Advance your Data & AI career with 50 days of live learning, dataviz contests, hands-on challenges, study groups & certifications and more!
Get registeredGet Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now
How can I convert a number like 1523 to time format (15:23) Using Power Query M?
Solved! Go to Solution.
Hi @tlotfi,
Here I made one sample for your reference.
Firstly, we need to split the column, then we can merge the columns we got as the picture below.
Here is the M code in power query for your reference.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQ1MlGK1QExDMzADAMLI1Mww8jIyFgpNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", Int64.Type}}),
#"Split Column by Position" = Table.SplitColumn(Table.TransformColumnTypes(#"Changed Type", {{"Column1", type text}}, "en-US"), "Column1", Splitter.SplitTextByPositions({0, 2}, true), {"Column1.1", "Column1.2"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Position",{{"Column1.1", Int64.Type}, {"Column1.2", Int64.Type}}),
#"Inserted Merged Column" = Table.AddColumn(#"Changed Type1", "Merged", each Text.Combine({Text.From([Column1.1], "en-US"), Text.From([Column1.2], "en-US")}, ":"), type text),
#"Changed Type2" = Table.TransformColumnTypes(#"Inserted Merged Column",{{"Merged", type time}})
in
#"Changed Type2"
For more details, please check the pbix as attached.
Regards,
Frank
Hi @tlotfi,
Here I made one sample for your reference.
Firstly, we need to split the column, then we can merge the columns we got as the picture below.
Here is the M code in power query for your reference.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQ1MlGK1QExDMzADAMLI1Mww8jIyFgpNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", Int64.Type}}),
#"Split Column by Position" = Table.SplitColumn(Table.TransformColumnTypes(#"Changed Type", {{"Column1", type text}}, "en-US"), "Column1", Splitter.SplitTextByPositions({0, 2}, true), {"Column1.1", "Column1.2"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Position",{{"Column1.1", Int64.Type}, {"Column1.2", Int64.Type}}),
#"Inserted Merged Column" = Table.AddColumn(#"Changed Type1", "Merged", each Text.Combine({Text.From([Column1.1], "en-US"), Text.From([Column1.2], "en-US")}, ":"), type text),
#"Changed Type2" = Table.TransformColumnTypes(#"Inserted Merged Column",{{"Merged", type time}})
in
#"Changed Type2"
For more details, please check the pbix as attached.
Regards,
Frank
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
Check out the October 2025 Power BI update to learn about new features.