Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started

Reply
Docholliday666
Regular Visitor

Loop using the output from previous row as variable

Hi, I'm posting this question after researching and not finding similar question brought up.

I have report that shows the initial quantity, quantity in and quantity out and the week number, I would like to add a new column New_initial which equals to previous week initial + previous week IN - previous week OUT

I there a way to do that in power query M. Thanks in advance.

 

Docholliday666_1-1709164379257.png

 

Desired outcome

Docholliday666_2-1709164423957.png

 

 

 

2 ACCEPTED SOLUTIONS
ronrsnfld
Super User
Super User

There are several  ways to do this. Here's a method using the List.Generate function:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUTI0ABKmQGyuFKsTrWQEZBkghEFCxlAhkCJDI7CQCVTIAqIoFgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [WEEK = _t, INITIAL = _t, IN = _t, OUT = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"WEEK", Int64.Type}, 
        {"INITIAL", Int64.Type}, {"IN", Int64.Type}, {"OUT", Int64.Type}}),

    #"Add New Initial" = 
        Table.FromColumns(
            Table.ToColumns(#"Changed Type") &
                {List.Generate(
                    ()=>[a=#"Changed Type"[INITIAL]{0}, idx=0],
                    each [idx] < Table.RowCount(#"Changed Type"),
                    each [a = [a]+#"Changed Type"[IN]{[idx]} - #"Changed Type"[OUT]{[idx]}, idx=[idx]+1],
                    each [a])},
            type table[WEEK=Int64.Type,INITIAL=Int64.Type, IN=Int64.Type, OUT=Int64.Type, NEW_INITIAL=Int64.Type]),
    
    #"Reordered Columns" = Table.ReorderColumns(#"Add New Initial",{"WEEK", "INITIAL", "NEW_INITIAL", "IN", "OUT"})
in
    #"Reordered Columns"

Source

ronrsnfld_0-1709168794716.png

Results

ronrsnfld_1-1709168821527.png

 

 

 

View solution in original post

You would use the same method, just embed it as an aggregation in the Table.Group function:

let
    Source = Excel.CurrentWorkbook(){[Name="Table3"]}[Content],
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"WEEK", Int64.Type}, {"PRODUCT ID", Int64.Type}, {"INITIAL", Int64.Type}, {"IN", Int64.Type}, {"OUT", Int64.Type}}),
    
    #"Grouped Rows" = Table.Group(#"Changed Type", {"PRODUCT ID"}, {
        {"New Initial", (t)=>              
          Table.FromColumns(
            Table.ToColumns(t) &
                {List.Generate(
                    ()=>[a=t[INITIAL]{0}, idx=0],
                    each [idx] < Table.RowCount(t),
                    each [a = [a] + t[IN]{[idx]} - t[OUT]{[idx]}, idx=[idx]+1],
                    each [a])},
                    Table.ColumnNames(t) & {"NEW INITIAL"}),
            type table[WEEK=Int64.Type,PRODUCT ID=Int64.Type, INITIAL=Int64.Type, 
                            IN=Int64.Type, OUT=Int64.Type, NEW INITIAL=Int64.Type]}}),

    #"Expanded New Initial" = Table.ExpandTableColumn(#"Grouped Rows", "New Initial", {"WEEK", "INITIAL", "IN", "OUT", "NEW INITIAL"})
in
    #"Expanded New Initial"

ronrsnfld_0-1709234555789.png

 

 

 

View solution in original post

5 REPLIES 5
ronrsnfld
Super User
Super User

There are several  ways to do this. Here's a method using the List.Generate function:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUTI0ABKmQGyuFKsTrWQEZBkghEFCxlAhkCJDI7CQCVTIAqIoFgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [WEEK = _t, INITIAL = _t, IN = _t, OUT = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"WEEK", Int64.Type}, 
        {"INITIAL", Int64.Type}, {"IN", Int64.Type}, {"OUT", Int64.Type}}),

    #"Add New Initial" = 
        Table.FromColumns(
            Table.ToColumns(#"Changed Type") &
                {List.Generate(
                    ()=>[a=#"Changed Type"[INITIAL]{0}, idx=0],
                    each [idx] < Table.RowCount(#"Changed Type"),
                    each [a = [a]+#"Changed Type"[IN]{[idx]} - #"Changed Type"[OUT]{[idx]}, idx=[idx]+1],
                    each [a])},
            type table[WEEK=Int64.Type,INITIAL=Int64.Type, IN=Int64.Type, OUT=Int64.Type, NEW_INITIAL=Int64.Type]),
    
    #"Reordered Columns" = Table.ReorderColumns(#"Add New Initial",{"WEEK", "INITIAL", "NEW_INITIAL", "IN", "OUT"})
in
    #"Reordered Columns"

Source

ronrsnfld_0-1709168794716.png

Results

ronrsnfld_1-1709168821527.png

 

 

 

It worked, thank you so much ronrsnfld. Is it possible to do the calculation within every product id as shown below?

I forgot to include the product id variable on my initial request I appologize for that.

