[d89f09b] | 1 | import os,os.path, re |
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| 2 | import sys, wx, logging |
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[0550752] | 3 | import string, numpy, math |
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[d89f09b] | 4 | |
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[3b19ac9] | 5 | from copy import deepcopy |
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[dc317d1] | 6 | from danse.common.plottools.plottables import Data1D, Theory1D,Data2D |
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[6f73a08] | 7 | from danse.common.plottools.PlotPanel import PlotPanel |
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[d89f09b] | 8 | from sans.guicomm.events import NewPlotEvent, StatusEvent |
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[6f73a08] | 9 | from sans.fit.AbstractFitEngine import Model,Data,FitData1D,FitData2D |
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[d89f09b] | 10 | from fitproblem import FitProblem |
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| 11 | from fitpanel import FitPanel |
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| 12 | |
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[2dbb681] | 13 | import models,modelpage |
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[e1a310f] | 14 | import fitpage1D,fitpage2D |
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[dabb633] | 15 | import park |
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[d250f7d] | 16 | DEFAULT_BEAM = 0.005 |
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[d89f09b] | 17 | class Plugin: |
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| 18 | """ |
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[dabb633] | 19 | Fitting plugin is used to perform fit |
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[d89f09b] | 20 | """ |
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| 21 | def __init__(self): |
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| 22 | ## Plug-in name |
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| 23 | self.sub_menu = "Fitting" |
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| 24 | |
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| 25 | ## Reference to the parent window |
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| 26 | self.parent = None |
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| 27 | self.menu_mng = models.ModelManager() |
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| 28 | ## List of panels for the simulation perspective (names) |
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| 29 | self.perspective = [] |
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| 30 | # Start with a good default |
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| 31 | self.elapsed = 0.022 |
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| 32 | self.fitter = None |
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| 33 | |
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| 34 | #Flag to let the plug-in know that it is running standalone |
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| 35 | self.standalone=True |
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| 36 | ## Fit engine |
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[3b19ac9] | 37 | self._fit_engine = 'scipy' |
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[b2c3225] | 38 | self.enable_model2D=False |
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[d89f09b] | 39 | # Log startup |
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| 40 | logging.info("Fitting plug-in started") |
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| 41 | |
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| 42 | def populate_menu(self, id, owner): |
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| 43 | """ |
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| 44 | Create a menu for the Fitting plug-in |
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| 45 | @param id: id to create a menu |
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| 46 | @param owner: owner of menu |
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| 47 | @ return : list of information to populate the main menu |
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| 48 | """ |
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| 49 | #Menu for fitting |
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| 50 | self.menu1 = wx.Menu() |
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| 51 | id1 = wx.NewId() |
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| 52 | self.menu1.Append(id1, '&Show fit panel') |
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| 53 | wx.EVT_MENU(owner, id1, self.on_perspective) |
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[3b19ac9] | 54 | id3 = wx.NewId() |
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[442895f] | 55 | self.menu1.AppendCheckItem(id3, "park") |
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[3b19ac9] | 56 | wx.EVT_MENU(owner, id3, self._onset_engine) |
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[d89f09b] | 57 | |
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| 58 | #menu for model |
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| 59 | menu2 = wx.Menu() |
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[f39511b] | 60 | |
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[d89f09b] | 61 | self.menu_mng.populate_menu(menu2, owner) |
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| 62 | id2 = wx.NewId() |
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| 63 | owner.Bind(models.EVT_MODEL,self._on_model_menu) |
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[2dbb681] | 64 | #owner.Bind(modelpage.EVT_MODEL,self._on_model_menu) |
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[d89f09b] | 65 | self.fit_panel.set_owner(owner) |
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| 66 | self.fit_panel.set_model_list(self.menu_mng.get_model_list()) |
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[bcd6d51] | 67 | owner.Bind(fitpage1D.EVT_MODEL_BOX,self._on_model_panel) |
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[e1a310f] | 68 | owner.Bind(fitpage2D.EVT_MODEL_BOX,self._on_model_panel) |
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[3b19ac9] | 69 | #create menubar items |
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[d89f09b] | 70 | return [(id, self.menu1, "Fitting"),(id2, menu2, "Model")] |
