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matplotlib.colors.PowerNorm
- Examples using matplotlib.colors.PowerNorm

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Documentation overview
- The Matplotlib API
  - colors
    - Previous: matplotlib.colors.Normalize
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matplotlib.colors.PowerNorm¶

class matplotlib.colors.PowerNorm(gamma, vmin=None, vmax=None, clip=False)[source]¶

Normalize a given value to the [0, 1] interval with a power-law scaling. This will clip any negative data points to 0.

autoscale(A)[source]¶: Set vmin, vmax to min, max of A.

autoscale_None(A)[source]¶: autoscale only None-valued vmin or vmax.

inverse(value)[source]¶

Examples using `matplotlib.colors.PowerNorm`¶

../../_images/sphx_glr_power_norm_thumb.png

Exploring normalizations

../../_images/sphx_glr_mandelbrot_thumb.png

Shaded & power normalized rendering

../../_images/sphx_glr_colormap_normalizations_power_thumb.png

Colormap Normalizations Power

../../_images/sphx_glr_colormap_normalizations_thumb.png

Colormap Normalizations

../../_images/sphx_glr_colormapnorms_thumb.png

Colormap Normalization