Python to DAX Conversion

neil37 — Sat, 13 Feb 2021 19:13:18 GMT

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!

Re: Python to DAX Conversion

rfigtree — Sat, 13 Feb 2021 23:16:36 GMT

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] )

topic Re: Python to DAX Conversion in DAX Commands and Tips

Python to DAX Conversion

Re: Python to DAX Conversion