Package qubx :: Module fit :: Class LorentzianCurve

Class LorentzianCurve

object --+    
         |    
 BaseCurve --+
             |
            LorentzianCurve

Instance Methods

[hide private]

__init__(self, expr='0.0', locals={})
x.__init__(...) initializes x; see help(type(x)) for signature source code

eval(self, param_vals, xx, vvv=[])
Returns yy = f[param_vals](xx, *vvv). source code

Inherited from BaseCurve: set_vars

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__

Instance Variables

[hide private]

Inherited from BaseCurve: can_fit, can_resample, expr, hi, lo, name, param_defaults, params, pool

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

init(self, expr=`'0.0'`, locals=`{}`)
(Constructor)

source code

x.__init__(...) initializes x; see help(type(x)) for signature

Parameters:

expr - optional string to further specify curve
locals - optional dict of names available in expr

Overrides: object.__init__

(inherited documentation)

eval(self, param_vals, xx, vvv=`[]`)

source code

Returns yy = f[param_vals](xx, *vvv). For vvv, you should previously have set_vars(v_names).

Parameters:

param_vals - list of float, corresponding to self.params
xx - numpy.array of x values
vvv - variable series corresponding to set_vars; list of numpy.array

Returns:

numpy.array of y values

Overrides: BaseCurve.eval

(inherited documentation)

Class LorentzianCurve

__init__(self, expr='0.0', locals={}) (Constructor)

eval(self, param_vals, xx, vvv=[])

init(self, expr=`'0.0'`, locals=`{}`)
(Constructor)

eval(self, param_vals, xx, vvv=`[]`)