I'm interested in a physical problem which depends on a parameter. For each value of a specified parameter, I produce a 2D-heatmap. Say now that I have 5 heatmaps. I would like to juxtapose these 5 maps in the direction of the parameter. I'm pretty dry on how to do it.
Help appreciated,
regards,
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This is what I mean by 'juxtaposition': https://lee-phillips.org/qdf/
Now keep in mind that the only thing that I know to generate are the color slices, in a 2d, as a result of an heatmap (3 coordinates, one coding the 'intensity' with a color code). I hope it helps.
Now the question is: how can I juxtapose my heatmaps as in my illustrative example?
regards
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Thanks for the clarification. You can easily do that by combining several image with splot.
Use set view to change the viewing angle. Please find below a sample script:
unset cbrange
unset colorbox
set xrange [-1:5]
set yrange [-1:5]
# view-point
set view 75, 18
set view azimuth -95
# position of xy-plane
set xyplane at 1
# set labels and tweak positions
set xlabel "{/:Italic x}" offset 1,0
set ylabel "{/:Italic y}" offset 2,1
set zlabel "parameter {/:Italic i}" offset 0,-2 #rotate by 90
set ztics 1 offset 1,-1
# sample data
$map2 << EOD
0 0 5
0 1 4
0 2 3
0 3 1
0 4 0
1 0 2
1 1 2
1 2 0
1 3 0
1 4 1
2 0 0
2 1 0
2 2 0
2 3 1
2 4 0
3 0 0
3 1 0
3 2 0
3 3 2
3 4 3
4 0 0
4 1 1
4 2 2
4 3 4
4 4 3
EOD
# "fence" plot of heat-maps:
# third coordinate is z-position (index)
# color code is in fourth column, shifted here according to plot index i
splot \
for [i=1:5] \
'$map2' using 2:1:(i):($3+i) with image not
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Bastian,
Thx a lot for your help. Thx to your inputs, I converged to something that I do like. I wanted to get this figure done since my PhD. Also, I would like to know if there is a way to 'personalize/custom' the color cbrange (coding the 'intensity') of each maps independently.
If yes, that would be a subtle and nice refinement considering the physical problem that I have at hand.
Regards,
Last edit: Jerome 2017-11-28
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Jerome, Great you succeeded - I would be eager to see the result ;).
As for the custom color ranges: I guess you could map the values to RGB yourself and then use with rgbimage with 5 columns in the using statement. Each heatmap would need its own set of three mapping functions, though.
If there would be a way to write out gnuplot's color mapping this could be turned into a two step process, where we first map the data and then plot the results. But I don't know if that can be done.
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Please see the result. If you have any advices to improve the presentation I'm all hears. I'm still not very happy with the labels epsilon and e (too far from the axis in my opinion).
What you see if a transition order/chaos (chaos is color coded in yellow) in the context of terrestrial dynamics (eccentricity, inclination) as a function of a pertubative parameter epsilon. Some simulations are still runing, the final plot might incorporate one to three more maps. It's very didactic to present the results in that way in my opinion.
Nota: I don't want to add any ztics for epsilon, to keep the figure minimalist and 'clean'. That's why I added an arrow to give only the direction of the variation (for the range of variation, it will be written in the paper).
I have a new question for you (and/or the community), I will create a dedicated topic.
regards,
Dear community,
I'm interested in a physical problem which depends on a parameter. For each value of a specified parameter, I produce a 2D-heatmap. Say now that I have 5 heatmaps. I would like to juxtapose these 5 maps in the direction of the parameter. I'm pretty dry on how to do it.
Help appreciated,
regards,
You should have a look at multiplot:
http://gnuplot.sourceforge.net/demo_5.2/layout.html
Well, it's not was I was looking for. I want to 'combine' the heat-maps in a '3D box' by juxtaposition, not just to plot several times a 2D map.
regards
Ok. I was just guessing what you want from the "google definition" :
To help you we probably need an example image to understand what you are aiming at.
This is what I mean by 'juxtaposition': https://lee-phillips.org/qdf/
Now keep in mind that the only thing that I know to generate are the color slices, in a 2d, as a result of an heatmap (3 coordinates, one coding the 'intensity' with a color code). I hope it helps.
Now the question is: how can I juxtapose my heatmaps as in my illustrative example?
regards
Thanks for the clarification. You can easily do that by combining several
image
withsplot
.Use
set view
to change the viewing angle. Please find below a sample script:Last edit: Jerome 2017-11-28
Bastian,
Thx a lot for your help. Thx to your inputs, I converged to something that I do like. I wanted to get this figure done since my PhD. Also, I would like to know if there is a way to 'personalize/custom' the color cbrange (coding the 'intensity') of each maps independently.
If yes, that would be a subtle and nice refinement considering the physical problem that I have at hand.
Regards,
Last edit: Jerome 2017-11-28
Jerome, Great you succeeded - I would be eager to see the result ;).
As for the custom color ranges: I guess you could map the values to RGB yourself and then use
with rgbimage
with 5 columns in theusing
statement. Each heatmap would need its own set of three mapping functions, though.If there would be a way to write out gnuplot's color mapping this could be turned into a two step process, where we first map the data and then plot the results. But I don't know if that can be done.
Please see the result. If you have any advices to improve the presentation I'm all hears. I'm still not very happy with the labels epsilon and e (too far from the axis in my opinion).
What you see if a transition order/chaos (chaos is color coded in yellow) in the context of terrestrial dynamics (eccentricity, inclination) as a function of a pertubative parameter epsilon. Some simulations are still runing, the final plot might incorporate one to three more maps. It's very didactic to present the results in that way in my opinion.
Nota: I don't want to add any ztics for epsilon, to keep the figure minimalist and 'clean'. That's why I added an arrow to give only the direction of the variation (for the range of variation, it will be written in the paper).
I have a new question for you (and/or the community), I will create a dedicated topic.
regards,