I am trying to make a contour plot labels in Visit. The initial file format I am using is VTK. The data is on a regular spaced rectangular grid
Visit offer a contour option, however it is not possible to add any labels.
My idea is to make a contour plot, use the cut operator and create a 2D slice that looks something like this :
I know how to use the pseudo color option and overlay the contour curves, however I have no idea how to put labels on the curves. This is a standard graph type and I am assuming that this should be possible.
I tried using a label plot, but this does not solve the problem.
I was reading online that python can plot VTK data, however, I have no experience with this python library.
Related
I need to write a data visualization in Python of the type you see in the image using Bokeh
Basically what I need to do is:
(1) Plot a heat map of my data
(2) Plot the cross section along a vertical and horizontal line, plotting it in a separate window
Can you give me any suggestion abut where to start?
I try to find out a method or a tutorial to know how are plotted the contours of different confidence levels (68%, 95%, 99.7% etc ...).
Here below an example of these contours on a plot that I would like to generate:
It represents the constraints on cosmological parameters (\omega_Lambda represents dark energy and \Omega_m total matter quantity).
Once I have data sets on \Omega_Lambda and \Omega_mat, how can I produce these contours : I know what is a confidence level but I only know the standard deviation.
If I plot standard deviation for both parameters from the expected values, I get a cross symbol on it (horizontally for \Omega_m and vertically for \Omega_Lambda) : but from this cross, how to draw contours at different confidence levels?
On the figure above, these contours look like a 2D parametric curve where I have points (Omega_Lambda(t), Omega_m(t)) with t parameter but I don't think they are drawn like this.
You might want to check out Matplotlib's contour plot: the levels parameter seems to be what you need.
The plots in your example are not obtained from raw data, but from a statistical model of raw data. So you could first fit multivariate normal distributions to your data using numpy.mean and numpy.cov, then generate the multivariate normal pdf values with scipy.stats.multivariate_normal. You can also find a code snippet doing confidence ellipses here (which seems to be exactly the kind of thing you were looking for).
I am new to Gnuplot and unfortunately have to start with a (for me) nontrivial problem. I have X-Y-Z-Temperature data. So I have for every spatial coordinate a temperature value.
This comes somewhat closest
http://pgfplots.net/tikz/examples/contour-and-surface/
However, I would like to create a heat map (not contour) on the XY XZ and YZ plane to visualise the 4D data better (in the link it is just 3D).
So on each plane just a heat map using the same color code so that the temperatures can be compared.
Many thanks!
Toby
You can make '4d' plot with palette, e.g:
splot '3d.dat' u 1:2:3:4 palette pt 9
So you mean e.g. plotting a triedron T(x,y,z=0), T(x=0,y,z) and T(x,y=0,z) ? This should be possible with multiplot and rotating the view between each plot. This will be a fair amount of hacking, so the first question would be why you don't use other visualization software like paraview or mayavi ? These are more suited for this type of data, unless you need the flexibility of gnuplot either in terms of scripting, or in terms of plotting analytical functions on the same graph.
I have a problem with gnuplot. I've searched and I don't find the correct solution. I'm plotting some data arranged in three columns with the command splot, and the steps in x and y are different. The plot I get with:
set view map
splot 'data.dat' using 1:2:3 with points palette
is:
and I would like the white space to be filled, making each tile size adapt, avoiding interpolation.
Some ideas are given here Reduce distance between points in splot.
I've tryed http://gnuplot.sourceforge.net/demo/heatmaps.html too, but with image doesn't seem to work :(
I should avoid pointsize as my grid changes from time to time.
You can try
set pm3d map interpolate 1,1 corners2color c1
splot 'data.dat' using 1:($2-5e-5):3
This uses no interpolation, and the color of each polygon depends on the value of corner 'c1'. You may need to test if this is the correct one, or if you need 'c2', 'c3', or 'c4'.
Another solution to my problem, better than this one for some terminals at least, is given in the answers to my other question about maps appearance in pdfcairo terminal, where the solution comes when using plot with image insted of this splot. I tried to use that before, as I mention here, but maybe it also needed this specific data format.
I want to know how to plot the dashlines in this graph. I mean the gray dashlines which are related to the points.