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| 71 | |
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| 72 | |
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| 73 | def help(self, evt): |
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| 74 | """ |
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| 75 | Show a general help dialog. |
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| 76 | TODO: replace the text with a nice image |
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| 77 | """ |
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[d7d143b0] | 78 | from helpDialog import HelpWindow |
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| 79 | dialog = HelpWindow(None, -1, 'HelpWindow') |
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| 80 | if dialog.ShowModal() == wx.ID_OK: |
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| 81 | pass |
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| 82 | dialog.Destroy() |
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| 83 | |
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[d89f09b] | 84 | |
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| 85 | def get_context_menu(self, graph=None): |
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| 86 | """ |
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| 87 | Get the context menu items available for P(r) |
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| 88 | @param graph: the Graph object to which we attach the context menu |
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| 89 | @return: a list of menu items with call-back function |
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| 90 | """ |
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| 91 | self.graph=graph |
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| 92 | for item in graph.plottables: |
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[693ab78] | 93 | if item.__class__.__name__ is "Data2D": |
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[2dbb681] | 94 | return [["Select data for Fitting",\ |
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| 95 | "Dialog with fitting parameters ", self._onSelect]] |
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[6f73a08] | 96 | else: |
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[693ab78] | 97 | if item.name==graph.selected_plottable and\ |
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| 98 | item.__class__.__name__ is "Data1D": |
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[2dbb681] | 99 | return [["Select data for Fitting", \ |
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| 100 | "Dialog with fitting parameters ", self._onSelect]] |
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[d89f09b] | 101 | return [] |
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| 102 | |
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| 103 | |
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| 104 | def get_panels(self, parent): |
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| 105 | """ |
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| 106 | Create and return a list of panel objects |
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| 107 | """ |
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| 108 | self.parent = parent |
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| 109 | # Creation of the fit panel |
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| 110 | self.fit_panel = FitPanel(self.parent, -1) |
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| 111 | #Set the manager forthe main panel |
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| 112 | self.fit_panel.set_manager(self) |
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| 113 | # List of windows used for the perspective |
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| 114 | self.perspective = [] |
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| 115 | self.perspective.append(self.fit_panel.window_name) |
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| 116 | # take care of saving data, model and page associated with each other |
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[3b19ac9] | 117 | self.page_finder = {} |
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| 118 | #index number to create random model name |
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| 119 | self.index_model = 0 |
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| 120 | #create the fitting panel |
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[d89f09b] | 121 | return [self.fit_panel] |
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[d23544dc] | 122 | def _on_show_panel(self, event): |
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| 123 | print "_on_show_panel: fitting" |
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[d89f09b] | 124 | |
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| 125 | def get_perspective(self): |
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| 126 | """ |
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| 127 | Get the list of panel names for this perspective |
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| 128 | """ |
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| 129 | return self.perspective |
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| 130 | |
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| 131 | |
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| 132 | def on_perspective(self, event): |
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| 133 | """ |
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| 134 | Call back function for the perspective menu item. |
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| 135 | We notify the parent window that the perspective |
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| 136 | has changed. |
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| 137 | """ |
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| 138 | self.parent.set_perspective(self.perspective) |
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| 139 | |
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| 140 | |
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| 141 | def post_init(self): |
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| 142 | """ |
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| 143 | Post initialization call back to close the loose ends |
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| 144 | [Somehow openGL needs this call] |
