1 | """ |
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2 | Fitting perspective |
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3 | """ |
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4 | ################################################################################ |
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5 | #This software was developed by the University of Tennessee as part of the |
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6 | #Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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7 | #project funded by the US National Science Foundation. |
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8 | # |
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9 | #See the license text in license.txt |
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10 | # |
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11 | #copyright 2009, University of Tennessee |
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12 | ################################################################################ |
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13 | import re |
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14 | import sys |
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15 | import os |
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16 | import wx |
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17 | import logging |
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18 | import numpy |
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19 | import time |
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20 | from copy import deepcopy |
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21 | import models |
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22 | |
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23 | from sans.dataloader.loader import Loader |
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24 | from sans.guiframe.dataFitting import Data2D |
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25 | from sans.guiframe.dataFitting import Data1D |
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26 | from sans.guiframe.dataFitting import check_data_validity |
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27 | from sans.guiframe.events import NewPlotEvent |
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28 | from sans.guiframe.events import StatusEvent |
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29 | from sans.guiframe.events import EVT_SLICER_PANEL |
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30 | from sans.guiframe.events import EVT_SLICER_PARS_UPDATE |
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31 | from sans.guiframe.gui_style import GUIFRAME_ID |
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32 | from sans.guiframe.plugin_base import PluginBase |
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33 | from sans.guiframe.data_processor import BatchCell |
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34 | from sans.fit.Fitting import Fit |
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35 | from .console import ConsoleUpdate |
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36 | from .fitproblem import FitProblemDictionary |
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37 | from .fitpanel import FitPanel |
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38 | from .fit_thread import FitThread |
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39 | from .pagestate import Reader |
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40 | from .fitpage import Chi2UpdateEvent |
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41 | from sans.perspectives.calculator.model_editor import TextDialog |
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42 | from sans.perspectives.calculator.model_editor import EditorWindow |
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43 | |
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44 | MAX_NBR_DATA = 4 |
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45 | SANS_F_TOL = 5e-05 |
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46 | |
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47 | (PageInfoEvent, EVT_PAGE_INFO) = wx.lib.newevent.NewEvent() |
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48 | |
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49 | |
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50 | if sys.platform.count("darwin") == 0: |
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51 | ON_MAC = False |
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52 | else: |
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53 | ON_MAC = True |
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54 | |
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55 | |
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56 | class Plugin(PluginBase): |
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57 | """ |
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58 | Fitting plugin is used to perform fit |
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59 | """ |
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60 | def __init__(self, standalone=False): |
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61 | PluginBase.__init__(self, name="Fitting", standalone=standalone) |
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62 | |
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63 | #list of panel to send to guiframe |
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64 | self.mypanels = [] |
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65 | # reference to the current running thread |
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66 | self.calc_2D = None |
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67 | self.calc_1D = None |
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68 | |
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69 | self.color_dict = {} |
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70 | |
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71 | self.fit_thread_list = {} |
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72 | self.residuals = None |
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73 | self.weight = None |
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74 | self.fit_panel = None |
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75 | # Start with a good default |
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76 | self.elapsed = 0.022 |
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77 | # the type of optimizer selected, park or scipy |
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78 | self.fitter = None |
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79 | self.fit_panel = None |
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80 | #let fit ready |
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81 | self.fitproblem_count = None |
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82 | #Flag to let the plug-in know that it is running stand alone |
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83 | self.standalone = True |
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84 | ## dictionary of page closed and id |
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85 | self.closed_page_dict = {} |
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86 | ## Fit engine |
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87 | self._fit_engine = 'scipy' |
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88 | self._gui_engine = None |
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89 | ## Relative error desired in the sum of squares (float); scipy only |
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90 | self.ftol = SANS_F_TOL |
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91 | self.batch_reset_flag = True |
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92 | #List of selected data |
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93 | self.selected_data_list = [] |
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94 | ## list of slicer panel created to display slicer parameters and results |
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95 | self.slicer_panels = [] |
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96 | # model 2D view |
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97 | self.model2D_id = None |
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98 | #keep reference of the simultaneous fit page |
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99 | self.sim_page = None |
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100 | self.sim_menu = None |
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101 | self.batch_page = None |
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102 | self.batch_menu = None |
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103 | self.index_model = 0 |
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104 | self.test_model_color = None |
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105 | #Create a reader for fit page's state |
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106 | self.state_reader = None |
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107 | self._extensions = '.fitv' |
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108 | self.scipy_id = wx.NewId() |
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109 | self.park_id = wx.NewId() |
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110 | self.menu1 = None |
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111 | self.new_model_frame = None |
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112 | |
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113 | self.temp_state = [] |
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114 | self.state_index = 0 |
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115 | self.sfile_ext = None |
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116 | # take care of saving data, model and page associated with each other |
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117 | self.page_finder = {} |
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118 | # Log startup |
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119 | logging.info("Fitting plug-in started") |
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120 | self.batch_capable = self.get_batch_capable() |
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121 | |
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122 | def get_batch_capable(self): |
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123 | """ |
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124 | Check if the plugin has a batch capability |
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125 | """ |
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126 | return True |
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127 | |
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128 | def create_fit_problem(self, page_id): |
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129 | """ |
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130 | Given an ID create a fitproblem container |
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131 | """ |
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132 | self.page_finder[page_id] = FitProblemDictionary() |
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133 | |
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134 | def delete_fit_problem(self, page_id): |
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135 | """ |
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136 | Given an ID create a fitproblem container |
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137 | """ |
