#COLOR PALETTE FROM IMAGE 1.5 CODE#

Let us imagine that we have a satellite image with black and white colors palette. This parameter permit define the range of color palette to then split it, selecting the colors region of palette that you want to use. If you want to have more control over the custom color palette, you can get it using EditPalette parameter. mypalette, colorslabels = ccpl.creates_palette(,, , plt.cm.ocean_r],, Increase=)įig = plt.figure('example05', figsize=(6,4), dpi=100)

The spacing of the Lime and Hot Pink colors were also defined (Lime equal to 1 and Hotpink equal to 5), however, even so, they show the same behavior because they are colors do not change their tone, for which spacing no have effect over they. In this example the spacing of the first colors palette is equal to 1, meanwhile the spacing of the last colors palette is equal to 5 (pay attention to colors bar). The nexts lines show an example where add Increase= in creates_palette with purpose of set the colors of each palette. This parameter is optional and its default value is 1.0. In the case you want to change the spacing between the colors, you can do it using Increase parameter. mypalette, colorslabels = ccpl.creates_palette(,, , plt.cm.ocean_r], )įig = plt.figure('example04', figsize=(6,4), dpi=100)

In addition to that, if you want your palette to have colors that do not change its tone, you can do it by adding sublists with the name of the color you want, as shown below. mypalette, colorslabels = ccpl.creates_palette(, plt.cm.ocean_r], )įig = plt.figure('example03', figsize=(6,4), dpi=100) On the other hand, if you want to merge your custom color palette with the Matplotlib's color palette, you can do it as follows. Norm = colors.BoundaryNorm(colorslabels, ncolors=mypalette.N)įig = plt.figure('example02', figsize=(6,4), dpi=100) mypalette, colorslabels = ccpl.creates_palette(, ) You can also use the matplotlib's colors palette defined here and custom it. Img = plt.imshow(SatImg, cmap=mypalette, norm=norm)Ĭbar = plt.colorbar(img, spacing='proportional', ticks=tickslabels) Do not forget you add spacing='proportional' to the colorbar. Then create an array with the custom tickslabels and show de image. norm = colors.BoundaryNorm(colorslabels, ncolors=mypalette.N) Use the outputs to set the norm parameter. mypalette, colorslabels = ccpl.creates_palette(], )

#COLOR PALETTE FROM IMAGE 1.5 CODE#

You can use the matplotlib's colors names defined here or you can create your custom color palette using the Hex color code or the RGB color code, as seen in the following example. The first parameter is a list containing a sub-list with colors names and the second parameter is a list with the range of palette values. Then, we called the creates_palette module from package alias ( ccpl) and pass it two parameters.

Take a look at the following examples.įirst, let us import the packages and read the satellite image. Let us suppose you have this satellite image of brightnes temperature (in Kelvin) and you want view it with a custom color palette.Īn easy way to do this is by using the custom_color_palette package. Python script to create a custom colors palette.

Color palette from image 1.5