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# matplotlib.colors.LogNorm

class `matplotlib.colors.``LogNorm`(vmin=None, vmax=None, clip=False)

  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.

## Examples using `matplotlib.colors.LogNorm`

Pcolor Demo

Histograms

Colormap Normalizations

Colormap Normalizations Lognorm

Colormap Normalization