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138 | if page_id in self.page_finder.iterkeys(): |
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139 | del self.page_finder[page_id] |
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140 | |
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141 | def add_color(self, color, id): |
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142 | """ |
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143 | adds a color as a key with a plot id as its value to a dictionary |
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144 | """ |
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145 | self.color_dict[id] = color |
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146 | |
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147 | def on_batch_selection(self, flag): |
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148 | """ |
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149 | switch the the notebook of batch mode or not |
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150 | """ |
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151 | self.batch_on = flag |
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152 | if self.fit_panel is not None: |
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153 | self.fit_panel.batch_on = self.batch_on |
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154 | |
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155 | def populate_menu(self, owner): |
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156 | """ |
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157 | Create a menu for the Fitting plug-in |
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158 | |
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159 | :param id: id to create a menu |
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160 | :param owner: owner of menu |
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161 | |
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162 | :return: list of information to populate the main menu |
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163 | |
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164 | """ |
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165 | #Menu for fitting |
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166 | self.menu1 = wx.Menu() |
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167 | id1 = wx.NewId() |
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168 | simul_help = "Add new fit panel" |
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169 | self.menu1.Append(id1, '&New Fit Page', simul_help) |
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170 | wx.EVT_MENU(owner, id1, self.on_add_new_page) |
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171 | self.menu1.AppendSeparator() |
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172 | self.id_simfit = wx.NewId() |
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173 | simul_help = "Simultaneous Fit" |
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174 | self.menu1.Append(self.id_simfit, '&Simultaneous Fit', simul_help) |
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175 | wx.EVT_MENU(owner, self.id_simfit, self.on_add_sim_page) |
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176 | self.sim_menu = self.menu1.FindItemById(self.id_simfit) |
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177 | self.sim_menu.Enable(False) |
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178 | #combined Batch |
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179 | self.id_batchfit = wx.NewId() |
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180 | batch_help = "Combined Batch" |
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181 | self.menu1.Append(self.id_batchfit, '&Combine Batch Fit', batch_help) |
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182 | wx.EVT_MENU(owner, self.id_batchfit, self.on_add_sim_page) |
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183 | self.batch_menu = self.menu1.FindItemById(self.id_batchfit) |
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184 | self.batch_menu.Enable(False) |
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185 | self.menu1.AppendSeparator() |
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186 | #Set park engine |
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187 | scipy_help = "Scipy Engine: Perform Simple fit. More in Help window...." |
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188 | self.menu1.AppendCheckItem(self.scipy_id, "Simple FitEngine [LeastSq]", |
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189 | scipy_help) |
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190 | wx.EVT_MENU(owner, self.scipy_id, self._onset_engine_scipy) |
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191 | |
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192 | park_help = "Park Engine: Perform Complex fit. More in Help window...." |
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193 | self.menu1.AppendCheckItem(self.park_id, "Complex FitEngine [ParkMC]", |
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194 | park_help) |
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195 | wx.EVT_MENU(owner, self.park_id, self._onset_engine_park) |
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196 | |
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197 | self.menu1.FindItemById(self.scipy_id).Check(True) |
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198 | self.menu1.FindItemById(self.park_id).Check(False) |
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199 | self.menu1.AppendSeparator() |
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200 | self.id_tol = wx.NewId() |
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201 | ftol_help = "Change the current FTolerance (=%s) " % str(self.ftol) |
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202 | ftol_help += "of Simple FitEngine..." |
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203 | self.menu1.Append(self.id_tol, "Change FTolerance", |
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204 | ftol_help) |
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205 | wx.EVT_MENU(owner, self.id_tol, self.show_ftol_dialog) |
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206 | self.menu1.AppendSeparator() |
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207 | |
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208 | self.id_reset_flag = wx.NewId() |
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209 | resetf_help = "BatchFit: If checked, the initial param values will be " |
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210 | resetf_help += "propagated from the previous results. " |
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211 | resetf_help += "Otherwise, the same initial param values will be used " |
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212 | resetf_help += "for all fittings." |
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213 | self.menu1.AppendCheckItem(self.id_reset_flag, |
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214 | "Chain Fitting [BatchFit Only]", |
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215 | resetf_help) |
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216 | wx.EVT_MENU(owner, self.id_reset_flag, self.on_reset_batch_flag) |
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217 | chain_menu = self.menu1.FindItemById(self.id_reset_flag) |
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218 | chain_menu.Check(not self.batch_reset_flag) |
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219 | chain_menu.Enable(self.batch_on) |
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220 | |
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221 | self.menu1.AppendSeparator() |
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222 | self.edit_model_menu = wx.Menu() |
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223 | # Find and put files name in menu |
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224 | try: |
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225 | self.set_edit_menu(owner=owner) |
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226 | except: |
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227 | raise |
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228 | |
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229 | self.id_edit = wx.NewId() |
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230 | editmodel_help = "Edit customized model sample file" |
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231 | self.menu1.AppendMenu(self.id_edit, "Edit Custom Model", |
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232 | self.edit_model_menu, editmodel_help) |
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233 | #create menubar items |
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234 | return [(self.menu1, self.sub_menu)] |
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235 | |
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236 | def edit_custom_model(self, event): |
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237 | """ |
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238 | Get the python editor panel |
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239 | """ |
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240 | id = event.GetId() |
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241 | label = self.edit_menu.GetLabel(id) |
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242 | from sans.perspectives.calculator.pyconsole import PyConsole |
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243 | filename = os.path.join(models.find_plugins_dir(), label) |
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244 | frame = PyConsole(parent=self.parent, manager=self, |
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245 | panel=self.fit_panel, |
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246 | title='Advanced Custom Model Editor', |
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247 | filename=filename) |
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248 | self.put_icon(frame) |
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249 | frame.Show(True) |
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250 | |
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251 | def delete_custom_model(self, event): |
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252 | """ |
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253 | Delete custom model file |
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254 | """ |
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255 | id = event.GetId() |
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256 | label = self.delete_menu.GetLabel(id) |
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257 | toks = os.path.splitext(label) |
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258 | path = os.path.join(models.find_plugins_dir(), toks[0]) |
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259 | try: |
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260 | for ext in ['.py', '.pyc']: |
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261 | p_path = path + ext |
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262 | os.remove(p_path) |
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263 | self.update_custom_combo() |
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264 | if os.path.isfile(p_path): |
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265 | msg = "Sorry! Could not be able to delete the default " |
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266 | msg += "custom model... \n" |
