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
gplo
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); # S
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
wrote:
> Hi Greg,
> Yes, I've been looking into a heat map or flattened 3d scatte
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
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-u
