Ákos Bánár Posted May 9, 2023 Posted May 9, 2023 Dear All, In python I have the following logic what I'd like to translate to Seeq formula. np.where((testdf['Signal_1']) < 0, testdf['Signal_2'], np.where((testdf['Signal_1']) < 30, testdf['Signal_2'], testdf['Signal_1'])) I know it would possible with capsules but it is only one leg of the whole solution and I think it's obscure to have 20-30 capsules for only one calculation what we use at others too.
Thorsten Vogt Posted May 9, 2023 Posted May 9, 2023 Hi Akos, if I understood the code correctly it returns "Signal_2" everytime "Signal_1" is below 30, otherwise "Signal_1" will be returned. In Seeq you could use $signal1.splice($signal2, $signal1 < 30) for that. You may also have a look at this post: Regards, Thorsten 1
Ákos Bánár Posted May 9, 2023 Author Posted May 9, 2023 (edited) Thank you so much. It helped a lot. Edited May 9, 2023 by Ákos Bánár
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