plotting - Set the same color scale across multiple ListContourPlots?

This is probably straightforward - but how would I set the same color scale across multiple ListContourPlots?

if I have values from 10 to 25 on one ListContourPlot and values from 40 to 100 on another, I would like a legend that goes from 0 to 100 for both plots so that the same colors do not appear on both ListContourPlots for different values.

Answer

You can use the same color scale in both plots together with the option ColorFunctionScaling -> False:

data1 = RandomReal[{10, 25}, {10, 10}];
data2 = RandomReal[{40, 100}, {10, 10}];
bl = BarLegend[{"Rainbow", {0, 100}}, 50];

lcp1 = ListContourPlot[data1, InterpolationOrder -> 3, ImageSize -> 300,
   ColorFunctionScaling -> False, ColorFunction -> ColorData[{"Rainbow", {0, 100}}]];
lcp2 = ListContourPlot[data2, InterpolationOrder -> 3, ImageSize -> 300,
   ColorFunctionScaling -> False, ColorFunction -> ColorData[{"Rainbow", {0, 100}}]];


Legended[Row[{lcp1, lcp2}, Spacer[5]], bl]

enter image description here

Comments

plotting - Plot 4D data with color as 4th dimension

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plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1....

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