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| 145 | """ |
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| 146 | self.parent.set_perspective(self.perspective) |
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| 147 | |
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| 148 | |
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| 149 | def _onSelect(self,event): |
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| 150 | """ |
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| 151 | when Select data to fit a new page is created .Its reference is |
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| 152 | added to self.page_finder |
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| 153 | """ |
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| 154 | self.panel = event.GetEventObject() |
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| 155 | for item in self.panel.graph.plottables: |
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[693ab78] | 156 | if item.name == self.panel.graph.selected_plottable or\ |
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| 157 | item.__class__.__name__ is "Data2D": |
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[3b19ac9] | 158 | #find a name for the page created for notebook |
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[d89f09b] | 159 | try: |
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[6bcdad1] | 160 | page, model_name = self.fit_panel.add_fit_page(item) |
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[3b19ac9] | 161 | # add data associated to the page created |
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[bcd6d51] | 162 | |
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[6f73a08] | 163 | if page !=None: |
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[caa1226] | 164 | |
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[6f73a08] | 165 | #create a fitproblem storing all link to data,model,page creation |
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| 166 | self.page_finder[page]= FitProblem() |
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[6bcdad1] | 167 | self.page_finder[page].save_model_name(model_name) |
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[bcd6d51] | 168 | self.page_finder[page].add_data(item) |
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[d89f09b] | 169 | except: |
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[6f73a08] | 170 | wx.PostEvent(self.parent, StatusEvent(status="Creating Fit page: %s"\ |
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| 171 | %sys.exc_value)) |
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[948add7] | 172 | def schedule_for_fit(self,value=0,fitproblem =None): |
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| 173 | """ |
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| 174 | |
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| 175 | """ |
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| 176 | if fitproblem !=None: |
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| 177 | fitproblem.schedule_tofit(value) |
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| 178 | else: |
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| 179 | current_pg=self.fit_panel.get_current_page() |
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| 180 | for page, val in self.page_finder.iteritems(): |
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| 181 | if page ==current_pg : |
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| 182 | val.schedule_tofit(value) |
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| 183 | break |
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| 184 | |
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[d89f09b] | 185 | |
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| 186 | def get_page_finder(self): |
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| 187 | """ @return self.page_finder used also by simfitpage.py""" |
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| 188 | return self.page_finder |
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| 189 | |
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| 190 | |
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[3b19ac9] | 191 | def set_page_finder(self,modelname,names,values): |
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[d89f09b] | 192 | """ |
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| 193 | Used by simfitpage.py to reset a parameter given the string constrainst. |
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| 194 | @param modelname: the name ot the model for with the parameter has to reset |
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| 195 | @param value: can be a string in this case. |
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[3b19ac9] | 196 | @param names: the paramter name |
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[d89f09b] | 197 | @note: expecting park used for fit. |
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| 198 | """ |
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| 199 | sim_page=self.fit_panel.get_page(0) |
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| 200 | for page, value in self.page_finder.iteritems(): |
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| 201 | if page != sim_page: |
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| 202 | list=value.get_model() |
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| 203 | model=list[0] |
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[bcd6d51] | 204 | #print "fitting",model.name,modelname |
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[d89f09b] | 205 | if model.name== modelname: |
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[3b19ac9] | 206 | value.set_model_param(names,values) |
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[d89f09b] | 207 | break |
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| 208 | |
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| 209 | |
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| 210 | |
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| 211 | def split_string(self,item): |
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| 212 | """ |
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[3b19ac9] | 213 | receive a word containing dot and split it. used to split parameterset |
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| 214 | name into model name and parameter name example: |
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| 215 | paramaterset (item) = M1.A |
