cancel
Showing results for 
Search instead for 
Did you mean: 

Fabric is Generally Available. Browse Fabric Presentations. Work towards your Fabric certification with the Cloud Skills Challenge.

Reply
Yingjing
Frequent Visitor

convert dax to power query m

https://community.fabric.microsoft.com/t5/Desktop/Inventory-aging-report/m-p/2493851#M887356

 

hi all,

 

i got a issue similar to the link above but with power query m.

please help to convert the dax to power query m, thanks!

1 ACCEPTED SOLUTION

@Yingjing 

let
    Source = your_table,
    a = List.Buffer(Table.ToRecords(Table.Sort(Source, "Index"))),
    count = List.Count(a),
    provision = List.Sum(Source[Provision]),
    gena = 
        List.Generate(
            () =>
                [i = 0,
                prov_before = provision,
                prov_after = List.Min({0, a{i}[Value] + prov_before}),
                row = a{i} & [Result = prov_before - prov_after]],
            (x) => x[i] < count,
            (x) => 
                [i = x[i] + 1,
                prov_before = x[prov_after],
                prov_after = List.Min({0, prov_before + a{i}[Value]}),
                row = a{i} & [Result = prov_before - prov_after]],
            (x) => x[row]
        ),
    tbl = Table.FromRecords(gena)
in
    tbl

View solution in original post

4 REPLIES 4
AlienSx
Super User
Super User

Hello, @Yingjing 

let
    Source = your_table,
    fx_fifo = (tbl as table) =>
        [a = List.Buffer(Table.ToRecords(Table.Sort(tbl, "Date"))),
        count = List.Count(a),
        stock_out = List.Sum(tbl[Stock Out]),
        gena = 
            List.Generate(
                () =>
                    [i = 0,
                    sold = a{i}[Stock Out] = null,
                    stock_before = stock_out,
                    stock_after = if sold then List.Max({0, stock_before - a{i}[New Stock]}) else stock_before,
                    row = a{i} & [Result = if sold then List.Max({0, a{i}[New Stock] - stock_before}) else null]],
                (x) => x[i] < count,
                (x) => 
                    [i = x[i] + 1,
                    sold = a{i}[Stock Out] = null,
                    stock_before = x[stock_after],
                    stock_after = if sold then List.Max({0, stock_before - a{i}[New Stock]}) else stock_before,
                    row = a{i} & [Result = if sold then List.Max({0, a{i}[New Stock] - stock_before}) else null]],
                (x) => x[row]
            ),
        res = Table.FromRecords(gena)][res],
    group = Table.Group(Source, "Branch", {{"trn", fx_fifo}}),
    expand = Table.ExpandTableColumn(group, "trn", {"Date", "New Stock", "Stock Out", "Result"})
in
    expand

Hi Alien,

 

hows the pq m would be if it is for the table below (allocate "provision" according to sequence of "index", but not exceeding "value"). Result is the outcome I want.

index 1 "result"= -1784604 (mqx of "Value")

index 2 "result" = -457394 (-2241997.62+1784604 )

AttributeIndexValueProvisionResult
> 5 years11784603.62-2241997.62-1784604
> 4 - 5 years2670995.440-457394
> 3 - 4 years3577133.7800
> 2 - 3 years4544003.5100
> 1 - 2 years53913885.9400
> 6 mths - 1 year69673161.9100
< 6 mths750572704.5500

 

@Yingjing 

let
    Source = your_table,
    a = List.Buffer(Table.ToRecords(Table.Sort(Source, "Index"))),
    count = List.Count(a),
    provision = List.Sum(Source[Provision]),
    gena = 
        List.Generate(
            () =>
                [i = 0,
                prov_before = provision,
                prov_after = List.Min({0, a{i}[Value] + prov_before}),
                row = a{i} & [Result = prov_before - prov_after]],
            (x) => x[i] < count,
            (x) => 
                [i = x[i] + 1,
                prov_before = x[prov_after],
                prov_after = List.Min({0, prov_before + a{i}[Value]}),
                row = a{i} & [Result = prov_before - prov_after]],
            (x) => x[row]
        ),
    tbl = Table.FromRecords(gena)
in
    tbl

I'm grateful that your solution works, thanks a lot!😁

Helpful resources

Announcements
PBI November 2023 Update Carousel

Power BI Monthly Update - November 2023

Check out the November 2023 Power BI update to learn about new features.

Community News

Fabric Community News unified experience

Read the latest Fabric Community announcements, including updates on Power BI, Synapse, Data Factory and Data Activator.

Power BI Fabric Summit Carousel

The largest Power BI and Fabric virtual conference

130+ sessions, 130+ speakers, Product managers, MVPs, and experts. All about Power BI and Fabric. Attend online or watch the recordings.

Top Solution Authors