If your data is defined on a regular x-y grid you could reshape it to
a 2D array, as in
gplot(with=>'image',$x->reshape($n,$m), $y->reshape($n,$m), $z->reshape($n,$m))
with $n and $m the number of pixels along x and along y. If the x-y
data is irregular but almost on a grid, you could use
gplot({trid=>1, view=>'map'},with=>'pm3d',$x->reshape($n,$m),
$y->reshape($n,$m), $z->reshape($n,$m))
For example, the attached image was produced with
$x=xvals(10,10)+random(10,10);
$y=yvals(10,10)+random(10,10);
$z=rvals(10,10);
gplot({trid=>1, view=>'map'},with=>'pm3d',$x, $y, $z);
Regards,
Luis
On Thu, Apr 18, 2024 at 02:19:29PM -0700, Jovan Trujillo wrote:
> If you look at my example code it shows that the Excel data basically has
> the coordinates flattened to a list:
>
> my $x = flat(xvals(10,10)); # This is basically how x-coordinates are
> output from my machine.
> my $y = flat(yvals(10,10)); # Same format as x-coordinates
> my $z = sequence(100)*rand(1); # Some dummy data for this example.
>
> This is just an example to show the structure of the data coming in. A
> sample of the data in the Excel file looks like this:
>
> X (um) Y (um) R (Ohms/sq)
> 174466.6 148753.6 3.205395
> 174438.8 149112.8 2.041845
> 174410.4 149471.7 2.192256
> 174382.7 149830.3 2.345829
> 174354.9 150189.4 2.256398
> 174326.8 150548.4 2.134265
> 174299.2 150907.4 2.360153
> 174271.1 151265.9 2.303999
> 174243.3 151624.9 2.437044
> 174215.4 151983.8 2.454804
> 174187.4 152343 2.407471
> 174159.6 152701.7 2.339043
> 174131.5 153060.5 2.363042
> 174103.9 153419.6 2.399614
> 174075.8 153778.4 2.352736
> 174047.8 154137.4 2.267724
> 174020.1 154496.3 2.219654
> 173992.3 154855.3 2.157816
>
>
>
> I have parsed that data into $x, $y, and $z but $z needs to be mapped into
> an N x N matrix for image plotting using the coordinates given in $x and
> $y. The machine walks along Y and then steps to the next X coordinate when
> it reaches the end of Y. All points in X and Y are expected to be unique. I
> need to create the matrix using zeroes(N,N) since I know how many points I
> took in X and Y, and then create a sequence that interpolates $x and $y
> into matrix index values. Then use matching to know where in the matrix the
> $z values belong. If there is something built into PDL to do that let me
> know.
>
> I hope this helps clarify the problem.
>
> Thanks,
> Jovan
>
> On Thu, Apr 18, 2024 at 1:35 PM David Mertens <dcmertens.p...@gmail.com>
> wrote:
>
> > Hello Jovan,
> >
> > Did you try this?
> > my $z = sequence(10,10)*rand(1);
> >
> > Seems to me you just need a z-value pdl that has the same dimensions as
> > the x and y coordinates.
> >
> > David
> >
> > On Thu, Apr 18, 2024, 1:11 PM Jovan Trujillo <jovan.trujil...@gmail.com>
> > wrote:
> >
> >> Hi Greg,
> >> Yes, I've been looking into a heat map or flattened 3d scatterplot. In
> >> Mathematica, I can easily import the Excel spreadsheet and plot using
> >> ListDensityPlot to give me a nice high-resolution image of the data.
> >>
> >> But my question is simply a mapping problem. If I have two piddles with
> >> $x and $y coordinates and a third representing the $data, how do I create a
> >> $matrix that maps the $data based on the coordinates from $x and $y? If I
> >> had $matrix I can simply plot image($matrix) with PDL::Graphics::Gnuplot.
> >>
> >> Thank you,
> >> Jovan
> >>
> >> On Thu, Apr 18, 2024 at 1:16 AM Grégory Vanuxem <g.vanu...@gmail.com>
> >> wrote:
> >>
> >>> Hello,
> >>>
> >>> I haven’t carefully looked at your problem with GNUPlot but I wonder if
> >>> what you are trying to achieve could not be done with surface routines,
> >>> that’s with 3d ones ? Or maybe something like heatmap like this question:
> >>>
> >>>
> >>> https://stackoverflow.com/questions/76577557/trying-to-create-heat-map-using-ggplot-similar-to-density-contour-plot-but-wh
> >>>
> >>> Just to give some hints on possible routines.
> >>>
> >>> - Greg
> >>>
> >>> Le jeu. 18 avr. 2024 à 01:53, Jovan Trujillo <jovan.trujil...@gmail.com>
> >>> a écrit :
> >>>
> >>>> Hi all,
> >>>>
> >>>> I've been wracking my brain all morning trying to figure this out, but
> >>>> how could I convert a set of 3 1D piddles containing xyz data into a
> >>>> matrix
> >>>> for plotting as an image using PDL::Graphics::Gnuplot? Say for example:
> >>>>
> >>>> use PDL;
> >>>> use PDL::Graphics::Gnuplot qw/image gplot/;
> >>>>
> >>>> my $x = flat(xvals(10,10)); # This is basically how x-coordinates are
> >>>> output from my machine.
> >>>> my $y = flat(yvals(10,10)); # Same format as x-coordinates
> >>>> my $z = sequence(100)*rand(1); # Some dummy data for this example.
> >>>>
> >>>> my $image; # How do I map $x,$y,$z into this 10x10 $image piddle?
> >>>> image($image);
> >>>>
> >>>> That's my basic problem. How do I map $x,$y,$z data into an $image
> >>>> matrix?
> >>>>
> >>>> Thank you,
> >>>> Jovan
> >>>> _______________________________________________
> >>>> pdl-general mailing list
> >>>> pdl-general@lists.sourceforge.net
> >>>> https://lists.sourceforge.net/lists/listinfo/pdl-general
> >>>>
> >>> _______________________________________________
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> >>
> >
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--
o
W. Luis Mochán, | tel:(52)(777)329-1734 /<(*)
Instituto de Ciencias Físicas, UNAM | fax:(52)(777)317-5388 `>/ /\
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