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267 | msg += "Please manually remove the files (.py, .pyc) " |
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268 | msg += "in the 'plugin_models' folder \n" |
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269 | msg += "inside of the SansView application, " |
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270 | msg += "and try it again." |
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271 | wx.MessageBox(msg, 'Info') |
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272 | #wx.PostEvent(self.parent, StatusEvent(status=msg, type='stop', |
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273 | # info='warning')) |
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274 | else: |
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275 | self.delete_menu.Delete(id) |
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276 | for item in self.edit_menu.GetMenuItems(): |
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277 | if item.GetLabel() == label: |
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278 | self.edit_menu.DeleteItem(item) |
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279 | msg = "The custom model, %s, has been deleted."% label |
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280 | wx.PostEvent(self.parent, StatusEvent(status=msg, |
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281 | type='stop', info='info')) |
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282 | break |
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283 | except: |
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284 | msg ='Delete Error: \nCould not delete the file; Check if in use.' |
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285 | wx.MessageBox(msg, 'Error') |
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286 | |
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287 | def make_sum_model(self, event): |
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288 | """ |
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289 | Edit summodel template and make one |
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290 | """ |
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291 | id = event.GetId() |
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292 | model_manager = models.ModelManager() |
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293 | model_list = model_manager.get_model_name_list() |
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294 | plug_dir = models.find_plugins_dir() |
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295 | textdial = TextDialog(None, self, -1, 'Easy Sum(p1, p2)', |
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296 | model_list, plug_dir) |
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297 | self.put_icon(textdial) |
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298 | textdial.ShowModal() |
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299 | textdial.Destroy() |
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300 | |
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301 | def make_new_model(self, event): |
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302 | """ |
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303 | Make new model |
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304 | """ |
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305 | if self.new_model_frame != None and self.new_model_frame.IsShown(): |
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306 | self.new_model_frame.Show(False) |
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307 | else: |
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308 | id = event.GetId() |
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309 | dir_path = models.find_plugins_dir() |
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310 | title = "New Custom Model Function" |
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311 | self.new_model_frame = EditorWindow(parent=self, base=self, |
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312 | path=dir_path, title=title) |
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313 | self.put_icon(self.new_model_frame) |
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314 | self.new_model_frame.Show(True) |
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315 | |
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316 | def update_custom_combo(self): |
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317 | """ |
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318 | Update custom model list in the fitpage combo box |
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319 | """ |
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320 | try: |
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321 | # Update edit menus |
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322 | self.set_edit_menu_helper(self.parent, self.edit_custom_model) |
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323 | self.set_edit_menu_helper(self.parent, self.delete_custom_model) |
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324 | temp = self.fit_panel.reset_pmodel_list() |
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325 | if temp: |
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326 | # Set the new custom model list for all fit pages |
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327 | for uid, page in self.fit_panel.opened_pages.iteritems(): |
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328 | if hasattr(page, "formfactorbox"): |
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329 | page.model_list_box = temp |
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330 | current_val = page.formfactorbox.GetLabel() |
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331 | #pos = page.formfactorbox.GetSelection() |
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332 | page._show_combox_helper() |
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333 | new_val = page.formfactorbox.GetLabel() |
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334 | if current_val != new_val and new_val != '': |
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335 | page.formfactorbox.SetLabel(new_val) |
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336 | else: |
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337 | page.formfactorbox.SetLabel(current_val) |
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338 | except: |
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339 | pass |
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340 | |
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341 | |
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342 | def set_edit_menu(self, owner): |
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343 | """ |
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344 | Set list of the edit model menu labels |
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345 | """ |
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346 | id = wx.NewId() |
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347 | #new_model_menu = wx.Menu() |
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348 | self.edit_model_menu.Append(id, 'New', |
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349 | 'Add a new model function') |
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350 | wx.EVT_MENU(owner, id, self.make_new_model) |
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351 | id = wx.NewId() |
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352 | self.edit_model_menu.Append(id, 'Sum(p1, p2)', |
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353 | 'Sum of two model functions') |
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354 | wx.EVT_MENU(owner, id, self.make_sum_model) |
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355 | e_id = wx.NewId() |
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356 | self.edit_menu = wx.Menu() |
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357 | self.edit_model_menu.AppendMenu(e_id, |
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358 | 'Advanced', self.edit_menu) |
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359 | self.set_edit_menu_helper(owner, self.edit_custom_model) |
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360 | |
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361 | d_id = wx.NewId() |
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362 | self.delete_menu = wx.Menu() |
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363 | self.edit_model_menu.AppendMenu(d_id, |
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364 | 'Delete', self.delete_menu) |
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365 | self.set_edit_menu_helper(owner, self.delete_custom_model) |
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366 | |
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367 | def set_edit_menu_helper(self, owner=None, menu=None): |
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368 | """ |
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369 | help for setting list of the edit model menu labels |
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370 | """ |
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371 | if menu == None: |
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372 | menu = self.edit_custom_model |
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373 | list_fnames = os.listdir(models.find_plugins_dir()) |
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374 | list_fnames.sort() |
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375 | for f_item in list_fnames: |
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376 | name = os.path.basename(f_item) |
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377 | toks = os.path.splitext(name) |
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378 | if toks[-1] == '.py' and not toks[0] == '__init__': |
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379 | if menu == self.edit_custom_model: |
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380 | if toks[0] == 'easy_sum_of_p1_p2': |
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381 | continue |
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382 | submenu = self.edit_menu |
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383 | else: |
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384 | submenu = self.delete_menu |
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385 | has_file = False |
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386 | for item in submenu.GetMenuItems(): |
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387 | if name == submenu.GetLabel(item.GetId()): |
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388 | has_file = True |
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389 | if not has_file: |
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390 | id = wx.NewId() |
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391 | submenu.Append(id, name) |
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392 | wx.EVT_MENU(owner, id, menu) |
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393 | has_file = False |
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394 | |
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395 | def put_icon(self, frame): |
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396 | """ |
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397 | Put icon in the frame title bar |
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398 | """ |
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399 | if hasattr(frame, "IsIconized"): |
