colormap: Apply colormap to array

This module provides cmap() which applies a colormap to a dataset.

silx.math.colormap.cmap(data, colors, double vmin, double vmax, str normalization='linear', nan_color=None)

Convert data to colors with provided colors look-up table.

Parameters:
  • data (numpy.ndarray) – The input data
  • colors (numpy.ndarray) – Color look-up table as a 2D array. It MUST be of type uint8 or float32
  • vmin – Data value to map to the beginning of colormap.
  • vmax – Data value to map to the end of the colormap.
  • normalization (str) –

    The normalization to apply:

    • ‘linear’ (default)
    • ‘log’
    • ‘arcsinh’
    • ‘sqrt’
  • nan_color – Color to use for NaN value. Default: A color with all channels set to 0
Returns:

Array of colors. The shape of the returned array is that of data array + the last dimension of colors. The dtype of the returned array is that of the colors array.
Return type:

numpy.ndarray