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

July 7 - July 17 | Round 2 of the Power BI Dataviz World Championships. Don't miss your chance! Learn more

Reply
Dicken
Post Prodigy
Post Prodigy

Transform Column / Type



Hello, 
Can some one explain this ;   

= Table.TransformColumns( Source, 
{ "Date", each Date.From(_)    } 

which does what it say   "date"  now = a date ; 
but if I dispense with the full syntax 

= Table.TransformColumns( Source, 
{ "Date", Date.From } )

I now also transforms the date type ?  which is useful, just wondered why  ? 

Richard.

1 ACCEPTED SOLUTION
MasonMA
Super User
Super User

Hi @Dicken 

 

I think it's the behavior of Table.TransformColumns. If you see 

Table.TransformColumns - Table Function | Power Query M

this function decides how to apply the transformation function to each value or whether to update the column type metadata.

 

In { "Date", each Date.From(_) }, Table.TransformColumns only sees a custom lambda, “(x) => Date.From(x)”. It doesn’t know the return type of this lambda, so it leaves the column type metadata unchanged.

While in { "Date", Date.From }, Table.TransformColumns sees a native function that has a declared return type in the M library (type date). Since it knows that return type, it sets the column’s metadata to date as well.

 

Ran a simple test below, 

let
    Query1 = 
  let
    Source = #table(type table [Date = text], {{"2025-08-22"}}),
    Transform1 = Table.TransformColumns(Source, {"Date", each Date.From(_)}),
    Transform2 = Table.TransformColumns(Source, {"Date", Date.From})
  in
    { Transform1, Transform2 }
in
    Query1

MasonMA_1-1755879371212.pngMasonMA_0-1755879344613.png

View solution in original post

3 REPLIES 3
MasonMA
Super User
Super User

Hi @Dicken 

 

I think it's the behavior of Table.TransformColumns. If you see 

Table.TransformColumns - Table Function | Power Query M

this function decides how to apply the transformation function to each value or whether to update the column type metadata.

 

In { "Date", each Date.From(_) }, Table.TransformColumns only sees a custom lambda, “(x) => Date.From(x)”. It doesn’t know the return type of this lambda, so it leaves the column type metadata unchanged.

While in { "Date", Date.From }, Table.TransformColumns sees a native function that has a declared return type in the M library (type date). Since it knows that return type, it sets the column’s metadata to date as well.

 

Ran a simple test below, 

let
    Query1 = 
  let
    Source = #table(type table [Date = text], {{"2025-08-22"}}),
    Transform1 = Table.TransformColumns(Source, {"Date", each Date.From(_)}),
    Transform2 = Table.TransformColumns(Source, {"Date", Date.From})
  in
    { Transform1, Transform2 }
in
    Query1

MasonMA_1-1755879371212.pngMasonMA_0-1755879344613.png

Thanks ,  

RD

(_) as date => Date.From(_)

Helpful resources

Announcements
FabCon and SQLCon Barcelona 2026

FabCon & SQLCon – Barcelona 2026

Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.

60 days of Data Days Carousel

Data Days 2026

Join Fabric Data Days 2026: 60 days of free live/on-demand sessions, challenges, study groups, and certification opportunities.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.