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400 | if not frame.IsIconized(): |
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401 | try: |
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402 | icon = self.parent.GetIcon() |
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403 | frame.SetIcon(icon) |
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404 | except: |
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405 | pass |
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406 | |
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407 | def on_add_sim_page(self, event): |
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408 | """ |
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409 | Create a page to access simultaneous fit option |
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410 | """ |
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411 | id = event.GetId() |
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412 | caption = "Simultaneous Fit" |
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413 | page = self.sim_page |
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414 | if id == self.id_batchfit: |
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415 | caption = "Combined Batch" |
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416 | page = self.batch_page |
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417 | |
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418 | def set_focus_page(page): |
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419 | page.Show(True) |
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420 | page.Refresh() |
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421 | page.SetFocus() |
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422 | self.parent._mgr.Update() |
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423 | msg = "%s already opened\n" % str(page.window_caption) |
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424 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
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425 | |
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426 | if page != None: |
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427 | return set_focus_page(page) |
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428 | if caption == "Simultaneous Fit": |
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429 | self.sim_page = self.fit_panel.add_sim_page(caption=caption) |
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430 | else: |
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431 | self.batch_page = self.fit_panel.add_sim_page(caption=caption) |
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432 | |
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433 | def help(self, evt): |
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434 | """ |
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435 | Show a general help dialog. |
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436 | """ |
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437 | from help_panel import HelpWindow |
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438 | frame = HelpWindow(None, -1, 'HelpWindow') |
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439 | if hasattr(frame, "IsIconized"): |
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440 | if not frame.IsIconized(): |
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441 | try: |
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442 | icon = self.parent.GetIcon() |
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443 | frame.SetIcon(icon) |
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444 | except: |
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445 | pass |
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446 | frame.Show(True) |
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447 | |
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448 | def get_context_menu(self, plotpanel=None): |
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449 | """ |
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450 | Get the context menu items available for P(r).them allow fitting option |
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451 | for Data2D and Data1D only. |
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452 | |
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453 | :param graph: the Graph object to which we attach the context menu |
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454 | |
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455 | :return: a list of menu items with call-back function |
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456 | |
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457 | :note: if Data1D was generated from Theory1D |
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458 | the fitting option is not allowed |
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459 | |
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460 | """ |
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461 | graph = plotpanel.graph |
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462 | fit_option = "Select data for fitting" |
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463 | fit_hint = "Dialog with fitting parameters " |
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464 | |
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465 | if graph.selected_plottable not in plotpanel.plots: |
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466 | return [] |
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467 | item = plotpanel.plots[graph.selected_plottable] |
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468 | if item.__class__.__name__ is "Data2D": |
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469 | if hasattr(item, "is_data"): |
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470 | if item.is_data: |
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471 | return [[fit_option, fit_hint, self._onSelect]] |
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472 | else: |
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473 | return [] |
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474 | return [[fit_option, fit_hint, self._onSelect]] |
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475 | else: |
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476 | |
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477 | # if is_data is true , this in an actual data loaded |
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478 | #else it is a data created from a theory model |
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479 | if hasattr(item, "is_data"): |
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480 | if item.is_data: |
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481 | return [[fit_option, fit_hint, self._onSelect]] |
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482 | else: |
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483 | return [] |
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484 | return [] |
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485 | |
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486 | def get_panels(self, parent): |
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487 | """ |
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488 | Create and return a list of panel objects |
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489 | """ |
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490 | self.parent = parent |
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491 | #self.parent.Bind(EVT_FITSTATE_UPDATE, self.on_set_state_helper) |
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492 | # Creation of the fit panel |
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493 | self.fit_panel = FitPanel(parent=self.parent, manager=self) |
---|
494 | self.on_add_new_page(event=None) |
---|
495 | #Set the manager for the main panel |
---|
496 | self.fit_panel.set_manager(self) |
---|
497 | # List of windows used for the perspective |
---|
498 | self.perspective = [] |
---|
499 | self.perspective.append(self.fit_panel.window_name) |
---|
500 | |
---|
501 | #index number to create random model name |
---|
502 | self.index_model = 0 |
---|
503 | self.index_theory = 0 |
---|
504 | self.parent.Bind(EVT_SLICER_PANEL, self._on_slicer_event) |
---|
505 | self.parent.Bind(EVT_SLICER_PARS_UPDATE, self._onEVT_SLICER_PANEL) |
---|
506 | self.parent._mgr.Bind(wx.aui.EVT_AUI_PANE_CLOSE,self._onclearslicer) |
---|
507 | #Create reader when fitting panel are created |
---|
508 | self.state_reader = Reader(self.set_state) |
---|
509 | #append that reader to list of available reader |
---|
510 | loader = Loader() |
---|
511 | loader.associate_file_reader(".fitv", self.state_reader) |
---|
512 | #Send the fitting panel to guiframe |
---|
513 | self.mypanels.append(self.fit_panel) |
---|
514 | return self.mypanels |
---|
515 | |
---|
516 | def clear_panel(self): |
---|
517 | """ |
---|
518 | """ |
---|
519 | self.fit_panel.clear_panel() |
---|
520 | |
---|
521 | def set_default_perspective(self): |
---|
522 | """ |
---|
523 | Call back method that True to notify the parent that the current plug-in |
---|
524 | can be set as default perspective. |
---|
525 | when returning False, the plug-in is not candidate for an automatic |
---|
526 | default perspective setting |
---|
527 | """ |
---|
528 | return True |
---|
529 | |
---|
530 | def delete_data(self, data): |
---|
531 | """ |
---|
532 | delete the given data from panel |
---|
533 | """ |
---|
534 | self.fit_panel.delete_data(data) |
---|
535 | |
---|
536 | def set_data(self, data_list=None): |
---|
537 | """ |
---|
538 | receive a list of data to fit |
---|
539 | """ |
---|
540 | if data_list is None: |
---|
541 | data_list = [] |
---|
542 | selected_data_list = [] |
---|
543 | if self.batch_on: |
---|
544 | page = self.add_fit_page(data=data_list) |
---|
545 | else: |
---|
546 | if len(data_list) > MAX_NBR_DATA: |
---|
547 | from fitting_widgets import DataDialog |
---|
548 | dlg = DataDialog(data_list=data_list, nb_data=MAX_NBR_DATA) |
---|
549 | if dlg.ShowModal() == wx.ID_OK: |
---|
550 | selected_data_list = dlg.get_data() |
---|
551 | dlg.Destroy() |
---|
552 | |
---|
553 | else: |
---|
554 | selected_data_list = data_list |
---|
555 | try: |
---|
556 | group_id = wx.NewId() |
---|
557 | for data in selected_data_list: |
---|
558 | if data is not None: |
---|
559 | # 2D has no same group_id |
---|
560 | if data.__class__.__name__ == 'Data2D': |
---|
561 | group_id = wx.NewId() |
---|
562 | data.group_id = group_id |
---|
563 | if group_id not in data.list_group_id: |
---|
564 | data.list_group_id.append(group_id) |
---|
565 | page = self.add_fit_page(data=[data]) |
---|
566 | except: |
---|
567 | msg = "Fitting Set_data: " + str(sys.exc_value) |
---|
568 | wx.PostEvent(self.parent, StatusEvent(status=msg, info="error")) |
---|
569 | |
---|
570 | def set_top_panel(self): |
---|
571 | """ |
---|
572 | Close default (welcome) panel |
---|
573 | """ |
---|
574 | if 'default' in self.parent.panels: |
---|
575 | self.parent.on_close_welcome_panel() |
---|
576 | |
---|
577 | |
---|
578 | def set_theory(self, theory_list=None): |
---|
579 | """ |
---|
580 | """ |
---|
581 | #set the model state for a given theory_state: |
---|
582 | for item in theory_list: |
---|
583 | try: |
---|
584 | _, theory_state = item |
---|
585 | self.fit_panel.set_model_state(theory_state) |
---|
586 | except: |
---|
587 | msg = "Fitting: cannot deal with the theory received" |
---|
588 | logging.error("set_theory " + msg + "\n" + str(sys.exc_value)) |
---|
589 | wx.PostEvent(self.parent, |
---|
590 | StatusEvent(status=msg, info="error")) |
---|
591 | |
---|
