如何通過python更准確地聚合數據幀中的值？

Question

這是我用代碼制作的結果

il = wb[["region","incomeLevel"]]
count_il = il.groupby("incomeLevel")
count_il.count()

看起來不錯，但是如何使結果更准確地顯示每個區域的詳細信息呢？

例如，原始名稱是收入級別，列名稱包括以下內容：

結果顯示每個區域的價值。 例如。，

           East Asia & pacific      South Asia

High income       7                      6

有任何想法嗎？

Answer 1

我找到了自己解決問題的另一種方法：

il.groupby(['region', 'incomeLevel'])['region'].count()

結果如下：

region                      incomeLevel        
East Asia & Pacific         High income            14
                            Low income              1
                            Lower middle income    13
                            Upper middle income    10
Europe & Central Asia       High income            37
                            Low income              1
                            Lower middle income     6
                            Upper middle income    14
Latin America & Caribbean   High income            18
                            Low income              1
                            Lower middle income     4
                            Upper middle income    19
Middle East & North Africa  High income             8
                            Low income              2
                            Lower middle income     5
                            Upper middle income     6
North America               High income             3
South Asia                  Low income              2
                            Lower middle income     5
                            Upper middle income     1
Sub-Saharan Africa          High income             1
                            Low income             27
                            Lower middle income    14
                            Upper middle income     6
Name: region, dtype: int64