![]() ![]() So just call the colormap function that you want to use and pass it the desired number of colors. What if you only want 16 colors? Well, all of the MATLAB colormap functions take an optional input argument specifying the number of colors to use. Prefer in this case ymin, ymax axes. Warning: if you use axes, this solution will always return ymin0, ymax1. Just use plt.ylim (), it can be used to set or get the min and max limit. The final part of ImageAnalyst's comment concerned the number of colors. The above code should produce the following output plot. This is just another convenience for setting the color limits. Then ImageAnalyst asked about the syntax for imagesc and imshow. You can also use caxis to quickly get back to automatic computation of color limits. It's one step shorter than getting the Axes using gca and then setting its CLim property. You also can change where the x -axis and y -axis lines appear (2-D plots only) or reverse the direction of increasing values along each axis. That's just a convenient way to set the color limits. Specify Axis Limits You can control where data appears in the axes by setting the x -axis, y -axis, and z -axis limits. ImageAnalyst mentioned the function caxis. Syntax: (args, kwargs) Parameters: This method accept the following parameters that are described below: bottom: This parameter is used to set the ylim to bottom. Or maybe you want to examine the upper elevations. The ylim () function in pyplot module of matplotlib library is used to get or set the y-limits of the current axes. ![]() Let's set the color limits to expand the visible details of the lower elevations. You can set the CLim yourself, though, and that changes the way the color is scaled from the data values. They were automatically computed from the range of the data being plotted. Where did those values come from, though? ax.CLim(1) is the bottom value on the color bar, and ax.Clim(2) is the top value. If you look closely at the color bar in the image plot above, you can see the correspondence between it and the CLim values. One of those properties is CLim ("color limits"), which you can access directly this way: ax.CLim If you run this code interactively, you would see a clickable "Show all properties" link. The Axes object has a large number of properties, so by default MATLAB shows you just the most commonly used ones. The function gca ("get current axes") returns the Axes object. The Axes object controls many aspects of the plot, including the axes rulers, the ticks, the tick labels, the grid lines, and much more. To investigate CLim, start with imagesc, some elevation data, and a color bar. Good question! Let's have a go at it, starting with CLim. How would one go about that, and using which functions? And you want a colorbar with 16 steps - 16 discrete colors. For example, let's say your values range from 200 to 35,000, and you want all values less than 1000 to be blue and all values more than 29000 to be red. In response to "MATLAB image display - autoscaling values with imshow," MATLAB Answerer Extraordinaire ImageAnalyst posted this comment:Ī discussion of the relationship and interplay of caxis(), CLim, and the values you can pass in inside the brackets to imshow() or imagesc() might be useful.
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