592 | def set_state(self, state=None, datainfo=None, format=None): |
---|
593 | """ |
---|
594 | Call-back method for the fit page state reader. |
---|
595 | This method is called when a .fitv/.svs file is loaded. |
---|
596 | |
---|
597 | : param state: PageState object |
---|
598 | : param datainfo: data |
---|
599 | """ |
---|
600 | #state = self.state_reader.get_state() |
---|
601 | if state != None: |
---|
602 | state = state.clone() |
---|
603 | # store fitting state in temp_state |
---|
604 | self.temp_state.append(state) |
---|
605 | else: |
---|
606 | self.temp_state = [] |
---|
607 | # index to start with for a new set_state |
---|
608 | self.state_index = 0 |
---|
609 | # state file format |
---|
610 | self.sfile_ext = format |
---|
611 | |
---|
612 | self.on_set_state_helper(event=None) |
---|
613 | |
---|
614 | def on_set_state_helper(self, event=None): |
---|
615 | """ |
---|
616 | Set_state_helper. This actually sets state |
---|
617 | after plotting data from state file. |
---|
618 | |
---|
619 | : event: FitStateUpdateEvent called |
---|
620 | by dataloader.plot_data from guiframe |
---|
621 | """ |
---|
622 | if len(self.temp_state) == 0: |
---|
623 | if self.state_index == 0 and len(self.mypanels) <= 0 \ |
---|
624 | and self.sfile_ext == '.svs': |
---|
625 | #TODO: Why was the following line left in the code |
---|
626 | # if add_default_pages doesn't exist? |
---|
627 | try: |
---|
628 | self.fit_panel.add_default_pages() |
---|
629 | except: |
---|
630 | print sys.exc_value |
---|
631 | self.temp_state = [] |
---|
632 | self.state_index = 0 |
---|
633 | return |
---|
634 | |
---|
635 | try: |
---|
636 | # Load fitting state |
---|
637 | state = self.temp_state[self.state_index] |
---|
638 | #panel state should have model selection to set_state |
---|
639 | if state.formfactorcombobox != None: |
---|
640 | #set state |
---|
641 | data = self.parent.create_gui_data(state.data) |
---|
642 | data.group_id = state.data.group_id |
---|
643 | self.parent.add_data(data_list={data.id: data}) |
---|
644 | wx.PostEvent(self.parent, NewPlotEvent(plot=data, |
---|
645 | title=data.title)) |
---|
646 | #need to be fix later make sure we are sendind guiframe.data |
---|
647 | #to panel |
---|
648 | state.data = data |
---|
649 | page = self.fit_panel.set_state(state) |
---|
650 | else: |
---|
651 | #just set data because set_state won't work |
---|
652 | data = self.parent.create_gui_data(state.data) |
---|
653 | data.group_id = state.data.group_id |
---|
654 | self.parent.add_data(data_list={data.id: data}) |
---|
655 | wx.PostEvent(self.parent, NewPlotEvent(plot=data, |
---|
656 | title=data.title)) |
---|
657 | page = self.add_fit_page([data]) |
---|
658 | caption = page.window_caption |
---|
659 | self.store_data(uid=page.uid, data_list=page.get_data_list(), |
---|
660 | caption=caption) |
---|
661 | self.mypanels.append(page) |
---|
662 | |
---|
663 | # get ready for the next set_state |
---|
664 | self.state_index += 1 |
---|
665 | |
---|
666 | #reset state variables to default when all set_state is finished. |
---|
667 | if len(self.temp_state) == self.state_index: |
---|
668 | |
---|
669 | self.temp_state = [] |
---|
670 | #self.state_index = 0 |
---|
671 | # Make sure the user sees the fitting panel after loading |
---|
672 | #self.parent.set_perspective(self.perspective) |
---|
673 | self.on_perspective(event=None) |
---|
674 | except: |
---|
675 | self.state_index = 0 |
---|
676 | self.temp_state = [] |
---|
677 | raise |
---|
678 | |
---|
679 | def set_param2fit(self, uid, param2fit): |
---|
680 | """ |
---|
681 | Set the list of param names to fit for fitprobelm |
---|
682 | """ |
---|
683 | self.page_finder[uid].set_param2fit(param2fit) |
---|
684 | |
---|
685 | def set_graph_id(self, uid, graph_id): |
---|
686 | """ |
---|
687 | Set graph_id for fitprobelm |
---|
688 | """ |
---|
689 | self.page_finder[uid].set_graph_id(graph_id) |
---|
690 | |
---|
691 | def get_graph_id(self, uid): |
---|
692 | """ |
---|
693 | Set graph_id for fitprobelm |
---|
694 | """ |
---|
695 | return self.page_finder[uid].get_graph_id() |
---|
696 | |
---|
697 | def save_fit_state(self, filepath, fitstate): |
---|
698 | """ |
---|
699 | save fit page state into file |
---|
700 | """ |
---|
701 | self.state_reader.write(filename=filepath, fitstate=fitstate) |
---|
702 | |
---|
703 | def set_fit_weight(self, uid, flag, is2d=False, fid=None): |
---|
704 | """ |
---|
705 | Set the fit weights of a given page for all |
---|
706 | its data by default. If fid is provide then set the range |
---|
707 | only for the data with fid as id |
---|
708 | :param uid: id corresponding to a fit page |
---|
709 | :param fid: id corresponding to a fit problem (data, model) |
---|
710 | :param weight: current dy data |
---|
711 | """ |
---|
712 | if uid in self.page_finder.keys(): |
---|
713 | self.page_finder[uid].set_weight(flag=flag, is2d=is2d) |
---|
714 | |
---|
715 | def set_fit_range(self, uid, qmin, qmax, fid=None): |
---|
716 | """ |
---|
717 | Set the fitting range of a given page for all |
---|
718 | its data by default. If fid is provide then set the range |
---|
719 | only for the data with fid as id |
---|
720 | :param uid: id corresponding to a fit page |
---|
721 | :param fid: id corresponding to a fit problem (data, model) |
---|
722 | :param qmin: minimum value of the fit range |
---|
723 | :param qmax: maximum value of the fit range |
---|
724 | """ |
---|
725 | if uid in self.page_finder.keys(): |
---|
726 | self.page_finder[uid].set_range(qmin=qmin, qmax=qmax, fid=fid) |
---|
727 | |
---|
728 | def schedule_for_fit(self, value=0, uid=None): |
---|
729 | """ |
---|
730 | Set the fit problem field to 0 or 1 to schedule that problem to fit. |
---|
731 | Schedule the specified fitproblem or get the fit problem related to |
---|
732 | the current page and set value. |
---|
733 | :param value: integer 0 or 1 |
---|
734 | :param uid: the id related to a page contaning fitting information |
---|
735 | """ |
---|
736 | if uid in self.page_finder.keys(): |
---|
737 | self.page_finder[uid].schedule_tofit(value) |
---|
738 | |
---|
739 | def get_page_finder(self): |
---|
740 | """ |
---|
741 | return self.page_finder used also by simfitpage.py |
---|
742 | """ |
---|
743 | return self.page_finder |
---|
744 | |
---|
745 | def set_page_finder(self, modelname, names, values): |
---|
746 | """ |
---|
747 | Used by simfitpage.py to reset a parameter given the string constrainst. |
---|
748 | |
---|
749 | :param modelname: the name ot the model for with the parameter |
---|
750 | has to reset |
---|
751 | :param value: can be a string in this case. |
---|
752 | :param names: the paramter name |
---|
753 | |
---|
754 | :note: expecting park used for fit. |
---|
755 | |
---|
756 | """ |
---|
757 | sim_page_id = self.sim_page.uid |
---|
758 | for uid, value in self.page_finder.iteritems(): |
---|
759 | if uid != sim_page_id and uid != self.batch_page.uid: |
---|
760 | list = value.get_model() |
---|
761 | model = list[0] |
---|
762 | if model.name == modelname: |
---|
763 | value.set_model_param(names, values) |
---|
764 | break |
---|
765 | |
---|
766 | def split_string(self, item): |
---|
767 | """ |
---|
768 | receive a word containing dot and split it. used to split parameterset |
---|
769 | name into model name and parameter name example: :: |
---|
770 | |
---|
771 | paramaterset (item) = M1.A |
---|
772 | Will return model_name = M1 , parameter name = A |
---|
773 | |
---|
774 | """ |
---|
775 | if item.find(".") >= 0: |
---|
776 | param_names = re.split("\.", item) |
---|
777 | model_name = param_names[0] |
---|
778 | ##Assume max len is 3; eg., M0.radius.width |
---|
779 | if len(param_names) == 3: |
---|
780 | param_name = param_names[1] + "." + param_names[2] |
---|
781 | else: |
---|
782 | param_name = param_names[1] |
---|
783 | return model_name, param_name |
---|
784 | |
---|
785 | def set_ftol(self, ftol=None): |
---|
786 | """ |
---|
787 | Set ftol: Relative error desired in the sum of chi squares. |
---|
788 | """ |
---|
789 | # check if it is flaot |
---|
790 | try: |
---|
791 | f_tol = float(ftol) |
---|
792 | except: |
---|
793 | # default |
---|
794 | f_tol = SANS_F_TOL |
---|
795 | |
---|
796 | self.ftol = f_tol |
---|
797 | # update ftol menu help strings |
---|
798 | ftol_help = "Change the current FTolerance (=%s) " % str(self.ftol) |
---|
799 | ftol_help += "of Simple FitEngine..." |
---|
800 | if self.menu1 != None: |
---|
801 | self.menu1.SetHelpString(self.id_tol, ftol_help) |
---|
802 | |
---|
803 | def show_ftol_dialog(self, event=None): |
---|
804 | """ |
---|
805 | Dialog to select ftol for Scipy |
---|
806 | """ |
---|
807 | #if event != None: |
---|
808 | # event.Skip() |
---|
809 | from ftol_dialog import ChangeFtol |
---|
810 | panel = ChangeFtol(self.parent, self) |
---|
811 | panel.ShowModal() |
---|
812 | |
---|
813 | def stop_fit(self, uid): |
---|
814 | """ |
---|
815 | Stop the fit engine |
---|
816 | """ |
---|
817 | if uid in self.fit_thread_list.keys(): |
---|
818 | calc_fit = self.fit_thread_list[uid] |
---|
819 | if calc_fit is not None and calc_fit.isrunning(): |
---|
820 | calc_fit.stop() |
---|
821 | msg = "Fit stop!" |
---|
822 | wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop")) |
---|
823 | del self.fit_thread_list[uid] |
---|
824 | #set the fit button label of page when fit stop is trigger from |
---|
825 | #simultaneous fit pane |
---|
826 | sim_flag = self.sim_page is not None and uid == self.sim_page.uid |
---|
827 | batch_flag = self.batch_page is not None and uid == self.batch_page.uid |
---|
828 | if sim_flag or batch_flag: |
---|
829 | for uid, value in self.page_finder.iteritems(): |
---|
830 | if value.get_scheduled() == 1: |
---|
831 | if uid in self.fit_panel.opened_pages.keys(): |
---|
832 | panel = self.fit_panel.opened_pages[uid] |
---|
833 | panel._on_fit_complete() |
---|
834 | |
---|
835 | def set_smearer(self, uid, smearer, fid, qmin=None, qmax=None, draw=True, |
---|
836 | enable_smearer=False): |
---|
837 | """ |
---|
838 | Get a smear object and store it to a fit problem of fid as id. If proper |
---|
839 | flag is enable , will plot the theory with smearing information. |
---|
840 | |
---|
841 | :param smearer: smear object to allow smearing data of id fid |
---|
842 | :param enable_smearer: Define whether or not all (data, model) contained |
---|
843 | in the structure of id uid will be smeared before fitting. |
---|
844 | :param qmin: the maximum value of the theory plotting range |
---|
845 | :param qmax: the maximum value of the theory plotting range |
---|
846 | :param draw: Determine if the theory needs to be plot |
---|
847 | """ |
---|
848 | if uid not in self.page_finder.keys(): |
---|
849 | return |
---|
850 | self.page_finder[uid].enable_smearing(flag=enable_smearer) |
---|
851 | self.page_finder[uid].set_smearer(smearer, fid=fid) |
---|
852 | if draw: |
---|
853 | ## draw model 1D with smeared data |
---|
854 | data = self.page_finder[uid].get_fit_data(fid=fid) |
---|
855 | if data is None: |
---|
856 | msg = "set_mearer requires at least data.\n" |
---|
857 | msg += "Got data = %s .\n" % str(data) |
---|
858 | return |
---|
859 | #raise ValueError, msg |
---|
860 | model = self.page_finder[uid].get_model(fid=fid) |
---|
861 | if model is None: |
---|
862 | return |
---|
863 | enable1D = issubclass(data.__class__, Data1D) |
---|
864 | enable2D = issubclass(data.__class__, Data2D) |
---|
865 | ## if user has already selected a model to plot |
---|
866 | ## redraw the model with data smeared |
---|
867 | smear = self.page_finder[uid].get_smearer(fid=fid) |
---|
868 | |
---|
869 | # compute weight for the current data |
---|
870 | weight = self.page_finder[uid].get_weight(fid=fid) |
---|
871 | |
---|
872 | self.draw_model(model=model, data=data, page_id=uid, smearer=smear, |
---|
873 | enable1D=enable1D, enable2D=enable2D, |