Docholliday666_0-1709226758372.png

 

Desired outcome

Docholliday666_1-1709226974706.png

 

Hi @Docholliday666,

 

Result:

dufoq3_1-1709323798877.png

 

 

v1 List.Generate

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Vc6xEcAgCAXQXX5tAYhJduHYf42oMXAUQPEOPmZgNDDRN2Ybs254M0gKpS7pVdYKyxat8sTKiZFI+EESIuUc65Wu+Ewr6E5yfwE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [WEEK = _t, #"PRODUCT ID" = _t, INITIAL = _t, IN = _t, OUT = _t]),
    ChangedType = Table.TransformColumnTypes(Source,{{"INITIAL", type number}, {"IN", type number}, {"OUT", type number}}),
    GroupedRows = Table.Group(ChangedType, {"PRODUCT ID"}, {{"All", each _, type table}}),
    Ad_NewInitial = Table.AddColumn(GroupedRows, "NEW INITIAL", each 
        [ t = Table.Buffer(Table.SelectColumns([All], {"INITIAL", "IN", "OUT"})),
          lg =
                List.Generate(
                    ()=> [ x = 0,
                           _initial =  t{x}[INITIAL],
                           _newInitial = _initial,
                           _in = t{x}[IN],
                           _out = t{x}[OUT] ],
                    each [x] < Table.RowCount(t),
                    each [ x = [x]+1, 
                           _in = t{x}[IN],
                           _out = t{x}[OUT],
                           _initial = t{x}[INITIAL],
                           _newInitial = [_newInitial] + [_in] - [_out] ],
                    each [_newInitial]
                )
        ][lg], type list),
    Result = Table.FromColumns(Table.ToColumns(Table.Combine(Ad_NewInitial[All])) & { List.Combine(Ad_NewInitial[NEW INITIAL]) }, Table.ColumnNames(GroupedRows{0}[All]) & {"NEW INITIAL"} )
in
    Result

 

 

v2 List.Accumulate

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Vc6xEcAgCAXQXX5tAYhJduHYf42oMXAUQPEOPmZgNDDRN2Ybs254M0gKpS7pVdYKyxat8sTKiZFI+EESIuUc65Wu+Ewr6E5yfwE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [WEEK = _t, #"PRODUCT ID" = _t, INITIAL = _t, IN = _t, OUT = _t]),
    ChangedType = Table.TransformColumnTypes(Source,{{"INITIAL", type number}, {"IN", type number}, {"OUT", type number}}),
    GroupedRows = Table.Group(ChangedType, {"PRODUCT ID"}, {{"All", each Table.AddIndexColumn(_, "IndexHelper", 0, 1, Int64.Type), type table}}),
    Ad_NewInitial = Table.AddColumn(GroupedRows, "NEW INITIAL", each List.Accumulate( 
    { 0..Table.RowCount([All]) -1 },
    {},
    (s,c)=> s & { if c = 0 then [All]{c}[INITIAL] else s{c-1} + [All]{c-1}[IN] - [All]{c-1}[OUT] }
), type list),
    Result = Table.FromColumns(Table.ToColumns(Table.Combine(Ad_NewInitial[All])) & { List.Combine(Ad_NewInitial[NEW INITIAL]) }, Table.ColumnNames(GroupedRows{0}[All]) & {"NEW INITIAL"} )
in
    Result

Note: Check this link to learn how to use my query.
Check this link if you don't know how to provide sample data.

You would use the same method, just embed it as an aggregation in the Table.Group function:

let
    Source = Excel.CurrentWorkbook(){[Name="Table3"]}[Content],
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"WEEK", Int64.Type}, {"PRODUCT ID", Int64.Type}, {"INITIAL", Int64.Type}, {"IN", Int64.Type}, {"OUT", Int64.Type}}),
    
    #"Grouped Rows" = Table.Group(#"Changed Type", {"PRODUCT ID"}, {
        {"New Initial", (t)=>              
          Table.FromColumns(
            Table.ToColumns(t) &
                {List.Generate(
                    ()=>[a=t[INITIAL]{0}, idx=0],
                    each [idx] < Table.RowCount(t),
                    each [a = [a] + t[IN]{[idx]} - t[OUT]{[idx]}, idx=[idx]+1],
                    each [a])},
                    Table.ColumnNames(t) & {"NEW INITIAL"}),
            type table[WEEK=Int64.Type,PRODUCT ID=Int64.Type, INITIAL=Int64.Type, 
                            IN=Int64.Type, OUT=Int64.Type, NEW INITIAL=Int64.Type]}}),

    #"Expanded New Initial" = Table.ExpandTableColumn(#"Grouped Rows", "New Initial", {"WEEK", "INITIAL", "IN", "OUT", "NEW INITIAL"})
in
    #"Expanded New Initial"

ronrsnfld_0-1709234555789.png

 

 

 

It worked!!! Thank you so much I really started to think that power query did not have that capability but you proved me wrong.

Helpful resources

Announcements
Europe Fabric Conference

Europe’s largest Microsoft Fabric Community Conference

Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.

Power BI Carousel June 2024

Power BI Monthly Update - June 2024

Check out the June 2024 Power BI update to learn about new features.

RTI Forums Carousel3

New forum boards available in Real-Time Intelligence.

Ask questions in Eventhouse and KQL, Eventstream, and Reflex.

Top Solution Authors
Top Kudoed Authors