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| 216 | @return model_name =M1 , parameter name =A |
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[d89f09b] | 217 | """ |
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| 218 | if string.find(item,".")!=-1: |
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| 219 | param_names= re.split("\.",item) |
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| 220 | model_name=param_names[0] |
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| 221 | param_name=param_names[1] |
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| 222 | return model_name,param_name |
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| 223 | |
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| 224 | |
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[9d31a8b] | 225 | def _single_fit_completed(self,result,pars,cpage,qmin,qmax,ymin=None, ymax=None): |
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[d89f09b] | 226 | """ |
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[3b19ac9] | 227 | Display fit result on one page of the notebook. |
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| 228 | @param result: result of fit |
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| 229 | @param pars: list of names of parameters fitted |
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| 230 | @param current_pg: the page where information will be displayed |
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| 231 | @param qmin: the minimum value of x to replot the model |
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| 232 | @param qmax: the maximum value of x to replot model |
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[d89f09b] | 233 | |
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| 234 | """ |
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| 235 | try: |
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| 236 | for page, value in self.page_finder.iteritems(): |
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[948add7] | 237 | if page==cpage : |
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[6f73a08] | 238 | #fitdata = value.get_data() |
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[d89f09b] | 239 | list = value.get_model() |
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| 240 | model= list[0] |
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| 241 | break |
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| 242 | i = 0 |
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[442895f] | 243 | # print "fitting: single fit pars ", pars |
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[d89f09b] | 244 | for name in pars: |
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| 245 | if result.pvec.__class__==numpy.float64: |
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[1b07935d] | 246 | model.setParam(name,result.pvec) |
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[d89f09b] | 247 | else: |
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[1b07935d] | 248 | model.setParam(name,result.pvec[i]) |
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[442895f] | 249 | # print "fitting: single fit", name, result.pvec[i] |
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[d89f09b] | 250 | i += 1 |
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[442895f] | 251 | # print "fitting result : chisqr",result.fitness |
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| 252 | # print "fitting result : pvec",result.pvec |
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| 253 | # print "fitting result : stderr",result.stderr |
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| 254 | |
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[948add7] | 255 | cpage.onsetValues(result.fitness, result.pvec,result.stderr) |
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[9d31a8b] | 256 | self.plot_helper(currpage=cpage,qmin=qmin,qmax=qmax,ymin=ymin, ymax=ymax) |
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[d89f09b] | 257 | except: |
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[442895f] | 258 | raise |
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[060b857] | 259 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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[d89f09b] | 260 | |
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| 261 | |
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[9d31a8b] | 262 | def _simul_fit_completed(self,result,qmin,qmax,ymin=None, ymax=None): |
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[d89f09b] | 263 | """ |
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| 264 | Parameter estimation completed, |
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| 265 | display the results to the user |
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| 266 | @param alpha: estimated best alpha |
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| 267 | @param elapsed: computation time |
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| 268 | """ |
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| 269 | try: |
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| 270 | for page, value in self.page_finder.iteritems(): |
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[948add7] | 271 | if value.get_scheduled()==1: |
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[6f73a08] | 272 | #fitdata = value.get_data() |
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[3b19ac9] | 273 | list = value.get_model() |
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| 274 | model= list[0] |
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| 275 | |
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| 276 | small_out = [] |
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| 277 | small_cov = [] |
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| 278 | i = 0 |
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| 279 | #Separate result in to data corresponding to each page |
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| 280 | for p in result.parameters: |
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| 281 | model_name,param_name = self.split_string(p.name) |
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| 282 | if model.name == model_name: |
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| 283 | small_out.append(p.value ) |
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| 284 | small_cov.append(p.stderr) |
