pugh_torch.mappings package¶

Submodules¶

pugh_torch.mappings.color module¶

pugh_torch.mappings.color.get_palette(name)[source]¶

pugh_torch.mappings.color.turbo(x, min=None, max=None, alpha=False)[source]¶

Apply the colormap “turbo” to input data x :Parameters: * x (numpy.ndarray) – Array of any shape

min (float) – Lowest point in the colormap range. Values below this will be clipped. Defaults to x.min()

max (float) – Highest point in the colormap range. Values above this will be clipped. Defaults to x.max()

alpha (bool) – Return RGBA instead of RGB. Defaults to False.

Returns: Float output in range [0,1] with same shape as input, with an additional RGB dimension.
Return type: numpy.ndarray

Module contents¶