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neil37's avatar
neil37
Advocate I
5 years ago

Python to DAX Conversion

Hello, 

 

We are trying to convert the following python code into DAX. The goal is to

distinct count of case number (caseno) grouped by (year), where occ date/time (occuron) is like YYYY
 

Any help or assitance is greatly appreciated. Anything bolded is the column name in our dataset. Anything underlined denotes the table. The tables and columns would be indicated in DAX like: (e.g., 'table' and [column] would come from this: 'wa offense'[caseno]

 

SELECT date_format(occuron, '%Y') AS occuronyear, count(DISTINCT caseno) AS dis_caseno FROM wa offense GROUP BY date_format(occuron, '%Y')
____________________
Specfic ibroff category:
 
SELECT date_format(occuron, '%Y') AS occuronyear, count(DISTINCT caseno) AS dis_caseno, ibroff
FROM wa offense
GROUP BY date_format(occuron, '%Y'), ibroff
 
 
Alternatively, is there a way to utilize python instead of DAX? Thank you!
Conversion
DAX
Python

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  • rfigtree's avatar
    rfigtree
    Resolver III
    5 years ago

    hi i only know how to write dax within power pivot, but i think you would write something like this.

    if it doesnt work the concept is correct, might just need to tweak the syntax to suit your environment.

     

     

    evaluate

    summarize(
                addcolumns(table,"Year",format(table[date],"yyyy"),
                [Year],
                [caseno]
              )