Forum Discussion
Power query function - loop for simple PQ functuin
Hi nirrobi,
In my opinion, you can directly load the text file to create the table.
Sample:
1. add the column name to txt file with the same format.
2. Load it to query editor.
3. Click on "Use First Row As Headers"
4. Change the columns type to finish the loading.
Regards,
Xiaoxin Sheng
Thanks a lot.
My case is more complicated and need further edit.
Can You please help me to create function that take 3 parameter and make the adjustment accordingly.
- Anonymous9 years agoNot applicable
Hi nirrobi,
I'd like to suggest you use csv format to store the data.(I test to use position and length to split columns, but I find it only support use fixed number of characters to split column.)
Sample:
HDR,4324,645654,20161111
L01,345,456465,20151010
L01,1111,456789,20160303
L02,5555,777777,20160909Write the function to load data and format table.
FormatList: Format table path, the column name field
let FormatList=(FilePath as text,Name as text) as list => let Source = Excel.Workbook(File.Contents(FilePath), null, true), Sheet1_Sheet = Source{[Item="Sheet1",Kind="Sheet"]}[Data], #"Promoted Headers" = Table.PromoteHeaders(Sheet1_Sheet), Custom= Table.ToList(Table.SelectColumns(#"Promoted Headers",Name)) in Custom in FormatListLoadData: Data file path, Format table path, Column name field
let LoadData=(DataPath as text,FormatFilePath as text,ColumnName as text) as table => let Source = Table.FromColumns({Lines.FromBinary(File.Contents(DataPath))}), #"Split" = Table.SplitColumn(Source,"Column1",Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv),FormatSource(FormatFilePath,ColumnName)) in #"Split" in LoadDataUse:
"Name" means column name is store in Name field.
Notice: custom function only support at desktop side.
Regards,
Xiaoxin Sheng
- nirrobi9 years agoHelper V
thanks a lot!
Unfortunately it's not what I am looking for :-(
I want to build (simple) function that take as parameter 3 variable:
- name of column
- start position
- number of characters
then I insert to the function my txt file file with the paramter and I got as many columns the table had with relevant data inside.