_income 132

2、

from django.db.models import Sum,Countnew_dayincome = request.POST.get('dayincome_time', None) total_income = models.bathAccount.objects.filter(dayBath=new_dayincome).aggregate(nums=Sum(’priceBath’)) print('total_income',total_income[’nums’])

輸出結(jié)果:total_income 572

第二種輸出的是正確的數(shù)字

以上這篇python 實(shí)現(xiàn)分組求和與分組累加求和代碼就是小編分享給大家的全部?jī)?nèi)容了，希望能給大家一個(gè)參考，也希望大家多多支持好吧啦網(wǎng)。