Power Query - full join or create combine list

[Anonymous]

Hi,

I have to list with generated values in Power Query:

"List.Numbers(0, 25)"

"List.Dates(#date(2019, 10, 27), 3, #duration(1, 0, 0, 0))"

and I want to full join it as in the pictures below.

Or maybe generate final list, where it will be to combine already.

Thank you

[Anonymous]

Seems like you need a crossjoin.

Create a dummy column in each of the tables. Give the same value to all the rows of the dummy column in both tables (e.g.: "1"). Inner joinjoin tables on the dummy columns. Voila: you have the Cartesian product of the tables.

[101Mathew · Accepted solution]

Please can you confirm why you wish to do this.  Most of the time, there is another method to achieve the same goal.

To answer you question, you could pivot, then duplicate and unpivot... but the method is not ideal

You could create a column column on the date table which generate your list of numbers, then all you would need to do is expand them (this would then create duplicates of your dates as required)

Regards,

Mathew

[Anonymous]

I am not against another method. I welcome better way than mine.

I choose this method because It seemed to be the simplest method for me, but I don't have much experience with Power Query. 

My goal:

I have a users who give me a date range, date_from and date_to. I have to create table with each date from this range in first column and with numbers from 0 to 24 in second column for each date (for example from 27.10.2019 to 29.10.2019)

Next I need to left join data from ODataFeed to my created table above.

And next I need to create pivot table from these joining data. In row with dates and in columns with numbers from 0 to 24.

This is my goal. 

[101Mathew]

@Anonymous @Ashish_Mathur @Anonymous

My orginal power query solution, will work fine, as noted with the screen shot.  you can use excel files, to pull the users dates into your query (or a paramenter setting).

After go to add column, and click on custom column then =List.Number(0,25) this produces a list embeded into your dates... expand the list you duplicate the dates with the numbers needed.

(you could also have this number range set as a paramenter is needed)

Regards,

Mathew

[Anonymous]

Thank you guys.

I solved my problem with solution from @101Mathew . I created list List.Dates and then I added column Table.AddColum. It works fine.

...
Zdroj = Table.FromValue(List.Dates(DateTime.Date(dates_from), interval, #duration(1, 0, 0, 0))),
    #"Pridané vlastné" = Table.AddColumn(Zdroj, "numbers", each List.Numbers(0, 25)),
...

But I have one new problem with Table.Pivot. I want to order columns in pivot table, but I have to change column first from number to text and then add "0" before number if it is necesary. I don't know how to do it.

This is changing type code, which works fine:

#"Zmenený typ" = Table.TransformColumnTypes(#"Pridané vlastné1",{{"numbers", type text}}),

Can you help me insert code instead of ????? which add 0 .... I think it is something like Text.PadStart

This is all code:

let
    S1 = Excel.CurrentWorkbook(){[Name="start"]}[Content],
    S2 = Excel.CurrentWorkbook(){[Name="end"]}[Content],
    dates_from = S1{0}[start],
    dates_to = S2{0}[end],
    interval = Number.From( dates_to - dates_from) +1,
    Zdroj = Table.FromValue(List.Dates(DateTime.Date(dates_from), interval, #duration(1, 0, 0, 0))),
    #"Pridané vlastné" = Table.AddColumn(Zdroj, "numbers", each List.Numbers(0, 25)),
    #"Rozbalené Vlastné" = Table.ExpandListColumn(#"Pridané vlastné", "numbers"),
    #"Zlúčené dotazy" = Table.NestedJoin(#"Rozbalené Vlastné",{"Value", "numbers"},read_data,{"Date", "Hours"},"read_data",JoinKind.LeftOuter),
    #"Rozbalené read_data" = Table.ExpandTableColumn(#"Zlúčené dotazy", "read_data", {"Value"}, {"read_data.Value"}),
    #"Pridané vlastné1" = Table.AddColumn(#"Rozbalené read_data", "weekname", each Date.DayOfWeekName([Value])),
    #"Zmenený typ" = Table.TransformColumnTypes(#"Pridané vlastné1",{{"numbers", type text}}),
    ?????
    #"Kontingenčný stĺpec" = Table.Pivot(Table.TransformColumnTypes(#"Zmenený typ", {{"numbers", type text}}, "sk-SK")
	, List.Distinct(Table.TransformColumnTypes(#"Zmenený typ", {{"numbers", type text}}, "sk-SK")[numbers])
	, "numbers"
	, "read_data.Value")
in
    #"Kontingenčný stĺpec"

And picture of data table:

[Anonymous]

It is final code works for me.

Thank you all.

let
    S1 = Excel.CurrentWorkbook(){[Name="start"]}[Content],
    S2 = Excel.CurrentWorkbook(){[Name="end"]}[Content],
    dates_from = S1{0}[start],
    dates_to = S2{0}[end],
    interval = Number.From( dates_to - dates_from) +1,
    Zdroj = Table.FromValue(List.Dates(DateTime.Date(dates_from), interval, #duration(1, 0, 0, 0))),
    #"Pridané vlastné" = Table.AddColumn(Zdroj, "numbers", each List.Numbers(0, 25)),
    #"Rozbalené Vlastné" = Table.ExpandListColumn(#"Pridané vlastné", "numbers"),
    #"Zlúčené dotazy" = Table.NestedJoin(#"Rozbalené Vlastné",{"Value", "numbers"},read_data,{"Date", "Hours"},"read_data",JoinKind.LeftOuter),
    #"Rozbalené read_data" = Table.ExpandTableColumn(#"Zlúčené dotazy", "read_data", {"Value"}, {"read_data.Value"}),
    #"Pridané vlastné1" = Table.AddColumn(#"Rozbalené read_data", "weekname", each Date.DayOfWeekName([Value])),
    #"Zmenený typ" = Table.TransformColumnTypes(#"Pridané vlastné1",{{"numbers", type text}}),
    #"Pridané vlastné2" = Table.AddColumn(#"Zmenený typ", "stlpce", each Text.PadStart([numbers],2,"0")),
    #"Odstránené stĺpce" = Table.RemoveColumns(#"Pridané vlastné2",{"numbers"}),
    #"Kontingenčný stĺpec" = Table.Pivot(Table.TransformColumnTypes(#"Odstránené stĺpce", {{"stlpce", type text}}, "sk-SK")
	, List.Distinct(Table.TransformColumnTypes(#"Odstránené stĺpce", {{"stlpce", type text}}, "sk-SK")[stlpce])
	, "stlpce"
	, "read_data.Value"),
    #"Odstránené ostatné stĺpce" = Table.SelectColumns(#"Kontingenčný stĺpec",{"Value", "weekname", "00", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24"})
in
    #"Odstránené ostatné stĺpce"

[Ashish_Mathur]

Hi,

Refer to the numbers table in this PBI file.

Hope this helps.