lsst.display.matplotlib.matplotlib.AsinhZScaleNormalize Class Reference

Inheritance diagram for lsst.display.matplotlib.matplotlib.AsinhZScaleNormalize:

Public Member Functions
	__init__ (self, image=None, Q=8)

Public Attributes
	mapping

Detailed Description

Provide an asinh stretch using zscale to set limits for mtv()

Definition at line 813 of file matplotlib.py.

Constructor & Destructor Documentation

__init__()

lsst.display.matplotlib.matplotlib.AsinhZScaleNormalize.__init__	(		self,
			image = None,
			Q = 8 )

Initialise an object able to carry out an asinh mapping

@param image  image to use estimate minimum and dataRange using zscale
              (see AsinhNormalize)
@param Q Softening parameter (default: 8)

See Lupton et al., PASP 116, 133

Reimplemented from lsst.display.matplotlib.matplotlib.AsinhNormalize.

Definition at line 815 of file matplotlib.py.

    def __init__(self, image=None, Q=8):
        """Initialise an object able to carry out an asinh mapping
 
        @param image  image to use estimate minimum and dataRange using zscale
                      (see AsinhNormalize)
        @param Q Softening parameter (default: 8)
 
        See Lupton et al., PASP 116, 133
        """
 
        # The object used to perform the desired mapping
        self.mapping = afwRgb.AsinhZScaleMapping(image, Q)
 
        vmin, vmax = self._getMinMaxQ()[0:2]
        # n.b. super() would call AsinhNormalize,
        # and I want to pass min/max to the baseclass
        Normalize.__init__(self, vmin, vmax)
 
 

Member Data Documentation

mapping

lsst.display.matplotlib.matplotlib.AsinhZScaleNormalize.mapping

Definition at line 826 of file matplotlib.py.

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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/display_matplotlib/g0265f82a02+469cd937ee/python/lsst/display/matplotlib/matplotlib.py