matplotlib.colors.LogNorm(vmin=None, vmax=None, clip=False)[source]¶
Bases: matplotlib.colors.Normalize
Normalize a given value to the 0-1 range on a log scale.
If vmin or vmax is not given, they are initialized from the minimum and maximum value respectively of the first input processed. That is, __call__(A) calls autoscale_None(A). If clip is True and the given value falls outside the range, the returned value will be 0 or 1, whichever is closer. Returns 0 if:
Works with scalars or arrays, including masked arrays. If clip is True, masked values are set to 1; otherwise they remain masked. Clipping silently defeats the purpose of setting the over, under, and masked colors in the colormap, so it is likely to lead to surprises; therefore the default is clip = False.
autoscale(self, A)[source]¶
Set vmin, vmax to min, max of A.
autoscale_None(self, A)[source]¶
Autoscale only None-valued vmin or vmax.
inverse(self, value)[source]¶
matplotlib.colors.LogNorm¶
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