팬더에서 pivot_table을 사용하여 원하는 출력 (아래 주어진) 또는 다음 데이터 집합과 비슷한 것을 얻을 수 있습니까? 내가 좋아하는 일을하려고 오전 :각 열마다 팬다 피봇 테이블 부분합
pivot_table(df, rows=['region'], cols=['area','distributor','salesrep'],
aggfunc=np.sum, margins=True).stack(['area','distributor','salesrep'])
를하지만 그때 난 단지 면적 당 합계를 얻을 것이다 행 COLS에서 영역을 이동하는 경우 난 단지, 지역 당 합계를 얻고있다.
데이터 집합 :
region area distributor salesrep sales invoice_count Central Butterworth HIN MARKETING TLS 500 25 Central Butterworth HIN MARKETING TLS 500 25 Central Butterworth HIN MARKETING OSE 500 25 Central Butterworth HIN MARKETING OSE 500 25 Central Butterworth KWANG HENGG TCS 500 25 Central Butterworth KWANG HENGG TCS 500 25 Central Butterworth KWANG HENG LBH 500 25 Central Butterworth KWANG HENG LBH 500 25 Central Ipoh SGH EDERAN CHAN 500 25 Central Ipoh SGH EDERAN CHAN 500 25 Central Ipoh SGH EDERAN KAMACHI 500 25 Central Ipoh SGH EDERAN KAMACHI 500 25 Central Ipoh CORE SYN LILIAN 500 25 Central Ipoh CORE SYN LILIAN 500 25 Central Ipoh CORE SYN TEOH 500 25 Central Ipoh CORE SYN TEOH 500 25 East JB LEI WAH NF05 500 25 East JB LEI WAH NF05 500 25 East JB LEI WAH NF06 500 25 East JB LEI WAH NF06 500 25 East JB WONDER F&B SEREN 500 25 East JB WONDER F&B SEREN 500 25 East JB WONDER F&B MONC 500 25 East JB WONDER F&B MONC 500 25 East PJ PENGEDAR NORM 500 25 East PJ PENGEDAR NORM 500 25 East PJ PENGEDAR SIMON 500 25 East PJ PENGEDAR SIMON 500 25 East PJ HEBAT OGI 500 25 East PJ HEBAT OGI 500 25 East PJ HEBAT MIGI 500 25 East PJ HEBAT MIGI 500 25
원하는 출력 :
region area distributor salesrep invoice_count sales Grand Total 800 16000 Central Central Total 400 8000 Central Butterworth Butterworth Total 200 4000 Central Butterworth HIN MARKETING HIN MARKETING Total 100 2000 Central Butterworth HIN MARKETING OSE 50 1000 Central Butterworth HIN MARKETING TLS 50 1000 Central Butterworth KWANG HENG KWANG HENG Total 100 2000 Central Butterworth KWANG HENG LBH 50 1000 Central Butterworth KWANG HENG TCS 50 1000 Central Ipoh Ipoh Total 200 4000 Central Ipoh CORE SYN CORE SYN Total 100 2000 Central Ipoh CORE SYN LILIAN 50 1000 Central Ipoh CORE SYN TEOH 50 1000 Central Ipoh SGH EDERAN SGH EDERAN Total 100 2000 Central Ipoh SGH EDERAN CHAN 50 1000 Central Ipoh SGH EDERAN KAMACHI 50 1000 East East Total 400 8000 East JB JB Total 200 4000 East JB LEI WAH LEI WAH Total 100 2000 East JB LEI WAH NF05 50 1000 East JB LEI WAH NF06 50 1000 East JB WONDER F&B WONDER F&B Total 100 2000 East JB WONDER F&B MONC 50 1000 East JB WONDER F&B SEREN 50 1000 East PJ PJ Total 200 4000 East PJ HEBAT HEBAT Total 100 2000 East PJ HEBAT MIGI 50 1000 East PJ HEBAT OGI 50 1000 East PJ PENGEDAR PENDEGAR Total 100 2000 East PJ PENGEDAR NORM 50 1000 East PJ PENGEDAR SIMON 50 1000
감사합니다. 각 계층을 반복하고 pivot_table을 적용하여 원하는 결과를 얻으십시오. – ogi