lsst.scarlet.lite.display.LinearPercentileNorm Class Reference

Inheritance diagram for lsst.scarlet.lite.display.LinearPercentileNorm:

Public Member Functions
	__init__ (self, np.ndarray img, tuple[int, int]|None percentiles=None)

Detailed Description

Create norm that is linear between lower and upper percentile of img

Parameters
----------
img:
    Image to normalize
percentiles:
    Lower and upper percentile to consider (default = ``(1,99)``).
    Pixel values below will be
    set to zero, above to saturated.

Definition at line 119 of file display.py.

Constructor & Destructor Documentation

__init__()

lsst.scarlet.lite.display.LinearPercentileNorm.__init__	(		self,
		np.ndarray	img,
		tuple[int, int] | None	percentiles = None )

Definition at line 132 of file display.py.

    def __init__(self, img: np.ndarray, percentiles: tuple[int, int] | None = None):
        if percentiles is None:
            percentiles = (1, 99)
        if len(percentiles) != 2:
            raise ValueError(f"Percentiles must have two values, got {percentiles=}")
        vmin, vmax = np.percentile(img, percentiles)
        super().__init__(minimum=vmin, maximum=vmax)
 
 

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The documentation for this class was generated from the following file:

• /j/snowflake/release/lsstsw/stack/lsst-scipipe-8.0.0/Linux64/scarlet_lite/gae0086650b+585e252eca/python/lsst/scarlet/lite/display.py