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| 285 | model.setParam(param_name,p.value) |
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| 286 | # Display result on each page |
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| 287 | page.onsetValues(result.fitness, small_out,small_cov) |
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| 288 | #Replot model |
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[9d31a8b] | 289 | self.plot_helper(currpage= page,qmin= qmin,qmax= qmax,ymin=ymin, ymax=ymax) |
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[d89f09b] | 290 | except: |
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| 291 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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| 292 | |
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[4fc6dbf] | 293 | |
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[9d31a8b] | 294 | def _on_single_fit(self,id=None,qmin=None,qmax=None,ymin=None,ymax=None): |
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[d89f09b] | 295 | """ |
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| 296 | perform fit for the current page and return chisqr,out and cov |
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| 297 | @param engineName: type of fit to be performed |
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| 298 | @param id: unique id corresponding to a fit problem(model, set of data) |
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| 299 | @param model: model to fit |
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| 300 | |
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| 301 | """ |
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[948add7] | 302 | #print "in single fitting" |
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[d89f09b] | 303 | #set an engine to perform fit |
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| 304 | from sans.fit.Fitting import Fit |
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| 305 | self.fitter= Fit(self._fit_engine) |
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[3b19ac9] | 306 | #Setting an id to store model and data in fit engine |
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[d89f09b] | 307 | if id==None: |
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| 308 | id=0 |
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[3b19ac9] | 309 | self.id = id |
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[948add7] | 310 | page_fitted=None |
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| 311 | fit_problem=None |
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[3b19ac9] | 312 | #Get information (model , data) related to the page on |
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| 313 | #with the fit will be perform |
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[57f3320] | 314 | #current_pg=self.fit_panel.get_current_page() |
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| 315 | #simul_pg=self.fit_panel.get_page(0) |
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[948add7] | 316 | |
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[d89f09b] | 317 | for page, value in self.page_finder.iteritems(): |
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[948add7] | 318 | if value.get_scheduled() ==1 : |
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[9d31a8b] | 319 | metadata = value.get_data() |
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[d89f09b] | 320 | list=value.get_model() |
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| 321 | model=list[0] |
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[08b9c6c8] | 322 | smearer= value.get_smearer() |
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[3b19ac9] | 323 | #Create list of parameters for fitting used |
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[d89f09b] | 324 | pars=[] |
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| 325 | templist=[] |
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| 326 | try: |
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[948add7] | 327 | #templist=current_pg.get_param_list() |
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| 328 | templist=page.get_param_list() |
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| 329 | for element in templist: |
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| 330 | pars.append(str(element[0].GetLabelText())) |
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| 331 | pars.sort() |
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| 332 | #Do the single fit |
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[3b19ac9] | 333 | self.fitter.set_model(Model(model), self.id, pars) |
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[b710eb7] | 334 | |
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[08b9c6c8] | 335 | self.fitter.set_data(metadata,self.id,smearer, qmin,qmax) |
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[948add7] | 336 | self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled()) |
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| 337 | page_fitted=page |
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| 338 | self.id+=1 |
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| 339 | self.schedule_for_fit( 0,value) |
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[d89f09b] | 340 | except: |
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[948add7] | 341 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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[d89f09b] | 342 | return |
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[948add7] | 343 | # make sure to keep an alphabetic order |
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| 344 | #of parameter names in the list |
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| 345 | try: |
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| 346 | result=self.fitter.fit() |
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| 347 | #self._single_fit_completed(result,pars,current_pg,qmin,qmax) |
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[f39511b] | 348 | #print "single_fit: result",result.fitness,result.pvec,result.stderr |
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[948add7] | 349 | #self._single_fit_completed(result,pars,page,qmin,qmax) |
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[9d31a8b] | 350 | self._single_fit_completed(result,pars,page_fitted,qmin,qmax,ymin,ymax) |
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[948add7] | 351 | except: |
