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# This file was automatically generated by SWIG (http://www.swig.org). # Version 2.0.4 # # Do not make changes to this file unless you know what you are doing--modify # the SWIG interface file instead.
from sys import version_info if version_info >= (2,6,0): def swig_import_helper(): from os.path import dirname import imp fp = None try: fp, pathname, description = imp.find_module('_fitter', [dirname(__file__)]) except ImportError: import _fitter return _fitter if fp is not None: try: _mod = imp.load_module('_fitter', fp, pathname, description) finally: fp.close() return _mod _fitter = swig_import_helper() del swig_import_helper else: import _fitter del version_info try: _swig_property = property except NameError: pass # Python < 2.2 doesn't have 'property'. def _swig_setattr_nondynamic(self,class_type,name,value,static=1): if (name == "thisown"): return self.this.own(value) if (name == "this"): if type(value).__name__ == 'SwigPyObject': self.__dict__[name] = value return method = class_type.__swig_setmethods__.get(name,None) if method: return method(self,value) if (not static): self.__dict__[name] = value else: raise AttributeError("You cannot add attributes to %s" % self)
def _swig_setattr(self,class_type,name,value): return _swig_setattr_nondynamic(self,class_type,name,value,0)
def _swig_getattr(self,class_type,name): if (name == "thisown"): return self.this.own() method = class_type.__swig_getmethods__.get(name,None) if method: return method(self) raise AttributeError(name)
def _swig_repr(self): try: strthis = "proxy of " + self.this.__repr__() except: strthis = "" return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,)
try: _object = object _newclass = 1 except AttributeError: class _object : pass _newclass = 0
class fitter(_object): """Proxy of C++ casac::fitter class""" __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, fitter, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, fitter, name) __repr__ = _swig_repr def __init__(self): """__init__(self) -> fitter""" this = _fitter.new_fitter() try: self.this.append(this) except: self.this = this __swig_destroy__ = _fitter.delete_fitter __del__ = lambda self : None; def gauss1d(self, *args, **kwargs): """ gauss1d(self, y = std::vector< double >(), x = std::vector< double >(), mask = std::vector< bool >(), pampest = initialize_variant(""), pcenterest = initialize_variant(""), pfwhmest = initialize_variant("")) -> record
Summary Fit any number of one dimensional Gaussians.
Description
Input Parameters: y The array of y values. x The array of x values. If specified, must have the same length as y. If not specified, integral values from 0 to len(y)-1 are generated. mask Mask array. Values are masked where this array is False. If specified, must have the same length as y. If not specified, all values are assumed True (no mask).. pampest Initial estimate PCF profile amplitudes. pcenterest Initial estimate PCF profile centers. pfwhmest Initial estimate PCF profile FWHMs.
Example:
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""" return _fitter.fitter_gauss1d(self, *args, **kwargs)
def logtranspoly(self, *args, **kwargs): """ logtranspoly(self, y = std::vector< double >(), x = std::vector< double >(), mask = std::vector< bool >(), estimates = std::vector< double >()) -> record
Summary A logarithmic transformed polynomial, ln(y) = c_0 + c_1*ln(x) + c_2*ln(x)**2 + ... + c_n*ln(x)**(n)
Description
Input Parameters: y The array of y values, which will be converted to ln(y) before fitting. x The array of x values. If specified, must have the same length as y. If not specified, integral values from 0 to len(y)-1 are generated. mask Mask array. Values are masked where this array is False. If specified, must have the same length as y. If not specified, all values are assumed True (no mask).. estimates Initial estimate of parameters.
Example:
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""" return _fitter.fitter_logtranspoly(self, *args, **kwargs)
def poly(self, *args, **kwargs): """ poly(self, y = std::vector< double >(), x = std::vector< double >(), mask = std::vector< bool >(), estimates = std::vector< double >()) -> record
Summary A polynomial, c_0 + c_1*x + c_2*x**2 + ... + c_n*x**n
Description
Input Parameters: y The array of y values. x The array of x values. If specified, must have the same length as y. If not specified, integral values from 0 to len(y)-1 are generated. mask Mask array. Values are masked where this array is False. If specified, must have the same length as y. If not specified, all values are assumed True (no mask).. estimates Initial estimate of parameters.
Example:
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""" return _fitter.fitter_poly(self, *args, **kwargs)
def powerlogpoly(self, *args, **kwargs): """ powerlogpoly(self, y = std::vector< double >(), x = std::vector< double >(), mask = std::vector< bool >(), estimates = std::vector< double >()) -> record
Summary A power logarithmic polynomial, c_0*x**(c_1 + c_2*ln(x) + c_3*ln(x)**2 + ... + c_n*ln(x)**(n-1)
Description
Input Parameters: y The array of y values. x The array of x values. If specified, must have the same length as y. If not specified, integral values from 0 to len(y)-1 are generated. mask Mask array. Values are masked where this array is False. If specified, must have the same length as y. If not specified, all values are assumed True (no mask).. estimates Initial estimate of parameters.
Example:
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""" return _fitter.fitter_powerlogpoly(self, *args, **kwargs)
fitter_swigregister = _fitter.fitter_swigregister fitter_swigregister(fitter)
# This file is compatible with both classic and new-style classes.
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