On 02.10.2018, at 21:12, Samuel Gougeon <[email protected]> wrote: > > Le 02/10/2018 à 21:02, Heinz Nabielek a écrit : >> On 02.10.2018, at 20:31, Samuel Gougeon <[email protected]> wrote: >>> Le 02/10/2018 à 18:37, Adelson Oliveira a écrit : >>>> Hi, >>>> >>>> In scilab 6.1, I've noticed that the array >>>> >>>> [8.9:0.2:9.9] does contain 8.9 and 9.9, >>>> >>>> but the array, >>>> >>>> [-5.1:0.2:5.1] >>>> >>>> does not contain the last element 5.1! >>>> >>>> find([-5.1:0.2:5.1] == 5.1) = [] >>>> >>>> Why is that? >>>> >>>> Isn't it a bug? >>> We have >>> --> a = -5.1:0.2:5.1; >>> --> delta = a($)+0.2-5.1 >>> delta = >>> 8.882D-16 >>> >>> --> delta/5.1/%eps >>> ans = >>> 0.7843137 >>> >>> So, computing the next value leads to 5.1 but with an excess within the >>> epsilon machine. >>> Because of this excess, this last value is not included in the output set. >>> >>> I am wondering whether we could detect this kind of edge effects, and >>> manage them more softly. >>> >>> Samuel >> >> UNDERSTOOD. But what is a safe way to plot histograms like histplot(a:b:c, >> X) where X is a one-dimensional array? > > histplot(linspace(a, c, round((c-a)/b), X) > or > histplot(a:b:nearfloat("succ",c), X)
THANKS THE LOT. I had all sort of problems in the past..... Heinz _______________________________________________ users mailing list [email protected] http://lists.scilab.org/mailman/listinfo/users
