Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
I am working with one file that contains a column time that contains value for example like 2 hrs and 20 min so I want to convert into min like 140 min.
So kindly help me by giving me the solution
Solved! Go to Solution.
Hi @Arpitpawar, I don't know how exactly is your column with that time or duration stored but you can do something like this:
Result
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMsooKlYwMsjNzFPSUTKyMjJQio0FAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t]),
Ad_Col1ToMinutes = Table.AddColumn(Source, "Col1 to Minutes", each
[ l = List.Transform(Splitter.SplitTextByCharacterTransition({"0".."9"}, {"a".."z", "A".."Z"})([Column1]), (x)=> Number.From(Text.Select(x, {"0".."9"}))),
m = l{0} * 60 + l{1}
][m], Int64.Type
),
Ad_Col2ToMinutes = Table.AddColumn(Ad_Col1ToMinutes, "Col2 to Minutes", each
[ l = List.Transform(Text.Split([Column2], ":"), (x)=> Number.From(Text.Trim(x))),
m = l{0} * 60 + l{1}
][m], Int64.Type)
in
Ad_Col2ToMinutes
Hi @Arpitpawar ,
Here is my sample data:
The data type is Duration.
Please follow the screenshot below:
The final output is as below:
Best Regards,
Dino Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Arpitpawar ,
Here is my sample data:
The data type is Duration.
Please follow the screenshot below:
The final output is as below:
Best Regards,
Dino Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Arpitpawar, I don't know how exactly is your column with that time or duration stored but you can do something like this:
Result
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMsooKlYwMsjNzFPSUTKyMjJQio0FAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t]),
Ad_Col1ToMinutes = Table.AddColumn(Source, "Col1 to Minutes", each
[ l = List.Transform(Splitter.SplitTextByCharacterTransition({"0".."9"}, {"a".."z", "A".."Z"})([Column1]), (x)=> Number.From(Text.Select(x, {"0".."9"}))),
m = l{0} * 60 + l{1}
][m], Int64.Type
),
Ad_Col2ToMinutes = Table.AddColumn(Ad_Col1ToMinutes, "Col2 to Minutes", each
[ l = List.Transform(Text.Split([Column2], ":"), (x)=> Number.From(Text.Trim(x))),
m = l{0} * 60 + l{1}
][m], Int64.Type)
in
Ad_Col2ToMinutes
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 6 | |
| 4 | |
| 3 | |
| 3 | |
| 2 |