Daniel,
You may try with lsq_spline, which unlike ordinary spline, doesn't fit
the data exactly, and it doesn't need the data with any particular order.
But trying to understand your graph, it seems that you should
parametrize two variables independently, each one with respect to the
index. Something like this:
x = [x1, x2, ..., xn]
y = [y1, y2, ..., yn]
Then you approximate x vs 1:n and y vs 1:n using spline or lsq_splin.
Finally you plot xs vs ys (the smoothed versions of x and y)
Regards,
Federico Miyara
On 07/04/2020 22:48, Daniel Stringari wrote:
Good night friends,
I wrote an email before, but I believe that I was not clear in my words and
so I will write more clearly.
In this annex 1, I have the graph I am generating. Basically I am extracting
values of x (speed) and y (torque) from excel and generating vectors of x []
and y [] to plot internal lines. I want to smooth these lines, but the
functions of the scilab are only for growing points. I thought about
creating cubic splines manually, but I don't know how to do it. Can anybody
help me ?
In addition, I would like to color my chart with level colors according to
the colorbar, but I am not able to implement contour2d for this case.
thanks.
<http://mailinglists.scilab.org/file/t498028/annex_1.png>
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