为 Pandas 数据透视表 table 添加总计和小计
Add grand total and subtotal for Pandas pivot table
df=pd.DataFrame({'Region':['Oceanian','Europe','Asia','America','Europe','America','Asia','Oceanian','America'],'Country':["AU","GB","KR","US","GB","US","KR","AU","US"],'Region Manager':['TL','JS','HN','AL','JS','AL','HN','TL','AL'],'Campaign Stage':['Start','Develop','Develop','Launch','Launch','Start','Start','Launch','Develop'],'Product':['abc','bcd','efg','lkj','fsd','opi','vcx','gtp','qwe'],'Curr_Sales': [453,562,236,636,893,542,125,561,371],'Curr_Revenue':[4530,7668,5975,3568,2349,6776,3046,1111,4852],'Prior_Sales': [235,789,132,220,569,521,131,777,898],'Prior_Revenue':[1530,2668,3975,5668,6349,7776,8046,2111,9852]})
table=pd.pivot_table(df, values=['Curr_Sales', 'Curr_Revenue', 'Prior_Sales', 'Prior_Revenue'], index=['Region','Country', 'Region Manager','Campaign Stage','Product'],aggfunc='sum')
如何向每个“区域”添加小计并在底部添加总计?
如有任何想法,我们将不胜感激!谢谢。
与您之前的问题非常相似的解决方案,但是您可以为缺失的级别插入空白字符串(受@piRSquared here 启发):
out = pd.concat([d.append(d.sum().rename((k, '', '', '', 'Subtotal'))) for k, d in table.groupby('Region')]).append(table.sum().rename(('Grand', '', '', '', 'Total')))
out.index = pd.MultiIndex.from_tuples(out.index)
产量:
Curr_Revenue ... Prior_Sales
America US AL Develop qwe 4852 ... 898
Launch lkj 3568 ... 220
Start opi 6776 ... 521
Subtotal 15196 ... 1639
Asia KR HN Develop efg 5975 ... 132
Start vcx 3046 ... 131
Subtotal 9021 ... 263
Europe GB JS Develop bcd 7668 ... 789
Launch fsd 2349 ... 569
Subtotal 10017 ... 1358
Oceanian AU TL Launch gtp 1111 ... 777
Start abc 4530 ... 235
Subtotal 5641 ... 1012
Grand Total 39875 ... 4272
df=pd.DataFrame({'Region':['Oceanian','Europe','Asia','America','Europe','America','Asia','Oceanian','America'],'Country':["AU","GB","KR","US","GB","US","KR","AU","US"],'Region Manager':['TL','JS','HN','AL','JS','AL','HN','TL','AL'],'Campaign Stage':['Start','Develop','Develop','Launch','Launch','Start','Start','Launch','Develop'],'Product':['abc','bcd','efg','lkj','fsd','opi','vcx','gtp','qwe'],'Curr_Sales': [453,562,236,636,893,542,125,561,371],'Curr_Revenue':[4530,7668,5975,3568,2349,6776,3046,1111,4852],'Prior_Sales': [235,789,132,220,569,521,131,777,898],'Prior_Revenue':[1530,2668,3975,5668,6349,7776,8046,2111,9852]})
table=pd.pivot_table(df, values=['Curr_Sales', 'Curr_Revenue', 'Prior_Sales', 'Prior_Revenue'], index=['Region','Country', 'Region Manager','Campaign Stage','Product'],aggfunc='sum')
如何向每个“区域”添加小计并在底部添加总计?
如有任何想法,我们将不胜感激!谢谢。
与您之前的问题非常相似的解决方案,但是您可以为缺失的级别插入空白字符串(受@piRSquared here 启发):
out = pd.concat([d.append(d.sum().rename((k, '', '', '', 'Subtotal'))) for k, d in table.groupby('Region')]).append(table.sum().rename(('Grand', '', '', '', 'Total')))
out.index = pd.MultiIndex.from_tuples(out.index)
产量:
Curr_Revenue ... Prior_Sales
America US AL Develop qwe 4852 ... 898
Launch lkj 3568 ... 220
Start opi 6776 ... 521
Subtotal 15196 ... 1639
Asia KR HN Develop efg 5975 ... 132
Start vcx 3046 ... 131
Subtotal 9021 ... 263
Europe GB JS Develop bcd 7668 ... 789
Launch fsd 2349 ... 569
Subtotal 10017 ... 1358
Oceanian AU TL Launch gtp 1111 ... 777
Start abc 4530 ... 235
Subtotal 5641 ... 1012
Grand Total 39875 ... 4272