Daniel,
I'm afraid I was a bit confused with your application case.
I assumed that there was an independent variable such as time or other
which the other two, vt12 and vv12, depend on. If this were the case,
the expected graph could be a curve or rather a trajectory with some
hysteresis.
But if your data are just measurements in no particular order of what is
a functional relation of one variable respect to the other, for instance
vt12 = f(vv12), then the approach is different. You should basically
sort the independent variable in increasing order using gsort and apply
the same sorting to the dependent variable:
[x, I] = gsort(vv12,"g","i");
y = vt12(I);
Then you can proceed to interpolate with spline or lsg_splin.
Regards,
Federico Miyara
On 10/04/2020 21:05, Daniel Stringari wrote:
Federico,
I appreciate the help. Below is a list of the code on which I try to
plot the data with Isq_splin:
c = size (vt12)
a = 0
b = c (1) // c (1) = 16
n = c (1)
x = linspace (a, b, n)
[y, d] = lsq_splin (vt12, vv12, x ')
plot (y, d, 'r')
xlabel ('Speed (rpm)')
ylabel ('Torque (Nm)')
title ('Torque x speed values')
//vt12 = 5350.3 5380.19 5410.08 5439.96 4149.5 4179.35 3756.57 3602.73
3568.12 3597.85 3681.91 3711.59 6143.24 6172.86 6202.49 6232.1
//vv12 = 40.16 39.93 39.71 39.49 69.04 68.54 95.32 119.26
140.49 139.32 155.62 154.37 93.27 92.82 92.38 91.94
but I'm getting the error: lsq_plin: There are not enough points to
adjust.
Does anyone understand what could be wrong?
On Wed, Apr 8, 2020 at 12:54 AM Federico Miyara
<[email protected] <mailto:[email protected]>> wrote:
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> <http://mailinglists.scilab.org/file/t498028/annex_1.png>
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