+4@takashi I have a dataset like this:
DateValue01/01/2018201/01/2018001/05/2018301/12/2018102/01/2018302/02/20184I want to create an attribute for Daily Average Value in Each Month, and store the daily average (sum of values within each month ÷ number of days in that month).
The denominator is where I'm having trouble. Any suggestions on the best way to find the number of days within a given month?
Best answer by ebygomm
If you didn't want to use python, you can get the first day of the month then add a month and take away the first date to get number of days
+16I know how to do this in Python
from calendar import monthrange
monthrange(2012, 2)
(2, 29)
+44If you didn't want to use python, you can get the first day of the month then add a month and take away the first date to get number of days
+44You can also use something like the following in an inline querier if your dates are in ISO format
select aa.*, strftime('%d',date(aa."date",'start of month','+1 month','-1 second')) as days_in_month from Table1 aa;
If you didn't want to use python, you can get the first day of the month then add a month and take away the first date to get number of days
Depending on locale, the format might be %d/%m/%Y. Please specify the format explicitly, in this kind of question.
+4Thanks @egomm and @takashi, I think this should work!
Since I've become such a heavy FME user, I almost always convert all dates to FME format, %Y%m%d before transforming or trying to calculate anything.
