Alternately, right-click on an empty portion of the graph layer and check the Display Caching setting, changing the selection to None, as needed.If necessary, set Graphic Image Caching to None and click Apply. This opens the Plot Details dialog for this layer. Right-click on the layer icon and select Layer Properties from the short-cut menu. Hello, I have a contour plot with several layers define as follows: c,hcontourf (X,Y,Z, value1 value2 value3 value4) I would like to make a selected contour transparent, let's say the first contour defined by value1.To access the graph layer's Graphic Image Caching setting: If not, the transparent effect cannot work properly.
![contourf transparency matlab 2017 contourf transparency matlab 2017](https://pbs.twimg.com/media/DAlB2skXgAEiQp_.png)
In this case, please check whether the Graphic Image Caching setting of the graph layer has been set to None.
![contourf transparency matlab 2017 contourf transparency matlab 2017](https://undocumentedmatlab.com/images/contour_labels_2b.png)
However, sometimes you do not see the effect on your graph. By doing this, you can see through the region that corresponds to that level. plt.contourf(X, Y, f(X, Y), 8, alpha. You can set a level’s color fill to None in your contour plot to make it display as transparent. Therefore, the majority of plotting commands in pyplot have Matlab analogs with similar arguments. Some graphics objects support using a different transparency value for the faces versus the edges of the object. Restores the original indexed color data, allowing the colormap and caxis to again affect the plots.ĭemo & Documentation in freezeColors_pub.html, test in test/test_main.m.1.17 FAQ-129 Why does transparent color setting fail to work in my contour plot? You can control the transparency of an object using the alpha function or by setting properties of the object related to transparency. But, contiguous NaN regions inside the data matrix are white instead of transparent. I'd like these NaNs to be transparent, and they are for NaNs on the boundary of the rectangle. UnfreezeColors Reverses the effects of freezeColors. I'm trying to make a contourf plot but certain areas of the data array have NaNs (only in the data matrix, the x and y meshgrid matrices are full). Converts colors of many graphics objects (images, surfaces, scattergroups, bar plots, patches, etc-anything using indexed CData) to truecolor. Please use his fine code.įreezeColors Freeze colors of plots, making them immune to later changes in the colormap. Since Carlos has made a nice solution, I have chosen not to duplicate his efforts. H=colorbar cbfreeze(h), or simply cbfreeze(colorbar)
#CONTOURF TRANSPARENCY MATLAB 2017 PATCH#
Otherwise you could set the FaceAlpha to zero for the patch to be transparent. ** Carlos Adrian Vargas Aguilera, located in the fileexchange mcontourf, which is really just a call to contourf, doesnt work correctly sometimes, because the Octave contourf does not handle NaNs properly, and NaNs can appear if data fields extend beyond the map boundaries and must be clipped. patchesToHide patchValues valueToHide set (allH (patchesToHide),'FaceColor','k','FaceAlpha',0.8) Note that you could set the FaceColor to white if that is what you mean by transparent. ** Suggested solution: Use the function CBFREEZE, by ** whenever you call COLORMAP, which undoes the effects of freezeColors. ** Note: in recent versions of MATLAB the colorbar is reinitialized
![contourf transparency matlab 2017 contourf transparency matlab 2017](https://www.mathworks.com/matlabcentral/mlc-downloads/downloads/026515b9-7908-4bf8-90c3-55770ee94887/807ea29b-a8a0-4166-b7a4-a4c2a7fdfe62/images/screenshot.jpg)
![contourf transparency matlab 2017 contourf transparency matlab 2017](https://www.mathworks.com/help/examples/graphics/win64/SurfaceAndContourPlotOfPeaksFunctionExample_01.png)
Solution: This function pair provides an easy way to have plots using different colomaps in the same figure.įreezeColors %freeze this plot's colormapĬolormap hsv % won't change any frozen plots! Problem: There is only one colormap per figure, so all plots share the same colormap. (*What's NEW: 9/2010, A colorbar solution) Now for some more challenging questions: Customizing the color. Update: 2017: As of Matlab 2014b, this may no longer be needed as MATLAB now allows multiple colormaps per figure-please see my comment. Readers who are interested in Matlab internals can explore the bean adapters using a combination of my getundoc and uiinspect utilities.