假设您的第二个表格如下所示:
首先,让我们按日期分组,我们对子表进行排序和索引。 (这是最难的一步。)
一旦我们有了每个组的索引,就将那一列展开回来,这样我们就回到了起点,除了新的索引列。
从这里,您可以过滤索引以仅获取前 N 个,然后取消旋转 [items] 和 [units] 列。
合并[索引]和[属性]
然后以 [Merged] 为中心
哒哒!现在您的数据已成型,以便您可以轻松地将其与第一个表合并。
这是此示例的完整代码。 (您可以将其粘贴到高级编辑器中并查看应用步骤。)
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMtQ31DcyMDJU0lEqSM0rBlKGpkqxOugSyZk5YDkDqJwRTC61KLE4tQgkZ2yKLgc1EMM8hB5sWqBWGSnFxgIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [date = _t, items = _t, units = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"date", type date}, {"items", type text}, {"units", Int64.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"date"}, {{"indexed", each Table.AddIndexColumn(Table.Buffer(Table.Sort(_, {{"units", Order.Descending}})), "Index", 1, 1, Int64.Type), type table}}),
#"Expanded indexed" = Table.ExpandTableColumn(#"Grouped Rows", "indexed", {"items", "units", "Index"}, {"items", "units", "Index"}),
#"Filtered Rows" = Table.SelectRows(#"Expanded indexed", each [Index] < 3),
#"Unpivoted Columns1" = Table.UnpivotOtherColumns(#"Filtered Rows", {"date", "Index"}, "Attribute", "Value"),
#"Merged Columns" = Table.CombineColumns(Table.TransformColumnTypes(#"Unpivoted Columns1", {{"Index", type text}}, "en-US"),{"Attribute", "Index"},Combiner.CombineTextByDelimiter("_", QuoteStyle.None),"Merged"),
#"Pivoted Column1" = Table.Pivot(#"Merged Columns", List.Distinct(#"Merged Columns"[Merged]), "Merged", "Value"),
#"Changed Type1" = Table.TransformColumnTypes(#"Pivoted Column1",{{"items_1", type text}, {"units_1", Int64.Type}, {"items_2", type text}, {"units_2", Int64.Type}})
in
#"Changed Type1"
我做特殊 M 语言魔术的唯一地方(不仅仅是单击 GUI 中的东西)是这一步,我通过对其中一个子表应用几个步骤并将 GUI 生成的代码粘贴回去来创建逐步进入组(加上 Table.Buffer 包装器以确保排序“坚持”)。
#"Grouped Rows" =
Table.Group(
#"Changed Type",
{"date"},
{
{"indexed", each
Table.AddIndexColumn(
Table.Buffer(
Table.Sort(_, {{"units", Order.Descending}})
),
"Index", 1, 1, Int64.Type
), type table
}
}
),