I am struggling with how to plot a cube with each face shaded as a 2D heatmap.
See the following image for what I am trying to do:
I couldn't figure out how to do it with meshgrid since I don't have any data for the inside of the cube just the surfaces. To make a contour plot for one of the surfaces I use two axes to make the meshgrid and then calculate the z data but that is just one face. So I have to do that process individually for each face.
I thought I could manually add patches and rotate them to position colored with their value but that didn't seem like the best way. I was wondering if I was missing something easier.
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I'm currently trying to recreate this: video, and I could not find how to recreate the 3D visualization step, where coordinate axis are translated and rotated around, in matplotlib. Does anyone know how to do in matplotlib's animation, updating the results in real time?
In GNUPlot it is possible to plot a function on a surface (see, for example, this question). Similar thing can be done in Mathematica (see this question).
Is it possible to do the same thing in Matplotlib? Alternatively, is it possible to map the colourmap by the function that one intends to plot on the surface?
A good example of this is plotting an ellipsoid, and visualising the Gauss curvature at each point on it with the colourmap.
I don't know any way to describe this plot, but I need to do it preferably with matplotlib. If there is a name for this plot, I would love to know it.
It can be found on page 10 of this PLOS ONE paper (Figure 6): http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0093590
Basically, each section is made up of three plots. One scatter plot, and two histograms that show the density of points in each region, one for each axis.
Any help would be great. Thanks.
I want to create a contour plot with matlibplot and generate a shapefile from it so that I can use it in QGIS to display it.
Though it is possible to plot a map with matplotlib and then overlay with my contour plot, the choices of map sources are limited. It would be easier to export the contour plot in a shapefile and loaded in QGIS with a customized map.
Thanks!
There is a contour plugin available in QGIS, and it is based on the contouring functions of matplotlib. It's still a little bit buggy but hopefully that will be corrected in the future.
I have a Core-Plot Graph within a Mac Application. But the inside table is appearing shifted down and to the left of the containing "frame/border" so that neither of the axis' are showing. I cannot figure out how to change this does anyone know what parameters I need to change to fix this?
Update: Sorry I did not realize I could upload an image, I have done so know and will try your suggestions in the mean-time.
Not sure what you mean by "inside table". It would be easier to offer suggestions if you could post a screenshot.
Without seeing what's wrong, here are some common areas to look at:
If you haven't already done so, look at the example apps included with Core Plot for ideas. The Plot Gallery app has many sample plots and the others are useful, too.
You may need to add padding (paddingLeft, paddingBottom, etc.) on the graph and/or plot area frame. Padding the graph pushes everything in away from the edges of the graph. Padding the plot area frame pushes the plot area in so the axes and titles can hang outside the plot area (the area where the plots are drawn).
If you want to keep an axes pinned to a specific place, e.g., the edge of the graph, set up a floating axis. Otherwise make sure the orthogonal coordinate is set (it defaults to 0). For example, the orthogonal coordinate for the x-axis is the y-value where the x-axis crosses the y-axis.