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[6f73a08] | 352 | raise |
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[948add7] | 353 | wx.PostEvent(self.parent, StatusEvent(status="Single Fit error: %s" % sys.exc_value)) |
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| 354 | return |
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[d89f09b] | 355 | |
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[9d31a8b] | 356 | def _on_simul_fit(self, id=None,qmin=None,qmax=None, ymin=None, ymax=None): |
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[d89f09b] | 357 | """ |
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| 358 | perform fit for all the pages selected on simpage and return chisqr,out and cov |
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| 359 | @param engineName: type of fit to be performed |
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| 360 | @param id: unique id corresponding to a fit problem(model, set of data) |
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| 361 | in park_integration |
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| 362 | @param model: model to fit |
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| 363 | |
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| 364 | """ |
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| 365 | #set an engine to perform fit |
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| 366 | from sans.fit.Fitting import Fit |
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| 367 | self.fitter= Fit(self._fit_engine) |
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[3b19ac9] | 368 | |
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[d89f09b] | 369 | #Setting an id to store model and data |
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| 370 | if id==None: |
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| 371 | id = 0 |
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| 372 | self.id = id |
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[3b19ac9] | 373 | |
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[d89f09b] | 374 | for page, value in self.page_finder.iteritems(): |
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| 375 | try: |
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[948add7] | 376 | if value.get_scheduled()==1: |
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[9d31a8b] | 377 | metadata = value.get_data() |
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[3b19ac9] | 378 | list = value.get_model() |
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| 379 | model= list[0] |
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[d89f09b] | 380 | #Create dictionary of parameters for fitting used |
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| 381 | pars = [] |
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| 382 | templist = [] |
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[3b19ac9] | 383 | templist = page.get_param_list() |
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[d89f09b] | 384 | for element in templist: |
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| 385 | try: |
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| 386 | name = str(element[0].GetLabelText()) |
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| 387 | pars.append(name) |
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| 388 | except: |
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| 389 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
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| 390 | return |
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[00561739] | 391 | new_model=Model(model) |
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[8e81af0] | 392 | param=value.get_model_param() |
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| 393 | |
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| 394 | if len(param)>0: |
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| 395 | for item in param: |
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| 396 | param_value = item[1] |
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| 397 | param_name = item[0] |
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| 398 | #print "fitting ", param,param_name, param_value |
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| 399 | |
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| 400 | #new_model.set( model.getParam(param_name[0])= param_value) |
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| 401 | #new_model.set( exec"%s=%s"%(param_name[0], param_value)) |
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| 402 | #new_model.set( exec "%s"%(param_nam) = param_value) |
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| 403 | new_model.parameterset[ param_name].set( param_value ) |
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| 404 | |
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[948add7] | 405 | self.fitter.set_model(new_model, self.id, pars) |
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[9d31a8b] | 406 | self.fitter.set_data(metadata,self.id,qmin,qmax,ymin,ymax) |
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[948add7] | 407 | self.fitter.select_problem_for_fit(Uid=self.id,value=value.get_scheduled()) |
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[3b19ac9] | 408 | self.id += 1 |
---|
[d89f09b] | 409 | except: |
---|
[3b19ac9] | 410 | wx.PostEvent(self.parent, StatusEvent(status="Fitting error: %s" % sys.exc_value)) |
---|
| 411 | return |
---|
[dabb633] | 412 | #Do the simultaneous fit |
---|
[d89f09b] | 413 | try: |
---|
| 414 | result=self.fitter.fit() |
---|
[9d31a8b] | 415 | self._simul_fit_completed(result,qmin,qmax,ymin,ymax) |
---|
[d89f09b] | 416 | except: |
---|
| 417 | wx.PostEvent(self.parent, StatusEvent(status="Simultaneous Fitting error: %s" % sys.exc_value)) |
---|
| 418 | return |
---|
[3b19ac9] | 419 | |
---|
| 420 | |
---|
| 421 | def _onset_engine(self,event): |
---|
| 422 | """ set engine to scipy""" |
---|
| 423 | if self._fit_engine== 'park': |
---|
| 424 | self._on_change_engine('scipy') |
---|
| 425 | else: |
---|
| 426 | self._on_change_engine('park') |
---|
| 427 | wx.PostEvent(self.parent, StatusEvent(status="Engine set to: %s" % self._fit_engine)) |
---|
| 428 | |
---|
| 429 | |
---|
[d89f09b] | 430 | def _on_change_engine(self, engine='park'): |
---|
| 431 | """ |
---|
| 432 | Allow to select the type of engine to perform fit |
---|
| 433 | @param engine: the key work of the engine |
---|
| 434 | """ |
---|
| 435 | self._fit_engine = engine |
---|
