迭代问题，内减法不能正常工作

如何解决迭代问题，内减法不能正常工作

df2={'atanAN_ORGANIZASYON':['000053','00012','00014'],'stock':[10,23,99]
      }
df2= pd.DataFrame(data=df2)

'''
talep={'FHY Sicil':['FB00662','FB003208'],'Şube Kodu':['00014','adet':[50,50]
      }
talep= pd.DataFrame(data=talep)
'''
import warnings
warnings.filterwarnings('ignore')
lst=[]
for i in range(len(talep)):
    for j in range(len(df2)):
        if talep.iloc[i]['Şube Kodu']==df2.iloc[j]['atanAN_ORGANIZASYON']:
            if  df2.iloc[j]['stock']>=talep.iloc[i]['adet']:
                lst.append([talep.iloc[i]['FHY Sicil'],talep.iloc[i]['Şube Kodu'],talep.iloc[i]['adet']])
                df2.iloc[j]['stock']=df2.iloc[j]['stock']-talep.iloc[i]['adet']
                break
            elif df2.iloc[j]['stock']<talep.iloc[i]['adet'] and  df2.iloc[j]['stock']>0:  
                lst.append([talep.iloc[i]['FHY Sicil'],df2.iloc[j]['stock']])
                #print(df2.iloc[j]['stock'])
                df2=df2[~(df2['atanAN_ORGANIZASYON']==df2.iloc[j]['atanAN_ORGANIZASYON'])]
                break
                #df2.iloc[j]['stock']=0
                #df2.iloc[j]['stock']=df2.iloc[j]['stock']-talep.iloc[i]['adet']
                #print(df2['stock'])
final = pd.DataFrame(lst,columns=['FHY Sicil','Şube Kodu','adet'])

final.sort_values(by=['Şube Kodu']).head(3)

1. 00014 的库存为 99，但 FB006620 和 FB003208 总共交付了 100 个。每个人得到 50。
2. df2.iloc[j]['stock']=df2.iloc[j]['stock']-talep.iloc[i]['adet'] >> 我需要在第一次迭代后显示剩余金额。即，由于将 50 分配给 FB006620，因此应将剩余的 49 分配给 FB003208。

解决方法

df2={'ATANAN_ORGANIZASYON':['000053','00012','00014'],'stock':[10,23,99]
      }
df2= pd.DataFrame(data=df2)

talep={'FHY Sicil':['FB00662','FB003208'],'Sube Kodu':['00014','adet':[50,50]
}
talep= pd.DataFrame(data=talep)

lst=[]

for i,tt in talep['Sube Kodu'].items():
    for j,dd in df2['ATANAN_ORGANIZASYON'].items():
        if dd == tt:
            if df2['stock'][j]>=talep['adet'][i]:
                lst.append([talep['FHY Sicil'][i],tt,talep['adet'][i]])
                df2['stock'][j]-=talep['adet'][i]
            elif df2['stock'][j]<talep['adet'][i] and  df2['stock'][j]>0:  
                lst.append([talep['FHY Sicil'][i],df2['stock'][j]])
                df2=df2[~(df2['ATANAN_ORGANIZASYON']==df2.iloc['ATANAN_ORGANIZASYON'][j])]
        break
final = pd.DataFrame(lst,columns=['FHY Sicil','Sube Kodu','adet'])

final.sort_values(by=['Sube Kodu']).head(3)

print(final)