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

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

def	__call__ (self, value, clip=None)

Public Attributes
	mapping

Detailed Description

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

Definition at line 841 of file matplotlib.py.

Constructor & Destructor Documentation

◆ init()

def 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

Definition at line 843 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 Function Documentation

◆ call()

def lsst.display.matplotlib.matplotlib.Normalize.__call__	(	self,
		value,
		clip = `None`
	)

inherited

Return a MaskedArray with value mapped to [0, 255]

@param value Input pixel value or array to be mapped

Definition at line 791 of file matplotlib.py.

     def __call__(self, value, clip=None):
         """
         Return a MaskedArray with value mapped to [0, 255]
  
         @param value Input pixel value or array to be mapped
         """
         if isinstance(value, np.ndarray):
             data = value
         else:
             data = value.data
  
         data = data - self.mapping.minimum[0]
         return ma.array(data*self.mapping.mapIntensityToUint8(data)/255.0)
  
  

Member Data Documentation

◆ mapping

lsst.display.matplotlib.matplotlib.AsinhZScaleNormalize.mapping

Definition at line 854 of file matplotlib.py.

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

/j/snowflake/release/lsstsw/stack/lsst-scipipe-0.7.0/Linux64/display_matplotlib/22.0.0+6312710a6c/python/lsst/display/matplotlib/matplotlib.py

Public Member Functions

Public Attributes