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Anonymous
Not applicable

Format Time From YouTube Output

Hi all,

 

I have a set of YouTube data where I'm trying to format the duration column to something usable. YouTube exports the duration values out differently, dependent on if the video is hours, minutes or seconds long. The formatting looks like this:

 

Hours: PT1H45M56S 

(i.e. 01:45:56)

 

Minutes: PT2M17S

(i.e. 00:02:17)

 

Seconds: PT41S

(i.e. 00:00:41)

 

Can anyone suggest how I would convert these to a unified hh:mm:ss format. I have all three of these formats in a single dataset so need something that could do it all at once.

 

Hope that makes sense! Thanks in advance!

 

Sam

 

1 ACCEPTED SOLUTION
v-juanli-msft
Community Support
Community Support

Hi @Anonymous

 

Do the three formats exist in three columns?

I test with the following dataset.

3.png

 

When I import it to Power BI desktop and edit it in Query Editor, it shows as below.

 

2.png

 

In Advanced Editor, edit code like this

 

let

    Source = Excel.Workbook(File.Contents("C:\Users\maggiel\Desktop\case\6\6.4\Format Time From YouTube Output.xlsx"), null, true),

    Sheet1_Sheet = Source{[Item="Sheet1",Kind="Sheet"]}[Data],

    #"Promoted Headers" = Table.PromoteHeaders(Sheet1_Sheet, [PromoteAllScalars=true]),

    #"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Hours: ", type duration}, {"Minutes", type duration}, {"Seconds", type duration}}),

    #"Split Column by Delimiter" = Table.SplitColumn(Table.TransformColumnTypes(#"Changed Type", {{"Hours: ", type text}}, "en-US"), "Hours: ", Splitter.SplitTextByEachDelimiter({","}, QuoteStyle.Csv, false), {"Hours: .1", "Hours: .2"}),

    #"Split Column by Delimiter1" = Table.SplitColumn(Table.TransformColumnTypes(#"Split Column by Delimiter", {{"Minutes", type text}}, "en-US"), "Minutes", Splitter.SplitTextByEachDelimiter({","}, QuoteStyle.Csv, false), {"Minutes.1", "Minutes.2"}),

    #"Split Column by Delimiter2" = Table.SplitColumn(Table.TransformColumnTypes(#"Split Column by Delimiter1", {{"Seconds", type text}}, "en-US"), "Seconds", Splitter.SplitTextByEachDelimiter({","}, QuoteStyle.Csv, false), {"Seconds.1", "Seconds.2"}),

    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter2",{{"Hours: .1", type text}, {"Hours: .2", type text}, {"Minutes.1", type text}, {"Minutes.2", type text}, {"Seconds.1", type text}, {"Seconds.2", type text}}),

    #"Removed Columns" = Table.RemoveColumns(#"Changed Type1",{"Hours: .2", "Minutes.2", "Seconds.2"})

in

#"Removed Columns"

 

 

Finally, I get this dataset

4.png

 

Best Regards

Maggie

View solution in original post

2 REPLIES 2
v-juanli-msft
Community Support
Community Support

Hi @Anonymous

 

Do the three formats exist in three columns?

I test with the following dataset.

3.png

 

When I import it to Power BI desktop and edit it in Query Editor, it shows as below.

 

2.png

 

In Advanced Editor, edit code like this

 

let

    Source = Excel.Workbook(File.Contents("C:\Users\maggiel\Desktop\case\6\6.4\Format Time From YouTube Output.xlsx"), null, true),

    Sheet1_Sheet = Source{[Item="Sheet1",Kind="Sheet"]}[Data],

    #"Promoted Headers" = Table.PromoteHeaders(Sheet1_Sheet, [PromoteAllScalars=true]),

    #"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Hours: ", type duration}, {"Minutes", type duration}, {"Seconds", type duration}}),

    #"Split Column by Delimiter" = Table.SplitColumn(Table.TransformColumnTypes(#"Changed Type", {{"Hours: ", type text}}, "en-US"), "Hours: ", Splitter.SplitTextByEachDelimiter({","}, QuoteStyle.Csv, false), {"Hours: .1", "Hours: .2"}),

    #"Split Column by Delimiter1" = Table.SplitColumn(Table.TransformColumnTypes(#"Split Column by Delimiter", {{"Minutes", type text}}, "en-US"), "Minutes", Splitter.SplitTextByEachDelimiter({","}, QuoteStyle.Csv, false), {"Minutes.1", "Minutes.2"}),

    #"Split Column by Delimiter2" = Table.SplitColumn(Table.TransformColumnTypes(#"Split Column by Delimiter1", {{"Seconds", type text}}, "en-US"), "Seconds", Splitter.SplitTextByEachDelimiter({","}, QuoteStyle.Csv, false), {"Seconds.1", "Seconds.2"}),

    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter2",{{"Hours: .1", type text}, {"Hours: .2", type text}, {"Minutes.1", type text}, {"Minutes.2", type text}, {"Seconds.1", type text}, {"Seconds.2", type text}}),

    #"Removed Columns" = Table.RemoveColumns(#"Changed Type1",{"Hours: .2", "Minutes.2", "Seconds.2"})

in

#"Removed Columns"

 

 

Finally, I get this dataset

4.png

 

Best Regards

Maggie

Anonymous
Not applicable

Hi there,

 

Thanks for your reply! I actually went about it in another way. I had to create three columns - one for each type of length - i.e. if the video is seconds, minutes or hours long.

 

DAX as follows:

 

Seconds: 

ConvertSecs = IF(OR(LEN(YouTubeMainData[duration - Copy])=2,LEN(YouTubeMainData[duration - Copy])=3),"00:00:"&SUBSTITUTE(YouTubeMainData[duration - Copy],"S","")+0)

 

Minutes: 

ConvertMins = if(FIND("M",YouTubeMainData[duration - Copy],,BLANK())=2,"00:0"&SUBSTITUTE(SUBSTITUTE(YouTubeMainData[duration - Copy],"M",":"),"S",""))+0

 

Hours: 

ConvertHours = if(FIND("H",YouTubeMainData[duration - Copy],,BLANK())=2,"0"&SUBSTITUTE(SUBSTITUTE(SUBSTITUTE(YouTubeMainData[duration - Copy],"H",":"),"M",":"),"S",""))+0

 

And then a final column to bring it all together:

 

Duration_Calc = YouTubeMainData[ConvertSecs]+YouTubeMainData[ConvertMins]+YouTubeMainData[ConvertHours]

 

Thanks for your assistance anyhow!

 

Sam

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