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get_color_index

Chooses a color index for a scalar value, given a color map and a range of values.

Available in version 6.2.0 and later.

Prototype

	function get_color_index (
		color_map  ,           
		levels [*] : numeric,  
		values     : numeric   
	)

	return_val  :  integer

Arguments

color_map

An NCL predefined color map (like "rainbow", "BlueRed", "matlab_jet"), an RGB array, or an RGBA array.

levels

An array of monotonically increasing numeric values of which to compare the input values values to.

values

An array of values that you want to calculate the appropriate color index for, based on the given levels.

In NCL V6.4.0 and earlier, this value can only be a scalar. This function was enhanced in NCL V6.5.0 to allow the 3rd argument to be an array of values.

Return value

A scalar index or an array of integer indexes into the given color map.

Description

This function uses the same spanning algorithm that NCL uses to choose colors for a filled contour or vector plot, given a particular color map and an array of levels. It uses the number of levels you have to create a "nice" span across the color map such that it starts at the very first color and ends at the very last color, using close to equal spacing. It determines which range each given value falls in, and calculates the appropriate color index to return.

Here's what the return color indexes mean, given n values in levels:

color index 0 : value < levels(0)
color index 1 : levels(0) ≤ value < levels(1)
color index 2 : levels(1) ≤ value < levels(2)
. 
. 
.
color index n-1 : levels(n-2) ≤ value < levels(n-1)
color index n : levels(n-1) > value

The color index values returned will start at 2 or 0, depending on whether you give it a predefined color map or an array of RGB/RGBA values. If you give it a predefined color map, then the first two indexes, 0 and 1, are not considered, and the index values will start at 2. If you give it an RGB/RGBA array, then it assumes you want to start at the first index (index 0).

The color index values will always end at clen-1, where clen is the number of colors in the given color map.

If you want to get the full array of color index values based on a set of levels, use span_color_indexes.

If you want the RGB or RGBA values returned rather than the color index values, use get_color_rgba.

See Also

span_color_indexes, span_color_rgba, get_color_rgba, read_colormap_file, span_named_colors

Examples

Example 1a

Get the appropriate color index out of the StepSeq25 color map for various scalar values, when given a range of levels from 1 to 10. "StepSeq25" has 27 colors. Note that colors 0 and 1 will not be included:

   levels = ispan(1,10,1)
   icol = get_color_index("StepSeq25",levels,0.5)
   print("color index = " + icol)

   icol = get_color_index("StepSeq25",levels,1.0)
   print("color index = " + icol)

   icol = get_color_index("StepSeq25",levels,9.9)
   print("color index = " + icol)

   icol = get_color_index("StepSeq25",levels,10)
   print("color index = " + icol)

   icol = get_color_index("StepSeq25",levels,10.1)
   print("color index = " + icol)

The first scalar value was less than the first level, so that index was equal to 2.

  (0)  color index = 2
  (0)  color index = 4
  (0)  color index = 24
  (0)  color index = 26
  (0)  color index = 26

Example 1b

This example uses the same input as the previous example, except the third argument is now an array of values, thus requiring only one call to the function.

This example will only work with NCL V6.5.0 or later.

   levels = ispan(1,10,1)
   icols  = get_color_index("StepSeq25",levels,(/0.5,1.0,9.9,10,10.1/))
   print("color index = " + icols)

  (0)  color index = 2
  (1)  color index = 4
  (2)  color index = 24
  (3)  color index = 26
  (4)  color index = 26

Example 2a

Get the appropriate color index out of the StepSeq25 color map for various scalar values, when given a range of levels from 1 to 10. This example shows how to get the same results from both get_color_rgba and get_color_index.

   cmap_name = "StepSeq25"
   levels    = ispan(1,10,1)
   cmap      = read_colormap_file(cmap_name)
   rcol1     = get_color_rgba(cmap_name,levels,0.0)
   icol1     = get_color_index(cmap_name,levels,0.0)
   rcol2     = get_color_rgba(cmap_name,levels,10.1)
   icol2     = get_color_index(cmap_name,levels,10.1)
;
; Note "icol1-2" instead of "icol1". This is because using get_color_index
; on a predefined color map ignores indexes 0 and 1. But, read_colormap_file
; simply doesn't include color indexes 0 and 1 when it reads the colormap,
; which means color index 0 is really the third color in the predefined
; colormap.
;
   print("rcol1 = " + rcol1 + "/" + cmap(icol1-2,:))
   print("rcol2 = " + rcol2 + "/" + cmap(icol2-2,:))

Output:

  (0) rcol1 = 0.6/0.6
  (1) rcol1 = 0.0588235/0.0588235
  (2) rcol1 = 0.0588235/0.0588235
  (3) rcol1 = 1/1
  (0) rcol2 = 0.74902/0.74902
  (1) rcol2 = 0.698039/0.698039
  (2) rcol2 = 1/1
  (3) rcol2 = 1/1
Example 2b

This example uses the same input as the previous example, except the third argument is now an array of values, thus requiring only one call to the function.

This example will only work with NCL V6.5.0 or later.

   cmap_name = "StepSeq25"
   levels    = ispan(1,10,1)
   cmap      = read_colormap_file(cmap_name)
   rcols     = get_color_rgba(cmap_name,levels,(/0.0,10.1/))
   icols     = get_color_index(cmap_name,levels,(/0.0,10.1/))

   print("rcols = " + rcols + "/" + cmap(icols-2,:))

Output:

(0,0)   rcols = 0.6/0.6
(0,1)   rcols = 0.0588235/0.0588235
(0,2)   rcols = 0.0588235/0.0588235
(0,3)   rcols = 1/1
(1,0)   rcols = 0.74902/0.74902
(1,1)   rcols = 0.698039/0.698039
(1,2)   rcols = 1/1
(1,3)   rcols = 1/1