matplotlib.colors.LogNorm
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class matplotlib.colors.LogNorm(vmin=None, vmax=None, clip=False)
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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
vmin==vmax
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.
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autoscale(self, A)
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Set vmin, vmax to min, max of A.
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autoscale_None(self, A)
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Autoscale only None-valued vmin or vmax.
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inverse(self, value)
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Examples using matplotlib.colors.LogNorm
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Licensed under the Matplotlib License Agreement.
https://matplotlib.org/3.2.2/api/_as_gen/matplotlib.colors.LogNorm.html