将 DAX 列转换为 power query（添加列）

Question

我有这个专栏，用于 scoring/ranking 销售的各种水果。它工作得很好，我正在进入一个更大的数据集，我想看看我是否可以将它直接移动到 power 查询中...

如何在'add column' in power 查询中编写代码？ - 有可能吗？

普通列计算：

COLUMN NAME = 
VAR NCT = TEST[Fruit]
VAR filteredTable = FILTER ( TEST, NOT ( ISBLANK ( TEST[Sold amount] ) ) && TEST[Fruit] = NCT)

RETURN
IF(ISBLANK(TEST[Sold amount]),BLANK(),
DIVIDE (
RANKX (
filteredTable,
TEST[Sold amount],
,
ASC
) - 1,
COUNTROWS ( filteredTable ) - 1
))*100

测试数据在这里： https://www.dropbox.com/s/trrdggjz4c1x3ff/Test_scoringrank_in_powerquery.pbix?dl=0

Answer 1

我想我终于明白你在做什么了。

您不能通过添加自定义列来实现，但还有另一种方法。 Power Query 缺少 RANKX 函数，因此您必须编写自定义函数。

而不是每行的 FILTER，在 PQ 中你会做一个 GroupBy，然后在每个子组上执行自定义 RANK 函数。

您编写的 DAX RANKX 函数是一种 skipRank 类型的关系函数。还考虑到没有对 Sales Amount 为空白的条目进行排名。

对于自定义排名函数

每个 sub-group 升序
为每个金额分配一个序号（除非PQ中金额为空=null）
然后按金额对每个子组进行分组，并从中提取最低排名以获得并列排名。
展开表格。

其他步骤是内务处理。

希望我已经对代码进行了充分的注释，以便您能够理解。

自定义函数

添加为空白查询
重命名fnScoringRank

(tbl as table, colToRank as text)=>
    
let 
    #"Sort by colRank" = Table.Sort(tbl,{colToRank,Order.Ascending}),
    colRank = List.Buffer(Table.Column(#"Sort by colRank", colToRank)),
    
    #"Add Rank Col" = 
        Table.FromColumns(
            Table.ToColumns(#"Sort by colRank") &     
                {List.Accumulate(colRank,{}, (state,current)=>
                        if current=null then state & {null} 
                            else if List.Max(state) = null then state & {0} 
                            else state & {List.Max(state)+1})},
            Table.ColumnNames(#"Sort by colRank") & {"Rank"}),

    #"Group by colToRank" = Table.Group(#"Add Rank Col",{colToRank},{
        {"all",each _, type table},
        {"Scoring Rank", each List.Min([Rank])/(Table.RowCount(tbl)-1)*100, type number}
    }),

    //remove unneeded column and expand table
    #"Remove Column" = Table.RemoveColumns(#"Group by colToRank",colToRank),
    eXpand = Table.ExpandTableColumn(#"Remove Column","all", 
        List.RemoveMatchingItems(Table.ColumnNames(#"Sort by colRank"),{"Rank"})),
    types = List.Zip({Table.ColumnNames(eXpand),{type text, type text, type text, Int64.Type, Int64.Type, type number}}),
    typeIt = Table.TransformColumnTypes(eXpand, types)
in  
   typeIt

主查询

let

//Next two lines are from your code
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("XZBBD4IwDIX/y85cDDC8olET0EiyI+HQ6CILUEgRE/31bovG1cvW9Xvre1tdi3yaei0icTKd2/JlvpMBW8WiiWpxJsCbA+WIBFemSLmi8s0fzlLpBZUGsseuB+KClcffAKoFxBFttbcTL66VcINibBnm83cPYHfjECoz8NGxzJh7YQa7HjQNgE9brTP59zpYeqZIk9Bg25KZOZdMcDQvhpNP+m+AjdaEQO6H1QQGvYRHUMsMGHCZhgYlkAlpEluD5g0=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Fruit = _t, #"Account ID" = _t, Country = _t, #"Sold amount" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Fruit", type text}, {"Account ID", type text}, {"Country", type text}, {"Sold amount", Int64.Type}}),

//Add index column to remember original order
    #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Orig Order", 0, 1, Int64.Type),

//Group by fruit
//   Then run custom rank function on each sub-group
    #"Grouped Rows" = Table.Group(#"Added Index", {"Fruit"}, {
        {"Count", each fnScoringRank(_, "Sold amount")}}),

//Remove unneeded column and expand the table resulting from custom function
    #"Removed Columns" = Table.RemoveColumns(#"Grouped Rows",{"Fruit"}),
    #"Expanded Count" = Table.ExpandTableColumn(#"Removed Columns", "Count", 
        {"Fruit", "Account ID", "Country", "Sold amount", "Orig Order", "Scoring Rank"}),

//Sort back to original order
//  Remove the sorting column
//  Set the data types
    #"Sorted Rows" = Table.Sort(#"Expanded Count",{{"Orig Order", Order.Ascending}}),
    #"Removed Columns1" = Table.RemoveColumns(#"Sorted Rows",{"Orig Order"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Removed Columns1",{{"Fruit", type text}, {"Account ID", type text}, {"Country", type text}, {"Sold amount", Int64.Type}, {"Scoring Rank", type number}})
in
    #"Changed Type1"

来自您的数据的结果

将 DAX 列转换为 power query（添加列）

Convert DAX column into power query (add column)

powerbi

dax

powerquery

powerbi-desktop