Join us for an expert-led overview of the tools and concepts you'll need to pass exam PL-300. The first session starts on June 11th. See you there!
Get registeredPower BI is turning 10! Let’s celebrate together with dataviz contests, interactive sessions, and giveaways. Register now.
Dear all,
In my table there is a column with hour in decimal format:
example 6,57 = 6:57 AM
I tried to convert it in hours but it didn't work.
How can I do that? May I create a new column with these values in hour format?
Thanks in advance
Paolo
Solved! Go to Solution.
Hi @paolomint ,
Sorry for my late reply,
let
Source = #table(type table[Data = text],List.Zip({{"9,00","7,30","8,59","12,45","17,20"}})),
#"Split Column by Delimiter" = Table.SplitColumn(Source, "Data", Splitter.SplitTextByAnyDelimiter({","}, QuoteStyle.Csv), {"Hour", "Minute"}),
#"Changed Type" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Hour", Int64.Type}, {"Minute", Int64.Type}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each Time.From(#datetime(1899, 12, 30, [Hour], [Minute], 12)))
in
#"Added Custom"
If it is in decimal format, there is no comma in Power BI, so I think it may be in text format.
The original data is text similar to 9,00. I first divide the hour and minute into two columns based on the comma, then convert the hour and minute columns into whole number types, and then convert them to time.
You can check more details from here.
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @paolomint ,
Could you tell me if your problem has been solved?
If it is, kindly Accept it as the solution. More people will benefit from it.
Or you are still confused about it, please provide me with more details about your table and your problem or share me with your pbix file from your Onedrive for Business.
Best Regards,
Stephen Tao
Dear Stephen, please apologize,
I tried your solution but it doesn't work anytime, just sometime and I can't understand why.
I can't dowload any picture, anyhow here you are some results:
9,00 = 09:09:00 (wrong)
7,30 = 07:00:00 (wrong)
8,59 = 08:59:00 (correct)
7,45 = 07:45:00 (correct).
Mover, I didnt say before, the format is 24h, so often I have data like:
12,45
17,20
Please note I was asking for a Power query solution, anyhow also a power Bi solution could be usefull.
thank for your patience
Paolo
Hi @paolomint ,
Sorry for my late reply,
let
Source = #table(type table[Data = text],List.Zip({{"9,00","7,30","8,59","12,45","17,20"}})),
#"Split Column by Delimiter" = Table.SplitColumn(Source, "Data", Splitter.SplitTextByAnyDelimiter({","}, QuoteStyle.Csv), {"Hour", "Minute"}),
#"Changed Type" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Hour", Int64.Type}, {"Minute", Int64.Type}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each Time.From(#datetime(1899, 12, 30, [Hour], [Minute], 12)))
in
#"Added Custom"
If it is in decimal format, there is no comma in Power BI, so I think it may be in text format.
The original data is text similar to 9,00. I first divide the hour and minute into two columns based on the comma, then convert the hour and minute columns into whole number types, and then convert them to time.
You can check more details from here.
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @paolomint ,
Try this calculated column
Time = TIME(LEFT([Number],1),RIGHT([Number],2),0)
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
try this
Table.AddColumn(Origine, "hour", each DateTime.Time(#datetime(1,1,1,Number.From(Text.Split([Colonna1],","){0}),Number.From(Text.Split([Colonna1],","){1}),0)))
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
16 | |
10 | |
10 | |
8 | |
7 |