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ImageAssistant = class ImageAssistant(builtins.object) |
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ImageAssistant(order='C')
ImageAssistant contains 2 methods to assist with more dimensional
fitting.
1. getIndices Generates indices for data arrays of any dimension.
To be used as input in the Fitter classes.
2. resizeData Resizes the data arrays into a 1-dimensional array.
To be used as data in the Fitter.
Example
-------
>>> ymap = numpy.arange( 6, dtype=float ).reshape( 2, 3 )
>>> ias = ImageAssistant()
>>> ky = ias.getIndices( ymap )
>>> print( ky.shape )
(6,2)
>>> print( ky[4,0], ky[4,1], ymap[ ky[4,
0], ky[4,1] ] )
1 0 4
>>> ias = ImageAssistant( order='F')
>>> ky = ias.getIndices( ymap )
>>> print( ky.shape )
(6,2)
>>> print( ky[4,0], ky[4,1], ymap[ ky[4,
1], ky[4,0] ] )
0 1 4
## Suppose y is a 2-dimensional map of something
>>> aass = ImageAssistant( )
>>> input = aass.getIndices( y )
>>> fitter = Fitter( input, some2dModel )
>>> pars = fitter.fit( aass.resizeData( y ) )
>>> yfit = some2dModel.result( input ) # Double1d
>>> yfit2d = aass.resizeData( yfit, shape=y.shape ) # Double2d
Author Do Kester
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Constructor:
- ImageAssistant( order='C')
- Helper class to construct from an image, the input arrays
needed for the Fitters.
Parameters
----------
order : 'C' or 'F'
set index view according to character
'C' orders from slow to fast
'F' orders from fast to slow
Methods defined here:
- getIndices( ya, order='C')
- Generates indices for data arrays of any dimension.
To be used as input in the Fitter classes.
Parameters
----------
ya : map
array of y ( data ) values for which an indexed array
order : 'C' or 'F'
set index view according to character
Returns
-------
numpy.array of ints : the indices of the pixels
- getPositions( ymap, order='C', center=True, deproject=None )
- Return the (x,y) positions of the pixels in the map.
Parameters
----------
ya : map
array of y ( data ) values for which an indexed array
order : 'C' or 'F'
set index view according to character
center : bool
if True, return the positions of the center of the pixels.
otherwise the (left,lower) corner
deproject : callable
Deprojection method: from projected map to sky position,
returning (x,y,...) position given the map indices (ix,iy,...)
Default: returning the indices as floats (+0.5 if center)
Returns
-------
numpy.array of floats : the positions of the pixels
- getydata( ya )
- Return a copy of ya as a 1 dim array.
Parameters
----------
ya : array_like
map to be reshaped
- resizeData( res, shape=None )
- Reshape the data (res) into the same shape as the map (ya)
Parameters
----------
res : array_like
result of the fit as a 1-dim array
shape : tuple of int
dimensional lengths of the reconstructable map
default remembered from a call to getIndices
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