---|
874 | qmin=qmin, qmax=qmax, weight=weight) |
---|
875 | self._mac_sleep(0.2) |
---|
876 | |
---|
877 | def _mac_sleep(self, sec=0.2): |
---|
878 | """ |
---|
879 | Give sleep to MAC |
---|
880 | """ |
---|
881 | if ON_MAC: |
---|
882 | time.sleep(sec) |
---|
883 | |
---|
884 | def draw_model(self, model, page_id, data=None, smearer=None, |
---|
885 | enable1D=True, enable2D=False, |
---|
886 | state=None, |
---|
887 | fid=None, |
---|
888 | toggle_mode_on=False, |
---|
889 | qmin=None, qmax=None, |
---|
890 | update_chisqr=True, weight=None, source='model'): |
---|
891 | """ |
---|
892 | Draw model. |
---|
893 | |
---|
894 | :param model: the model to draw |
---|
895 | :param name: the name of the model to draw |
---|
896 | :param data: the data on which the model is based to be drawn |
---|
897 | :param description: model's description |
---|
898 | :param enable1D: if true enable drawing model 1D |
---|
899 | :param enable2D: if true enable drawing model 2D |
---|
900 | :param qmin: Range's minimum value to draw model |
---|
901 | :param qmax: Range's maximum value to draw model |
---|
902 | :param qstep: number of step to divide the x and y-axis |
---|
903 | :param update_chisqr: update chisqr [bool] |
---|
904 | |
---|
905 | """ |
---|
906 | #self.weight = weight |
---|
907 | if issubclass(data.__class__, Data1D) or not enable2D: |
---|
908 | ## draw model 1D with no loaded data |
---|
909 | self._draw_model1D(model=model, |
---|
910 | data=data, |
---|
911 | page_id=page_id, |
---|
912 | enable1D=enable1D, |
---|
913 | smearer=smearer, |
---|
914 | qmin=qmin, |
---|
915 | qmax=qmax, |
---|
916 | fid=fid, |
---|
917 | weight=weight, |
---|
918 | toggle_mode_on=toggle_mode_on, |
---|
919 | state=state, |
---|
920 | update_chisqr=update_chisqr, |
---|
921 | source=source) |
---|
922 | else: |
---|
923 | ## draw model 2D with no initial data |
---|
924 | self._draw_model2D(model=model, |
---|
925 | page_id=page_id, |
---|
926 | data=data, |
---|
927 | enable2D=enable2D, |
---|
928 | smearer=smearer, |
---|
929 | qmin=qmin, |
---|
930 | qmax=qmax, |
---|
931 | fid=fid, |
---|
932 | weight=weight, |
---|
933 | state=state, |
---|
934 | toggle_mode_on=toggle_mode_on, |
---|
935 | update_chisqr=update_chisqr, |
---|
936 | source=source) |
---|
937 | |
---|
938 | def onFit(self, uid): |
---|
939 | """ |
---|
940 | Get series of data, model, associates parameters and range and send then |
---|
941 | to series of fit engines. Fit data and model, display result to |
---|
942 | corresponding panels. |
---|
943 | :param uid: id related to the panel currently calling this fit function. |
---|
944 | """ |
---|
945 | flag = True |
---|
946 | ## count the number of fitproblem schedule to fit |
---|
947 | fitproblem_count = 0 |
---|
948 | for value in self.page_finder.values(): |
---|
949 | if value.get_scheduled() == 1: |
---|
950 | fitproblem_count += 1 |
---|
951 | self._gui_engine = self._return_engine_type() |
---|
952 | self.fitproblem_count = fitproblem_count |
---|
953 | if self._fit_engine == "park": |
---|
954 | engineType = "Simultaneous Fit" |
---|
955 | else: |
---|
956 | engineType = "Single Fit" |
---|
957 | fitter_list = [] |
---|
958 | sim_fitter = None |
---|
959 | is_single_fit = True |
---|
960 | batch_on = False |
---|
961 | if self.sim_page is not None and self.sim_page.uid == uid: |
---|
962 | #simulatanous fit only one engine need to be created |
---|
963 | ## if simultaneous fit change automatically the engine to park |
---|
964 | self._on_change_engine(engine='park') |
---|
965 | sim_fitter = Fit(self._fit_engine) |
---|
966 | sim_fitter.fitter_id = self.sim_page.uid |
---|
967 | fitter_list.append(sim_fitter) |
---|
968 | is_single_fit = False |
---|
969 | batch_on = self.sim_page.batch_on |
---|
970 | |
---|
971 | self.fitproblem_count = fitproblem_count |
---|
972 | if self._fit_engine == "park": |
---|
973 | engineType = "Simultaneous Fit" |
---|
974 | else: |
---|
975 | engineType = "Single Fit" |
---|
976 | |
---|
977 | self.current_pg = None |
---|
978 | list_page_id = [] |
---|
979 | fit_id = 0 |
---|
980 | batch_inputs = {} |
---|
981 | batch_outputs = {} |
---|
982 | for page_id, value in self.page_finder.iteritems(): |
---|
983 | # For simulfit (uid give with None), do for-loop |
---|
984 | # if uid is specified (singlefit), do it only on the page. |
---|
985 | if engineType == "Single Fit": |
---|
986 | #combine more than 1 batch page on single mode |
---|
987 | if self.batch_page is None or self.batch_page.uid != uid: |
---|
988 | if page_id != uid: |
---|
989 | continue |
---|
990 | try: |
---|
991 | if value.get_scheduled() == 1: |
---|
992 | value.nbr_residuals_computed = 0 |
---|
993 | #Get list of parameters name to fit |
---|
994 | pars = [] |
---|
995 | templist = [] |
---|
996 | page = self.fit_panel.get_page_by_id(page_id) |
---|
997 | self.set_fit_weight(uid=page.uid, |
---|
998 | flag=page.get_weight_flag(), |
---|
999 | is2d=page._is_2D()) |
---|
1000 | templist = page.get_param_list() |
---|
1001 | flag = page._update_paramv_on_fit() |
---|
1002 | if not flag: |
---|
1003 | msg = "Fitting range or parameter values are" |
---|
1004 | msg += " invalid in %s" % \ |
---|
1005 | page.window_caption |
---|
1006 | wx.PostEvent(page.parent.parent, |
---|
1007 | StatusEvent(status=msg, info="error", |
---|
1008 | type="stop")) |
---|
1009 | return flag |
---|
1010 | for element in templist: |
---|
1011 | name = str(element[1]) |
---|
1012 | pars.append(name) |
---|
1013 | fitproblem_list = value.values() |
---|
1014 | for fitproblem in fitproblem_list: |
---|
1015 | if sim_fitter is None: |
---|
1016 | fitter = Fit(self._fit_engine) |
---|
1017 | fitter.fitter_id = page_id |
---|
1018 | self._fit_helper(fitproblem=fitproblem, |
---|
1019 | pars=pars, |
---|
1020 | fitter=fitter, |
---|
1021 | fit_id=fit_id, |
---|
1022 | batch_inputs=batch_inputs, |
---|
1023 | batch_outputs=batch_outputs) |
---|
1024 | fitter_list.append(fitter) |
---|
1025 | else: |
---|
1026 | fitter = sim_fitter |
---|
1027 | self._fit_helper(fitproblem=fitproblem, |
---|
1028 | pars=pars, |
---|
1029 | fitter=fitter, |
---|
1030 | fit_id=fit_id, |
---|
1031 | batch_inputs=batch_inputs, |
---|
1032 | batch_outputs=batch_outputs) |
---|
1033 | fit_id += 1 |
---|
1034 | list_page_id.append(page_id) |
---|
1035 | current_page_id = page_id |
---|
1036 | value.clear_model_param() |
---|
1037 | except: |
---|
1038 | flag = False |
---|
1039 | msg = "%s error: %s" % (engineType, sys.exc_value) |
---|
1040 | wx.PostEvent(self.parent, StatusEvent(status=msg, info="error", |
---|
1041 | type="stop")) |
---|
1042 | return flag |
---|
1043 | ## If a thread is already started, stop it |
---|
1044 | #if self.calc_fit!= None and self.calc_fit.isrunning(): |
---|
1045 | # self.calc_fit.stop() |
---|
1046 | msg = "Fitting is in progress..." |
---|
1047 | wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress")) |
---|
1048 | |
---|
1049 | #Handler used for park engine displayed message |
---|
1050 | handler = ConsoleUpdate(parent=self.parent, |
---|
1051 | manager=self, |
---|
1052 | improvement_delta=0.1) |
---|
1053 | self._mac_sleep(0.2) |
---|
1054 | ## perform single fit |
---|
1055 | try: |
---|
1056 | page = self.fit_panel.get_page_by_id(uid) |
---|
1057 | batch_on = page.batch_on |
---|
1058 | except: |
---|
1059 | try: |
---|
1060 | #if the id cannot be found then we deal with a self.sim_page |
---|
1061 | #or a self.batch_page |
---|
1062 | if self.sim_page is not None and uid == self.sim_page.uid: |
---|
1063 | batch_on = self.sim_page.batch_on |
---|
1064 | if self.batch_page is not None and uid == self.batch_page.uid: |
---|
1065 | batch_on = self.batch_page.batch_on |
---|
1066 | except: |
---|
1067 | batch_on = False |
---|
1068 | |
---|
1069 | # batch fit |
---|
1070 | if batch_on: |
---|
1071 | calc_fit = FitThread(handler=handler, |
---|
1072 | fn=fitter_list, |
---|
1073 | pars=pars, |
---|
1074 | batch_inputs=batch_inputs, |
---|
1075 | batch_outputs=batch_outputs, |
---|
1076 | page_id=list_page_id, |
---|
1077 | completefn=self._batch_fit_complete, |
---|
1078 | ftol=self.ftol, |
---|
1079 | reset_flag=self.batch_reset_flag) |
---|
1080 | else: |
---|
1081 | # single fit: not batch and not simul fit |
---|
1082 | if not is_single_fit: |
---|
1083 | current_page_id = self.sim_page.uid |
---|
1084 | ## Perform more than 1 fit at the time |
---|
1085 | calc_fit = FitThread(handler=handler, |
---|
1086 | fn=fitter_list, |
---|
1087 | batch_inputs=batch_inputs, |
---|
1088 | batch_outputs=batch_outputs, |
---|
1089 | page_id=list_page_id, |
---|
1090 | updatefn=handler.update_fit, |
---|
1091 | completefn=self._fit_completed, |
---|
1092 | ftol=self.ftol) |
---|
1093 | self.fit_thread_list[current_page_id] = calc_fit |
---|
1094 | calc_fit.queue() |
---|
1095 | msg = "Fitting is in progress..." |
---|
1096 | wx.PostEvent(self.parent, StatusEvent(status=msg, type="progress")) |
---|
1097 | |
---|
1098 | self.ready_fit(calc_fit=calc_fit) |
---|
1099 | return flag |
---|
1100 | |
---|
1101 | def ready_fit(self, calc_fit): |
---|
1102 | """ |
---|
1103 | Ready for another fit |
---|
1104 | """ |
---|
1105 | if self.fitproblem_count != None and self.fitproblem_count > 1: |
---|
1106 | calc_fit.ready(2.5) |
---|
1107 | else: |
---|
1108 | time.sleep(0.4) |
---|
1109 | |
---|
1110 | def remove_plot(self, uid, fid=None, theory=False): |
---|
1111 | """ |
---|
1112 | remove model plot when a fit page is closed |
---|
1113 | :param uid: the id related to the fitpage to close |
---|
1114 | :param fid: the id of the fitproblem(data, model, range,etc) |
---|
1115 | """ |
---|
1116 | if uid not in self.page_finder.keys(): |
---|
1117 | return |
---|
1118 | fitproblemList = self.page_finder[uid].get_fit_problem(fid) |
---|
1119 | for fitproblem in fitproblemList: |
---|
1120 | data = fitproblem.get_fit_data() |
---|
1121 | model = fitproblem.get_model() |
---|
1122 | plot_id = None |
---|
1123 | if model is not None: |
---|
1124 | plot_id = data.id + model.name |
---|
1125 | if theory: |
---|
1126 | plot_id = data.id + model.name |
---|
1127 | group_id = data.group_id |
---|
1128 | wx.PostEvent(self.parent, NewPlotEvent(id=plot_id, |
---|
1129 | group_id=group_id, |
---|
1130 | action='remove')) |
---|
1131 | |
---|
1132 | def store_data(self, uid, data_list=None, caption=None): |
---|
1133 | """ |
---|
1134 | Recieve a list of data and store them ans well as a caption of |
---|
1135 | the fit page where they come from. |
---|
1136 | :param uid: if related to a fit page |
---|
1137 | :param data_list: list of data to fit |
---|
1138 | :param caption: caption of the window related to these data |
---|
1139 | """ |
---|
1140 | if data_list is None: |
---|
1141 | data_list = [] |
---|
1142 | |
---|
1143 | self.page_finder[uid].set_fit_data(data=data_list) |
---|
1144 | if caption is not None: |
---|
1145 | self.page_finder[uid].set_fit_tab_caption(caption=caption) |
---|
1146 | |
---|
1147 | def on_add_new_page(self, event=None): |
---|
1148 | """ |
---|
1149 | ask fit panel to create a new empty page |
---|
1150 | """ |
---|
1151 | try: |
---|
1152 | page = self.fit_panel.add_empty_page() |
---|
1153 | # add data associated to the page created |
---|
1154 | if page != None: |
---|
1155 | wx.PostEvent(self.parent, StatusEvent(status="Page Created", |
---|
1156 | info="info")) |
---|
1157 | else: |
---|
1158 | msg = "Page was already Created" |
---|
1159 | wx.PostEvent(self.parent, StatusEvent(status=msg, |
---|
1160 | info="warning")) |
---|
1161 | self.set_top_panel() |
---|
1162 | except: |
---|
1163 | msg = "Creating Fit page: %s"%sys.exc_value |
---|
1164 | wx.PostEvent(self.parent, StatusEvent(status=msg, info="error")) |
---|
1165 | |
---|
1166 | def add_fit_page(self, data): |
---|
1167 | """ |
---|
1168 | given a data, ask to the fitting panel to create a new fitting page, |
