now call warp() passing in your grid of x coordinates, then your grid of y coordinates, then your grid of z coordinates, and then your RGB image.The result is an RGB image the same size as your data. How can I display all the information in one graph Here is my code. I use the fit function to get a cubic fitting on my data. At the moment, I use the errorbar function to plot the mean and standard deviation. Take the colormap, cmap, and index it cmap(Indices,:) and reshape() that to have size(values,1) rows, size(values,2) columns, and 3 colorplanes. I am trying to plot the mean, standard deviation and a cubic fitting on the same graph.These values will be used as colormap indices. Add labels scatterplot(wt mpg, data mtcars. This has the effect of mapping the normalized 0 to 1 (first index in the color map) and the normalized 1 to the last index in the color map. col: Arguments for labeling points specifying the number, the size and the color of points to be labelled. Now multiply the result by N, the number of colors in the color map, and take floor() of that, and add 1 to the result. Multiply the normalized data values by (1-eps).This will cause any values below the minimum you wanted mapped to be represented by the minimum, and any values above the maximum you wanted mapped to be represented by the maximum. This normalizes the values to the nominal range 0 to 1. ![]() Divide the result by the difference between the maximum and minimum value that you want to map. ![]() Subtract the minimum data value you want to map. ![]()
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