source: sasview/park_integration/Fitting.py @ b24bf4e

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload
Last change on this file since b24bf4e was 0e51519, checked in by Gervaise Alina <gervyh@…>, 16 years ago

set range for data

  • Property mode set to 100644
File size: 2.8 KB
Line 
1"""
2    @organization: Class Fit contains ScipyFit and ParkFit methods declaration
3    allows to create instance of type ScipyFit or ParkFit to perform either
4    a park fit or a scipy fit.
5"""
6from sans.guitools.plottables import Data1D
7from Loader import Load
8from scipy import optimize
9from ScipyFitting import ScipyFit
10from ParkFitting import ParkFit
11
12
13class Fit:
14    """
15        Wrap class that allows to select the fitting type.this class
16        can be used as follow :
17       
18        from sans.fit.Fitting import Fit
19        fitter= Fit()
20        fitter.fit_engine('scipy') or fitter.fit_engine('park')
21        engine = fitter.returnEngine()
22        engine.set_data(data,Uid)
23        engine.set_param( model,model.name, pars)
24        engine.set_model(model,Uid)
25       
26        chisqr1, out1, cov1=engine.fit(pars,qmin,qmax)
27    """ 
28    def __init__(self, engine='scipy'):
29        """
30            self._engine will contain an instance of ScipyFit or ParkFit
31        """
32        self._engine=None
33        self.set_engine(engine)
34         
35    def set_engine(self,word):
36        """
37            Select the type of Fit
38            @param word: the keyword to select the fit type
39            @raise: if the user does not enter 'scipy' or 'park',
40             a valueError is rase
41        """
42        if word=="scipy":
43            self._engine=ScipyFit()
44        elif word=="park":
45            self._engine=ParkFit()
46        else:
47            raise ValueError, "enter the keyword scipy or park"
48       
49    def returnEngine(self):
50        """ @return self._engine""" 
51        return self._engine
52   
53    def fit(self, qmin=None, qmax=None):
54        """Perform the fit """
55        return self._engine.fit(qmin,qmax)
56   
57    def set_model(self,model,Uid,pars=[]):
58         self._engine.set_model(model,Uid,pars)
59   
60    def set_data(self,data,Uid,qmin=None, qmax=None,ymin=None, ymax=None):
61        self._engine.set_data(data,Uid,qmin,qmax,ymin,ymax)
62       
63    def get_model(self,Uid):
64        """ return list of data"""
65        self._engine.get_model(Uid)
66
67    def remove_Fit_Problem(self,Uid):
68        """remove   fitarrange in Uid"""
69        self._engine.remove_Fit_Problem(Uid)
70       
71    def select_problem_for_fit(self,Uid,value):
72        """
73            select a couple of model and data at the Uid position in dictionary
74            and set in self.selected value to value
75            @param value: the value to allow fitting. can only have the value one or zero
76        """
77        self._engine.select_problem_for_fit(Uid,value)
78       
79    def get_problem_to_fit(self,Uid):
80        """
81            return the self.selected value of the fit problem of Uid
82           @param Uid: the Uid of the problem
83        """
84        return self._engine.get_problem_to_fit(Uid)
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