- craftutils.observation.image.ImageNormalize(data=None, interval=None, vmin=None, vmax=None, stretch=<astropy.visualization.stretch.LinearStretch object>, clip=False, invalid=-1.0)
Parameters¶
- vmin, vmaxfloat or None
If vmin and/or vmax is not given, they are initialized from the minimum and maximum value, respectively, of the first input processed; i.e.,
__call__(A)callsautoscale_None(A).- clipbool, default: False
If
Truevalues falling outside the range[vmin, vmax], are mapped to 0 or 1, whichever is closer, and masked values are set to 1. IfFalsemasked values remain masked.Clipping silently defeats the purpose of setting the over, under, and masked colors in a colormap, so it is likely to lead to surprises; therefore the default is
clip=False.
Notes¶
Returns 0 if
vmin == vmax.