is passable give different distance in list of point to delete
ex: point 1 - 30
point 2 - 20
point 3 - 10
...........
the point all in one list
i try a lot but didn't found the way ...
1#comments
But I seem to be having a problem with this closest to some value thing: values in my list are too small, up too 1 x 10^-30. The closest value I want to search for in that list is 1.25 x 10^-9
But Grasshoppers "find similar" component recognizes all of the values from the list, to be similar to 1.25 x 10^-9, because all of those values are in range from 0.1 to 1 x 10^-30.
Is there a way some kind of tolerance can be made, when it comes to recognizing a similar value?…
taken into account from this range. So the larger the range, the better the weather sample, but I would say if you can't find better than that, 10 year range will do the job.…
hey, somehow it worked, thx. is there a way to convert the number to time, in other word, if 22.5 that means 22:30, if 22.75 that means 22:45...etc
thanks for your support!
des]. I have 5-variables with 4 options each (a total of 4x4x4x4x4 = 1024 variations):
Height: 6,7,8 & 9 ft
Depth inside: 1, 2, 3 & 4 ft
Depth outside: 1, 2, 3 & 4 ft
Rotation outside: 0, 15, 30 & 45 degree
Rotation inside: 0, 15, 30 & 45 degree
I do not see convergence yet (see attached). The last combination of variables say 9-ft high, 4-ft deep (inside & outside) and 0-deg rotation (horizontal) inside and outside. Is this the optimized value of the light shelf parameters for the best illumination level at the sensor plane for that specific place, time and date?
Shamim.…
Added by Shamim Javed at 1:01pm on November 3, 2013
e aquí!
Course Description:This course is for design professionals who are looking to efficiently learn concepts and features of Grasshopper at an accelerated pace in an instructor-led online environment. The online course will meet for a total of four sessions. We will have a short orientation to cover the GoToTraining module. The Grasshopper training sessions will be split into three half-day sessions. Details...
Horario:Introducción – Febrero 22, 2016De: 9:00 a.m. – 10:30 a.m. (EST) Clases – Febrero 23 al 25, 2016Curso: 9:00 a.m. – 10:30 a.m. (EST)Break: 10:30 a.m. – 10:45 am (EST)Curso: 10:45 a.m. – 1:00 p.m. (EST)Q&A (Preguntas y tarea) de 1:00 p.m. – 1:35 pm (EST)Para Registrarse:correo electrónico: Jackie Nasserteléfono: 305 513 4445http://mcneelmiami.com/online___espanol/m/1/15/2016…