---|
1169 | get this page and store it into the page_finder of this plug-in |
---|
1170 | :param data: is a list of data |
---|
1171 | """ |
---|
1172 | page = self.fit_panel.set_data(data) |
---|
1173 | # page could be None when loading state files |
---|
1174 | if page == None: |
---|
1175 | return page |
---|
1176 | #append Data1D to the panel containing its theory |
---|
1177 | #if theory already plotted |
---|
1178 | if page.uid in self.page_finder: |
---|
1179 | data = page.get_data() |
---|
1180 | theory_data = self.page_finder[page.uid].get_theory_data(data.id) |
---|
1181 | if issubclass(data.__class__, Data2D): |
---|
1182 | data.group_id = wx.NewId() |
---|
1183 | if theory_data is not None: |
---|
1184 | group_id = str(page.uid) + " Model1D" |
---|
1185 | wx.PostEvent(self.parent, |
---|
1186 | NewPlotEvent(group_id=group_id, |
---|
1187 | action="delete")) |
---|
1188 | self.parent.update_data(prev_data=theory_data, |
---|
1189 | new_data=data) |
---|
1190 | else: |
---|
1191 | if theory_data is not None: |
---|
1192 | group_id = str(page.uid) + " Model2D" |
---|
1193 | data.group_id = theory_data.group_id |
---|
1194 | wx.PostEvent(self.parent, |
---|
1195 | NewPlotEvent(group_id=group_id, |
---|
1196 | action="delete")) |
---|
1197 | self.parent.update_data(prev_data=theory_data, |
---|
1198 | new_data=data) |
---|
1199 | self.store_data(uid=page.uid, data_list=page.get_data_list(), |
---|
1200 | caption=page.window_caption) |
---|
1201 | if self.sim_page is not None and not self.batch_on: |
---|
1202 | self.sim_page.draw_page() |
---|
1203 | if self.batch_page is not None and self.batch_on: |
---|
1204 | self.batch_page.draw_page() |
---|
1205 | |
---|
1206 | return page |
---|
1207 | |
---|
1208 | def _onEVT_SLICER_PANEL(self, event): |
---|
1209 | """ |
---|
1210 | receive and event telling to update a panel with a name starting with |
---|
1211 | event.panel_name. this method update slicer panel |
---|
1212 | for a given interactor. |
---|
1213 | |
---|
1214 | :param event: contains type of slicer , paramaters for updating |
---|
1215 | the panel and panel_name to find the slicer 's panel concerned. |
---|
1216 | """ |
---|
1217 | for item in self.parent.panels: |
---|
1218 | name = event.panel_name |
---|
1219 | if self.parent.panels[item].window_caption.startswith(name): |
---|
1220 | self.parent.panels[item].set_slicer(event.type, event.params) |
---|
1221 | |
---|
1222 | self.parent._mgr.Update() |
---|
1223 | |
---|
1224 | def _closed_fitpage(self, event): |
---|
1225 | """ |
---|
1226 | request fitpanel to close a given page when its unique data is removed |
---|
1227 | from the plot. close fitpage only when the a loaded data is removed |
---|
1228 | """ |
---|
1229 | if event is None or event.data is None: |
---|
1230 | return |
---|
1231 | if hasattr(event.data, "is_data"): |
---|
1232 | if not event.data.is_data or \ |
---|
1233 | event.data.__class__.__name__ == "Data1D": |
---|
1234 | self.fit_panel.close_page_with_data(event.data) |
---|
1235 | |
---|
1236 | def _reset_schedule_problem(self, value=0, uid=None): |
---|
1237 | """ |
---|
1238 | unschedule or schedule all fitproblem to be fit |
---|
1239 | """ |
---|
1240 | # case that uid is not specified |
---|
1241 | if uid == None: |
---|
1242 | for page_id in self.page_finder.keys(): |
---|
1243 | self.page_finder[page_id].schedule_tofit(value) |
---|
1244 | # when uid is given |
---|
1245 | else: |
---|
1246 | if uid in self.page_finder.keys(): |
---|
1247 | self.page_finder[uid].schedule_tofit(value) |
---|
1248 | |
---|
1249 | def _fit_helper(self, fitproblem, pars, fitter, fit_id, |
---|
1250 | batch_inputs, batch_outputs): |
---|
1251 | """ |
---|
1252 | Create and set fit engine with series of data and model |
---|
1253 | :param pars: list of fittable parameters |
---|
1254 | :param fitter_list: list of fit engine |
---|
1255 | :param value: structure storing data mapped to their model, range etc. |
---|
1256 | """ |
---|
1257 | data = fitproblem.get_fit_data() |
---|
1258 | model = fitproblem.get_model() |
---|
1259 | smearer = fitproblem.get_smearer() |
---|
1260 | qmin, qmax = fitproblem.get_range() |
---|
1261 | |
---|
1262 | #Extra list of parameters and their constraints |
---|
1263 | listOfConstraint = [] |
---|
1264 | param = fitproblem.get_model_param() |
---|
1265 | if len(param) > 0: |
---|
1266 | for item in param: |
---|
1267 | ## check if constraint |
---|
1268 | if item[0] != None and item[1] != None: |
---|
1269 | listOfConstraint.append((item[0], item[1])) |
---|
1270 | new_model = model |
---|
1271 | fitter.set_model(new_model, fit_id, pars, data=data, |
---|
1272 | constraints=listOfConstraint) |
---|
1273 | fitter.set_data(data=data, id=fit_id, smearer=smearer, qmin=qmin, |
---|
1274 | qmax=qmax) |
---|
1275 | fitter.select_problem_for_fit(id=fit_id, value=1) |
---|
1276 | |
---|
1277 | def _onSelect(self, event): |
---|
1278 | """ |
---|
1279 | when Select data to fit a new page is created .Its reference is |
---|
1280 | added to self.page_finder |
---|
1281 | """ |
---|
1282 | self.panel = event.GetEventObject() |
---|
1283 | Plugin.on_perspective(self, event=event) |
---|
1284 | self.select_data(self.panel) |
---|
1285 | |
---|
1286 | def select_data(self, panel): |
---|
1287 | """ |
---|
1288 | """ |
---|
1289 | self.panel = panel |
---|
1290 | for plottable in self.panel.graph.plottables: |
---|
1291 | if plottable.__class__.__name__ in ["Data1D", "Theory1D"]: |
---|
1292 | data_id = self.panel.graph.selected_plottable |
---|
1293 | if plottable == self.panel.plots[data_id]: |
---|
1294 | data = plottable |
---|
1295 | self.add_fit_page(data=[data]) |
---|
1296 | return |
---|
1297 | else: |
---|
1298 | data = plottable |
---|
1299 | self.add_fit_page(data=[data]) |
---|
1300 | self.set_top_panel() |
---|
1301 | |
---|
1302 | def update_fit(self, result=None, msg=""): |
---|
1303 | """ |
---|
1304 | """ |
---|
1305 | print "update_fit result", result |
---|
1306 | |
---|
1307 | def _batch_fit_complete(self, result, pars, page_id, |
---|
1308 | batch_outputs, batch_inputs, elapsed=None): |
---|
1309 | """ |
---|
1310 | Display fit result in batch |
---|
1311 | :param result: list of objects received fromt fit engines |
---|
1312 | :param pars: list of fitted parameters names |
---|
1313 | :param page_id: list of page ids which called fit function |
---|
1314 | :param elapsed: time spent at the fitting level |
---|
1315 | """ |
---|
1316 | self._mac_sleep(0.2) |
---|
1317 | uid = page_id[0] |
---|
1318 | if uid in self.fit_thread_list.keys(): |
---|
1319 | del self.fit_thread_list[uid] |
---|
1320 | |
---|
1321 | self._update_fit_button(page_id) |
---|
1322 | t1 = time.time() |
---|
1323 | str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1)) |
---|
1324 | msg = "Fit completed on %s \n" % str_time |
---|
1325 | msg += "Duration time: %s s.\n" % str(elapsed) |
---|
1326 | wx.PostEvent(self.parent, StatusEvent(status=msg, info="info", |
---|
1327 | type="stop")) |
---|
1328 | |
---|
1329 | if batch_outputs is None: |
---|
1330 | batch_outputs = {} |
---|
1331 | |
---|
1332 | # format batch_outputs |
---|
1333 | batch_outputs["Chi2"] = [] |
---|
1334 | #Don't like these loops |
---|
1335 | # Need to create dictionary of all fitted parameters |
---|
1336 | # since the number of parameters can differ between each fit result |
---|
1337 | for list_res in result: |
---|
1338 | for res in list_res: |
---|
1339 | model, data = res.inputs[0] |
---|
1340 | if model is not None and hasattr(model, "model"): |
---|
1341 | model = model.model |
---|
1342 | #get all fittable parameters of the current model |
---|
1343 | for param in model.getParamList(): |
---|
1344 | if param not in batch_outputs.keys(): |
---|
1345 | batch_outputs[param] = [] |
---|
1346 | for param in model.getDispParamList(): |
---|
1347 | if not model.is_fittable(param) and \ |
---|
1348 | param in batch_outputs.keys(): |
---|
1349 | del batch_outputs[param] |
---|
1350 | # Add fitted parameters and their error |
---|
1351 | for param in res.param_list: |
---|
1352 | if param not in batch_outputs.keys(): |
---|
1353 | batch_outputs[param] = [] |
---|
1354 | err_param = "error on %s" % str(param) |
---|
1355 | if err_param not in batch_inputs.keys(): |
---|
1356 | batch_inputs[err_param] = [] |
---|
1357 | msg = "" |
---|
1358 | for list_res in result: |
---|
1359 | for res in list_res: |
---|
1360 | pid = res.fitter_id |
---|
1361 | model, data = res.inputs[0] |
---|
1362 | correct_result = False |
---|
1363 | if model is not None and hasattr(model, "model"): |
---|
1364 | model = model.model |
---|
1365 | if data is not None and hasattr(data, "sans_data"): |
---|
1366 | data = data.sans_data |
---|
1367 | |
---|
1368 | is_data2d = issubclass(data.__class__, Data2D) |
---|
1369 | #check consistency of arrays |
---|
1370 | if not is_data2d: |
---|
1371 | if len(res.theory) == len(res.index[res.index]) and \ |
---|
1372 | len(res.index) == len(data.y): |
---|
1373 | correct_result = True |
---|
1374 | else: |
---|
1375 | copy_data = deepcopy(data) |
---|
1376 | new_theory = copy_data.data |
---|
1377 | new_theory[res.index] = res.theory |
---|
1378 | new_theory[res.index == False] = numpy.nan |
---|
1379 | correct_result = True |
---|
1380 | #get all fittable parameters of the current model |
---|
1381 | param_list = model.getParamList() |
---|
1382 | for param in model.getDispParamList(): |
---|
1383 | if not model.is_fittable(param) and \ |
---|
1384 | param in param_list: |
---|
1385 | param_list.remove(param) |
---|
1386 | if not correct_result or res.fitness is None or \ |
---|
1387 | not numpy.isfinite(res.fitness) or \ |
---|
1388 | numpy.any(res.pvec == None) or not \ |
---|
1389 | numpy.all(numpy.isfinite(res.pvec)): |
---|
1390 | data_name = str(None) |
---|
1391 | if data is not None: |
---|
1392 | data_name = str(data.name) |
---|
1393 | model_name = str(None) |
---|
1394 | if model is not None: |
---|
1395 | model_name = str(model.name) |
---|
1396 | msg += "Data %s and Model %s did not fit.\n" % (data_name, |
---|
1397 | model_name) |
---|
1398 | ERROR = numpy.NAN |
---|
1399 | cell = BatchCell() |
---|
1400 | cell.label = res.fitness |
---|
1401 | cell.value = res.fitness |
---|
1402 | batch_outputs["Chi2"].append(ERROR) |
---|
1403 | for param in param_list: |
---|
1404 | # save value of fixed parameters |
---|
1405 | if param not in res.param_list: |
---|
1406 | batch_outputs[str(param)].append(ERROR) |
---|
1407 | else: |
---|
1408 | #save only fitted values |
---|
1409 | batch_outputs[param].append(ERROR) |
---|
1410 | batch_inputs["error on %s" % str(param)].append(ERROR) |
---|
1411 | else: |
---|
1412 | # ToDo: Why sometimes res.pvec comes with numpy.float64? |
---|
1413 | # Need to fix it within ScipyEngine |
---|
1414 | if res.pvec.__class__ == numpy.float64: |
---|
1415 | res.pvec = [res.pvec] |
---|
1416 | |
---|
1417 | cell = BatchCell() |
---|
1418 | cell.label = res.fitness |
---|
1419 | cell.value = res.fitness |
---|
1420 | batch_outputs["Chi2"].append(cell) |
---|
1421 | # add parameters to batch_results |
---|
1422 | for param in param_list: |
---|
1423 | # save value of fixed parameters |
---|
1424 | if param not in res.param_list: |
---|
1425 | batch_outputs[str(param)].append(model.getParam(param)) |
---|
1426 | else: |
---|
1427 | index = res.param_list.index(param) |
---|
1428 | #save only fitted values |
---|
1429 | batch_outputs[param].append(res.pvec[index]) |
---|
1430 | if res.stderr is not None and \ |
---|
1431 | len(res.stderr) == len(res.param_list): |
---|
1432 | item = res.stderr[index] |
---|
1433 | batch_inputs["error on %s" % param].append(item) |
---|
1434 | else: |
---|
1435 | batch_inputs["error on %s" % param].append('-') |
---|
1436 | model.setParam(param, res.pvec[index]) |
---|
1437 | #fill the batch result with emtpy value if not in the current |
