two-tuple of the forward and inverse functions for the normalization. The forward function must be monotonic.
Both functions must have the signature :
def forward(values: array-like) -> array-like
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)
calls autoscale_None(A)
.
If True
values falling outside the range [vmin, vmax]
, are mapped to 0 or 1, whichever is closer, and masked values are set to 1. If False
masked 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
.
Arbitrary normalization using functions for the forward and inverse.
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