| 436 | |
---|
| 437 | |
---|
| 438 | def _on_model_panel(self, evt): |
---|
| 439 | """ |
---|
| 440 | react to model selection on any combo box or model menu.plot the model |
---|
| 441 | """ |
---|
[e1a310f] | 442 | |
---|
[d89f09b] | 443 | model = evt.model |
---|
| 444 | name = evt.name |
---|
| 445 | sim_page=self.fit_panel.get_page(0) |
---|
| 446 | current_pg = self.fit_panel.get_current_page() |
---|
[6bcdad1] | 447 | selected_page = self.fit_panel.get_selected_page() |
---|
[d89f09b] | 448 | if current_pg != sim_page: |
---|
| 449 | current_pg.set_panel(model) |
---|
[6bcdad1] | 450 | model.name = self.page_finder[current_pg].get_name() |
---|
[d89f09b] | 451 | try: |
---|
[bcd6d51] | 452 | metadata=self.page_finder[current_pg].get_data() |
---|
[6bcdad1] | 453 | M_name=model.name+"= "+name+"("+metadata.group_id+")" |
---|
[d89f09b] | 454 | except: |
---|
[6bcdad1] | 455 | M_name=model.name+"= "+name |
---|
| 456 | #model.name="M"+str(self.index_model) |
---|
[d89f09b] | 457 | self.index_model += 1 |
---|
[6bcdad1] | 458 | # save model name |
---|
[442895f] | 459 | |
---|
[6bcdad1] | 460 | # save the name containing the data name with the appropriate model |
---|
[1b07935d] | 461 | self.page_finder[current_pg].set_model(model,M_name) |
---|
[d89f09b] | 462 | self.plot_helper(currpage= current_pg,qmin= None,qmax= None) |
---|
| 463 | sim_page.add_model(self.page_finder) |
---|
| 464 | |
---|
[08b9c6c8] | 465 | def set_smearer(self,smearer): |
---|
| 466 | current_pg=self.fit_panel.get_current_page() |
---|
| 467 | self.page_finder[current_pg].set_smearer(smearer) |
---|
| 468 | |
---|
[d89f09b] | 469 | def redraw_model(self,qmin= None,qmax= None): |
---|
| 470 | """ |
---|
| 471 | Draw a theory according to model changes or data range. |
---|
| 472 | @param qmin: the minimum value plotted for theory |
---|
| 473 | @param qmax: the maximum value plotted for theory |
---|
| 474 | """ |
---|
| 475 | current_pg=self.fit_panel.get_current_page() |
---|
| 476 | for page, value in self.page_finder.iteritems(): |
---|
| 477 | if page ==current_pg : |
---|
| 478 | break |
---|
| 479 | self.plot_helper(currpage=page,qmin= qmin,qmax= qmax) |
---|
| 480 | |
---|
[9d31a8b] | 481 | def plot_helper(self,currpage,qmin=None,qmax=None,ymin=None,ymax=None): |
---|
[d89f09b] | 482 | """ |
---|
| 483 | Plot a theory given a model and data |
---|
| 484 | @param model: the model from where the theory is derived |
---|
| 485 | @param currpage: page in a dictionary referring to some data |
---|
| 486 | """ |
---|
| 487 | if self.fit_panel.get_page_count() >1: |
---|
| 488 | for page in self.page_finder.iterkeys(): |
---|
| 489 | if page==currpage : |
---|
[bcd6d51] | 490 | data=self.page_finder[page].get_data() |
---|
| 491 | list=self.page_finder[page].get_model() |
---|
| 492 | model=list[0] |
---|
[d89f09b] | 493 | break |
---|
[6f73a08] | 494 | |
---|
[693ab78] | 495 | if data!=None and data.__class__.__name__ != 'Data2D': |
---|
[d89f09b] | 496 | theory = Theory1D(x=[], y=[]) |
---|
[6bcdad1] | 497 | theory.name = model.name |
---|
[d89f09b] | 498 | theory.group_id = data.group_id |
---|
[6bcdad1] | 499 | theory.id = "Model" |
---|
[d89f09b] | 500 | x_name, x_units = data.get_xaxis() |
---|
| 501 | y_name, y_units = data.get_yaxis() |
---|
| 502 | theory.xaxis(x_name, x_units) |
---|
| 503 | theory.yaxis(y_name, y_units) |
---|
| 504 | if qmin == None : |
---|
| 505 | qmin = min(data.x) |
---|
| 506 | if qmax == None : |
---|
| 507 | qmax = max(data.x) |
---|
| 508 | try: |
---|
| 509 | tempx = qmin |
---|
[1b07935d] | 510 | tempy = model.run(qmin) |
---|
[d89f09b] | 511 | theory.x.append(tempx) |
---|
| 512 | theory.y.append(tempy) |
---|
| 513 | except : |
---|
| 514 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
| 515 | skipping point x %g %s" %(qmin, sys.exc_value))) |
---|
| 516 | |
---|
| 517 | for i in range(len(data.x)): |
---|
| 518 | try: |
---|
| 519 | if data.x[i]> qmin and data.x[i]< qmax: |
---|
| 520 | tempx = data.x[i] |
---|
[1b07935d] | 521 | tempy = model.run(tempx) |
---|
[d89f09b] | 522 | theory.x.append(tempx) |
---|
| 523 | theory.y.append(tempy) |
---|
[04edd0d] | 524 | |
---|
[d89f09b] | 525 | except: |
---|
| 526 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
| 527 | skipping point x %g %s" %(data.x[i], sys.exc_value))) |
---|
| 528 | try: |
---|
| 529 | tempx = qmax |
---|
[1b07935d] | 530 | tempy = model.run(qmax) |
---|
[d89f09b] | 531 | theory.x.append(tempx) |
---|
| 532 | theory.y.append(tempy) |
---|
| 533 | except: |
---|
[00561739] | 534 | wx.PostEvent(self.parent, StatusEvent(status="fitting \ |
---|
| 535 | skipping point x %g %s" %(qmax, sys.exc_value))) |
---|
[04edd0d] | 536 | |
---|
[6f73a08] | 537 | else: |
---|
[dc317d1] | 538 | theory=Data2D(data.data, data.err_data) |
---|
[6bcdad1] | 539 | theory.name= model.name |
---|
| 540 | theory.id= "Model" |
---|
| 541 | theory.group_id= "Model"+data.name |
---|
[6f73a08] | 542 | theory.x_bins= data.x_bins |
---|
| 543 | theory.y_bins= data.y_bins |
---|
| 544 | tempy=[] |
---|
[9d31a8b] | 545 | if qmin==None: |
---|
| 546 | qmin=data.xmin |
---|
| 547 | if qmax==None: |
---|
[4274c0e] | 548 | qmax=data.xmax |
---|
[9d31a8b] | 549 | if ymin==None: |
---|
| 550 | ymin=data.ymin |
---|
| 551 | if ymax==None: |
---|
[4274c0e] | 552 | ymax=data.ymax |
---|
[a890be6] | 553 | |
---|
[57668f8] | 554 | theory.data = numpy.zeros((len(data.y_bins),len(data.x_bins))) |
---|
[44bbf6a] | 555 | for i in range(len(data.y_bins)): |
---|
| 556 | if data.y_bins[i]>= ymin and data.y_bins[i]<= ymax: |
---|
| 557 | for j in range(len(data.x_bins)): |
---|
| 558 | if data.x_bins[i]>= qmin and data.x_bins[i]<= qmax: |
---|
[57668f8] | 559 | theory.data[j][i]=model.runXY([data.x_bins[j],data.y_bins[i]]) |
---|
[44bbf6a] | 560 | |
---|
| 561 | #print "fitting : plot_helper:", theory.image |
---|
[6f73a08] | 562 | #print data.image |
---|
[2dbb681] | 563 | #print "fitting : plot_helper:",theory.image |
---|
[1f62278] | 564 | theory.detector= data.detector |
---|
| 565 | theory.source= data.source |
---|
[6f73a08] | 566 | theory.zmin= data.zmin |
---|
| 567 | theory.zmax= data.zmax |
---|
[4274c0e] | 568 | theory.xmin= qmin |
---|
| 569 | theory.xmax= qmax |
---|
| 570 | theory.ymin= ymin |
---|
| 571 | theory.ymax= ymax |
---|
[04edd0d] | 572 | |
---|
[6bcdad1] | 573 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, |
---|
| 574 | title="Analytical model %s"%str(data.name))) |
---|
[6f73a08] | 575 | |
---|
| 576 | |
---|
[d89f09b] | 577 | def _on_model_menu(self, evt): |
---|
| 578 | """ |
---|
| 579 | Plot a theory from a model selected from the menu |
---|
| 580 | """ |
---|
[86c1832] | 581 | name = evt.model.__name__ |
---|
| 582 | if hasattr(evt.model, "name"): |
---|
| 583 | name = evt.model.name |
---|
[b2c3225] | 584 | model=evt.model() |
---|
[f39511b] | 585 | #name="Model View" |
---|
| 586 | #print "mon menu",model.name |
---|
[2dbb681] | 587 | description=model.description |
---|
[2e10b70] | 588 | #self.fit_panel.add_model_page(model,description,name) |
---|
[db709e4] | 589 | |
---|
| 590 | self.draw_model(model=model,name=name) |
---|
[1b07935d] | 591 | |
---|
[86c1832] | 592 | def draw_model(self,model,name ,description=None,enable1D=True, enable2D=False,qmin=None, qmax=None,qstep=None): |
---|
[3b19ac9] | 593 | """ |
---|
| 594 | draw model with default data value |
---|
| 595 | """ |
---|
[86c1832] | 596 | |
---|
| 597 | self.fit_panel.add_model_page(model=model,description=model.description,page_title=name) |
---|
[d74d751] | 598 | self._draw_model2D(model=model, |
---|
| 599 | description=model.description, |
---|
| 600 | enable2D= enable2D, |
---|
| 601 | qmin=qmin, |
---|
| 602 | qmax=qmax, |
---|
[e8d1066] | 603 | qstep=None) |
---|
[86c1832] | 604 | self._draw_model1D(model,name,model.description, enable1D,qmin,qmax, qstep) |
---|
[d250f7d] | 605 | |
---|
[86c1832] | 606 | def _draw_model1D(self,model,name,description=None, enable1D=True,qmin=None,qmax=None, qstep=None): |
---|
[e5a9e32] | 607 | |
---|
[d250f7d] | 608 | if enable1D: |
---|
| 609 | if qmin==None: |
---|
| 610 | qmin= 0.001 |
---|
| 611 | if qmax==None: |
---|
| 612 | qmax= 1.0 |
---|
| 613 | if qstep ==None: |
---|
[d15c0202] | 614 | qstep =100 |
---|
[d250f7d] | 615 | |
---|
[86c1832] | 616 | #print "x in data1D",qmin,qmax |
---|
[d15c0202] | 617 | #x = numpy.arange(qmin, qmax, qstep) |
---|
| 618 | x= numpy.linspace(start= qmin, |
---|
| 619 | stop= qmax, |
---|
| 620 | num= qstep, |
---|
| 621 | endpoint=True |
---|
| 622 | ) |
---|
[f39511b] | 623 | xlen= len(x) |
---|
| 624 | y = numpy.zeros(xlen) |
---|
[d250f7d] | 625 | if not enable1D: |
---|
[f39511b] | 626 | for i in range(xlen): |
---|
| 627 | y[i] = model.run(x[i]) |
---|
[d15c0202] | 628 | |
---|
[f39511b] | 629 | try: |
---|
| 630 | new_plot = Theory1D(x, y) |
---|
[86c1832] | 631 | new_plot.name = name |
---|
[f39511b] | 632 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
| 633 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
[6bcdad1] | 634 | new_plot.id = "Model" |
---|
| 635 | new_plot.group_id ="Model" |
---|
[f39511b] | 636 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title="Analytical model 1D")) |
---|
| 637 | |
---|
| 638 | except: |
---|
| 639 | raise |
---|
| 640 | else: |
---|
| 641 | for i in range(xlen): |
---|
| 642 | y[i] = model.run(x[i]) |
---|
[d15c0202] | 643 | #print x, y |
---|
[f39511b] | 644 | try: |
---|
| 645 | new_plot = Theory1D(x, y) |
---|
[86c1832] | 646 | new_plot.name = name |
---|
[f39511b] | 647 | new_plot.xaxis("\\rm{Q}", 'A^{-1}') |
---|
| 648 | new_plot.yaxis("\\rm{Intensity} ","cm^{-1}") |
---|
[6bcdad1] | 649 | new_plot.id ="Model" |
---|
| 650 | new_plot.group_id ="Model" |
---|
| 651 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
---|
[86c1832] | 652 | title="Analytical model 1D " )) |
---|
[f39511b] | 653 | |
---|
| 654 | except: |
---|
| 655 | raise |
---|
[d23544dc] | 656 | def update(self, output,elapsed): |
---|
| 657 | print "Got an update", elapsed |
---|
| 658 | wx.PostEvent(self.parent, StatusEvent(status="Plot \ |
---|
| 659 | updating ... %g sec" % elapsed)) |
---|
[20be946] | 660 | |
---|
| 661 | def complete(self, output, elapsed, model, qmin, qmax): |
---|
| 662 | #printEVT("Calc complete in %g sec" % elapsed) |
---|
| 663 | wx.PostEvent(self.parent, StatusEvent(status="Calc \ |
---|
| 664 | complete in %g sec" % elapsed)) |
---|
[d15c0202] | 665 | #print "complete",output, model,qmin, qmax |
---|
[20be946] | 666 | data = output |
---|
| 667 | theory= Data2D(data) |
---|
[d15c0202] | 668 | #print data.detector |
---|
| 669 | #theory.detector= data.detector |
---|
| 670 | from DataLoader.data_info import Detector, Source |
---|
| 671 | |
---|
| 672 | detector = Detector() |
---|
| 673 | theory.detector=[] |
---|
| 674 | theory.detector.append(detector) |
---|
| 675 | |
---|
| 676 | theory.detector[0].pixel_size.x= 5.0 |
---|
| 677 | theory.detector[0].pixel_size.y= 5.0 |
---|
| 678 | theory.source= Source() |
---|
| 679 | theory.source.wavelength= 8.4 |
---|
| 680 | theory.detector[0].beam_center.x= 0 |
---|
| 681 | theory.detector[0].beam_center.y= 0 |
---|
| 682 | theory.detector[0].distance= 13705.0 |
---|
| 683 | |
---|
[20be946] | 684 | theory.name= model.name |
---|
| 685 | theory.group_id ="Model" |
---|
| 686 | theory.id ="Model" |
---|
[d15c0202] | 687 | theory.xmin= -qmax |
---|
[20be946] | 688 | theory.xmax= qmax |
---|
[d15c0202] | 689 | theory.ymin= -qmax |
---|
[20be946] | 690 | theory.ymax= qmax |
---|
[d15c0202] | 691 | print "model draw comptele xmax",theory.xmax |
---|
[20be946] | 692 | wx.PostEvent(self.parent, NewPlotEvent(plot=theory, |
---|
| 693 | title="Analytical model 2D %s" %str(model.name))) |
---|
| 694 | |
---|
| 695 | |
---|
| 696 | |
---|
| 697 | def _draw_model2D(self,model,description=None, enable2D=False,qmin=None,qmax=None, qstep=None): |
---|
[dc317d1] | 698 | if qmin==None: |
---|
[d15c0202] | 699 | qmin= 0.0 |
---|
[dc317d1] | 700 | if qmax==None: |
---|
| 701 | qmax= 0.05 |
---|
| 702 | if qstep ==None: |
---|
[d15c0202] | 703 | qstep =100 |
---|
| 704 | |
---|
| 705 | x= numpy.linspace(start= -1*qmax, |
---|
| 706 | stop= qmax, |
---|
| 707 | num= qstep, |
---|
| 708 | endpoint=True ) |
---|
| 709 | y = numpy.linspace(start= -1*qmax, |
---|
| 710 | stop= qmax, |
---|
| 711 | num= qstep, |
---|
| 712 | endpoint=True ) |
---|
| 713 | |
---|
[dc317d1] | 714 | lx = len(x) |
---|
[1c5b068] | 715 | #print x |
---|
[dc317d1] | 716 | data=numpy.zeros([len(x),len(y)]) |
---|
[20be946] | 717 | self.model= model |
---|
[dc317d1] | 718 | if enable2D: |
---|
[20be946] | 719 | from model_thread import Calc2D |
---|
[d15c0202] | 720 | self.calc_thread = Calc2D(parent =self.parent,x=x, |
---|
| 721 | y=y,model= self.model, |
---|
| 722 | qmin=qmin, |
---|
| 723 | qmax=qmax, |
---|
[20be946] | 724 | completefn=self.complete, |
---|
| 725 | updatefn=self.update) |
---|
| 726 | self.calc_thread.queue() |
---|
| 727 | self.calc_thread.ready(2.5) |
---|
| 728 | |
---|
[db709e4] | 729 | |
---|
[d89f09b] | 730 | if __name__ == "__main__": |
---|
| 731 | i = Plugin() |
---|
| 732 | |
---|
| 733 | |
---|
| 734 | |
---|
| 735 | |
---|