---|
1438 | #model |
---|
1439 | EMPTY = "-" |
---|
1440 | for key in batch_outputs.keys(): |
---|
1441 | if key not in param_list and key not in ["Chi2", "Data"]: |
---|
1442 | batch_outputs[key].append(EMPTY) |
---|
1443 | |
---|
1444 | self.page_finder[pid].set_batch_result(batch_inputs=batch_inputs, |
---|
1445 | batch_outputs=batch_outputs) |
---|
1446 | |
---|
1447 | cpage = self.fit_panel.get_page_by_id(pid) |
---|
1448 | cpage._on_fit_complete() |
---|
1449 | self.page_finder[pid][data.id].set_result(res) |
---|
1450 | fitproblem = self.page_finder[pid][data.id] |
---|
1451 | qmin, qmax = fitproblem.get_range() |
---|
1452 | plot_result = False |
---|
1453 | if correct_result: |
---|
1454 | if not is_data2d: |
---|
1455 | self._complete1D(x=data.x, y=res.theory, page_id=pid, |
---|
1456 | elapsed=None, |
---|
1457 | index=res.index, model=model, |
---|
1458 | weight=None, fid=data.id, |
---|
1459 | toggle_mode_on=False, state=None, |
---|
1460 | data=data, update_chisqr=False, |
---|
1461 | source='fit', plot_result=plot_result) |
---|
1462 | else: |
---|
1463 | self._complete2D(image=new_theory, data=data, |
---|
1464 | model=model, |
---|
1465 | page_id=pid, elapsed=None, |
---|
1466 | index=res.index, |
---|
1467 | qmin=qmin, |
---|
1468 | qmax=qmax, fid=data.id, weight=None, |
---|
1469 | toggle_mode_on=False, state=None, |
---|
1470 | update_chisqr=False, |
---|
1471 | source='fit', plot_result=plot_result) |
---|
1472 | self.on_set_batch_result(page_id=pid, |
---|
1473 | fid=data.id, |
---|
1474 | batch_outputs=batch_outputs, |
---|
1475 | batch_inputs=batch_inputs) |
---|
1476 | |
---|
1477 | wx.PostEvent(self.parent, StatusEvent(status=msg, error="error", |
---|
1478 | type="stop")) |
---|
1479 | # Remove parameters that are not shown |
---|
1480 | cpage = self.fit_panel.get_page_by_id(uid) |
---|
1481 | tbatch_outputs = {} |
---|
1482 | shownkeystr = cpage.get_copy_params() |
---|
1483 | for key in batch_outputs.keys(): |
---|
1484 | if key in ["Chi2", "Data"] or shownkeystr.count(key) > 0: |
---|
1485 | tbatch_outputs[key] = batch_outputs[key] |
---|
1486 | |
---|
1487 | wx.CallAfter(self.parent.on_set_batch_result, tbatch_outputs, |
---|
1488 | batch_inputs, self.sub_menu) |
---|
1489 | |
---|
1490 | def on_set_batch_result(self, page_id, fid, batch_outputs, batch_inputs): |
---|
1491 | """ |
---|
1492 | """ |
---|
1493 | pid = page_id |
---|
1494 | if fid not in self.page_finder[pid]: |
---|
1495 | return |
---|
1496 | fitproblem = self.page_finder[pid][fid] |
---|
1497 | index = self.page_finder[pid].nbr_residuals_computed - 1 |
---|
1498 | residuals = fitproblem.get_residuals() |
---|
1499 | theory_data = fitproblem.get_theory_data() |
---|
1500 | data = fitproblem.get_fit_data() |
---|
1501 | model = fitproblem.get_model() |
---|
1502 | #fill batch result information |
---|
1503 | if "Data" not in batch_outputs.keys(): |
---|
1504 | batch_outputs["Data"] = [] |
---|
1505 | from sans.guiframe.data_processor import BatchCell |
---|
1506 | cell = BatchCell() |
---|
1507 | cell.label = data.name |
---|
1508 | cell.value = index |
---|
1509 | |
---|
1510 | if theory_data != None: |
---|
1511 | #Suucessful fit |
---|
1512 | theory_data.id = wx.NewId() |
---|
1513 | theory_data.name = model.name + "[%s]" % str(data.name) |
---|
1514 | if issubclass(theory_data.__class__, Data2D): |
---|
1515 | group_id = wx.NewId() |
---|
1516 | theory_data.group_id = group_id |
---|
1517 | if group_id not in theory_data.list_group_id: |
---|
1518 | theory_data.list_group_id.append(group_id) |
---|
1519 | |
---|
1520 | try: |
---|
1521 | # associate residuals plot |
---|
1522 | if issubclass(residuals.__class__, Data2D): |
---|
1523 | group_id = wx.NewId() |
---|
1524 | residuals.group_id = group_id |
---|
1525 | if group_id not in residuals.list_group_id: |
---|
1526 | residuals.list_group_id.append(group_id) |
---|
1527 | batch_outputs["Chi2"][index].object = [residuals] |
---|
1528 | except: |
---|
1529 | pass |
---|
1530 | |
---|
1531 | cell.object = [data, theory_data] |
---|
1532 | batch_outputs["Data"].append(cell) |
---|
1533 | for key, value in data.meta_data.iteritems(): |
---|
1534 | if key not in batch_inputs.keys(): |
---|
1535 | batch_inputs[key] = [] |
---|
1536 | #if key.lower().strip() != "loader": |
---|
1537 | batch_inputs[key].append(value) |
---|
1538 | param = "temperature" |
---|
1539 | if hasattr(data.sample, param): |
---|
1540 | if param not in batch_inputs.keys(): |
---|
1541 | batch_inputs[param] = [] |
---|
1542 | batch_inputs[param].append(data.sample.temperature) |
---|
1543 | |
---|
1544 | def _fit_completed(self, result, page_id, batch_outputs, |
---|
1545 | batch_inputs=None, pars=None, elapsed=None): |
---|
1546 | """ |
---|
1547 | Display result of the fit on related panel(s). |
---|
1548 | :param result: list of object generated when fit ends |
---|
1549 | :param pars: list of names of parameters fitted |
---|
1550 | :param page_id: list of page ids which called fit function |
---|
1551 | :param elapsed: time spent at the fitting level |
---|
1552 | """ |
---|
1553 | t1 = time.time() |
---|
1554 | str_time = time.strftime("%a, %d %b %Y %H:%M:%S ", time.localtime(t1)) |
---|
1555 | msg = "Fit completed on %s \n" % str_time |
---|
1556 | msg += "Duration time: %s s.\n" % str(elapsed) |
---|
1557 | wx.PostEvent(self.parent, StatusEvent(status=msg, info="info", |
---|
1558 | type="stop")) |
---|
1559 | # reset fit_engine if changed by simul_fit |
---|
1560 | if self._fit_engine != self._gui_engine: |
---|
1561 | self._on_change_engine(self._gui_engine) |
---|
1562 | self._update_fit_button(page_id) |
---|
1563 | result = result[0] |
---|
1564 | self.fit_thread_list = {} |
---|
1565 | if page_id is None: |
---|
1566 | page_id = [] |
---|
1567 | ## fit more than 1 model at the same time |
---|
1568 | self._mac_sleep(0.2) |
---|
1569 | try: |
---|
1570 | index = 0 |
---|
1571 | for uid in page_id: |
---|
1572 | res = result[index] |
---|
1573 | if res.fitness is None or \ |
---|
1574 | not numpy.isfinite(res.fitness) or \ |
---|
1575 | numpy.any(res.pvec == None) or \ |
---|
1576 | not numpy.all(numpy.isfinite(res.pvec)): |
---|
1577 | msg = "Fitting did not converge!!!" |
---|
1578 | wx.PostEvent(self.parent, |
---|
1579 | StatusEvent(status=msg, |
---|
1580 | info="warning", |
---|
1581 | type="stop")) |
---|
1582 | self._update_fit_button(page_id) |
---|
1583 | else: |
---|
1584 | #set the panel when fit result are float not list |
---|
1585 | if res.pvec.__class__ == numpy.float64: |
---|
1586 | pvec = [res.pvec] |
---|
1587 | else: |
---|
1588 | pvec = res.pvec |
---|
1589 | if res.stderr.__class__ == numpy.float64: |
---|
1590 | stderr = [res.stderr] |
---|
1591 | else: |
---|
1592 | stderr = res.stderr |
---|
1593 | cpage = self.fit_panel.get_page_by_id(uid) |
---|
1594 | # Make sure we got all results |
---|
1595 | #(CallAfter is important to MAC) |
---|
1596 | try: |
---|
1597 | #if res != None: |
---|
1598 | wx.CallAfter(cpage.onsetValues, res.fitness, |
---|
1599 | res.param_list, |
---|
1600 | pvec, stderr) |
---|
1601 | index += 1 |
---|
1602 | wx.CallAfter(cpage._on_fit_complete) |
---|
1603 | except: |
---|
1604 | msg = "Singular point: Fitting Error occurred." |
---|
1605 | wx.PostEvent(self.parent, StatusEvent(status=msg, |
---|
1606 | info="error", |
---|
1607 | type="stop")) |
---|
1608 | |
---|
1609 | except: |
---|
1610 | msg = "Fit completed but Following" |
---|
1611 | msg += " error occurred:%s" % sys.exc_value |
---|
1612 | wx.PostEvent(self.parent, StatusEvent(status=msg, info="error", |
---|
1613 | type="stop")) |
---|
1614 | |
---|
1615 | def _update_fit_button(self, page_id): |
---|
1616 | """ |
---|
1617 | Update Fit button when fit stopped |
---|
1618 | |
---|
1619 | : parameter page_id: fitpage where the button is |
---|
1620 | """ |
---|
1621 | if page_id.__class__.__name__ != 'list': |
---|
1622 | page_id = [page_id] |
---|
1623 | for uid in page_id: |
---|
1624 | page = self.fit_panel.get_page_by_id(uid) |
---|
1625 | page._on_fit_complete() |
---|
1626 | |
---|
1627 | def _on_show_panel(self, event): |
---|
1628 | """ |
---|
1629 | """ |
---|
1630 | pass |
---|
1631 | |
---|
1632 | def on_reset_batch_flag(self, event): |
---|
1633 | """ |
---|
1634 | Set batch_reset_flag |
---|
1635 | """ |
---|
1636 | event.Skip() |
---|
1637 | if self.menu1 == None: |
---|
1638 | return |
---|
1639 | menu_item = self.menu1.FindItemById(self.id_reset_flag) |
---|
1640 | flag = menu_item.IsChecked() |
---|
1641 | if not flag: |
---|
1642 | menu_item.Check(False) |
---|
1643 | self.batch_reset_flag = True |
---|
1644 | else: |
---|
1645 | menu_item.Check(True) |
---|
1646 | self.batch_reset_flag = False |
---|
1647 | |
---|
1648 | ## post a message to status bar |
---|
1649 | msg = "Set Chain Fitting: %s" % str(not self.batch_reset_flag) |
---|
1650 | wx.PostEvent(self.parent, |
---|
1651 | StatusEvent(status=msg)) |
---|
1652 | |
---|
1653 | def _onset_engine_park(self, event): |
---|
1654 | """ |
---|
1655 | set engine to park |
---|
1656 | """ |
---|
1657 | self._on_change_engine('park') |
---|
1658 | |
---|
1659 | def _onset_engine_scipy(self, event): |
---|
1660 | """ |
---|
1661 | set engine to scipy |
---|
1662 | """ |
---|
1663 | self._on_change_engine('scipy') |
---|
1664 | |
---|
1665 | def _on_slicer_event(self, event): |
---|
1666 | """ |
---|
1667 | Receive a panel as event and send it to guiframe |
---|
1668 | |
---|
1669 | :param event: event containing a panel |
---|
1670 | |
---|
1671 | """ |
---|
1672 | if event.panel is not None: |
---|
1673 | new_panel = event.panel |
---|
1674 | self.slicer_panels.append(event.panel) |
---|
1675 | # Set group ID if available |
---|
1676 | event_id = self.parent.popup_panel(new_panel) |
---|
1677 | new_panel.uid = event_id |
---|
1678 | self.mypanels.append(new_panel) |
---|
1679 | |
---|
1680 | def _onclearslicer(self, event): |
---|
1681 | """ |
---|
1682 | Clear the boxslicer when close the panel associate with this slicer |
---|
1683 | """ |
---|
1684 | name = event.GetPane().caption |
---|
1685 | |
---|
1686 | for panel in self.slicer_panels: |
---|
1687 | if panel.window_caption == name: |
---|
1688 | |
---|
1689 | for item in self.parent.panels: |
---|
1690 | if hasattr(self.parent.panels[item], "uid"): |
---|
1691 | if self.parent.panels[item].uid == panel.base.uid: |
---|
1692 | self.parent.panels[item].onClearSlicer(event) |
---|
1693 | self.parent._mgr.Update() |
---|
1694 | break |
---|
1695 | break |
---|
1696 | |
---|
1697 | def _return_engine_type(self): |
---|
1698 | """ |
---|
1699 | return the current type of engine |
---|
1700 | """ |
---|
1701 | return self._fit_engine |
---|
1702 | |
---|
1703 | def _on_change_engine(self, engine='park'): |
---|
1704 | """ |
---|
1705 | Allow to select the type of engine to perform fit |
---|
1706 | |
---|
1707 | :param engine: the key work of the engine |
---|
1708 | |
---|
1709 | """ |
---|
1710 | ## saving fit engine name |
---|
1711 | self._fit_engine = engine |
---|
1712 | ## change menu item state |
---|
1713 | if engine == "park": |
---|
1714 | self.menu1.FindItemById(self.park_id).Check(True) |
---|
1715 | self.menu1.FindItemById(self.scipy_id).Check(False) |
---|
1716 | else: |
---|
1717 | self.menu1.FindItemById(self.park_id).Check(False) |
---|
1718 | self.menu1.FindItemById(self.scipy_id).Check(True) |
---|
1719 | ## post a message to status bar |
---|
1720 | msg = "Engine set to: %s" % self._fit_engine |
---|
1721 | wx.PostEvent(self.parent, |
---|
1722 | StatusEvent(status=msg)) |
---|
1723 | ## send the current engine type to fitpanel |
---|
1724 | self.fit_panel._on_engine_change(name=self._fit_engine) |
---|
1725 | |
---|
1726 | def _on_model_panel(self, evt): |
---|
1727 | """ |
---|
1728 | react to model selection on any combo box or model menu.plot the model |
---|
1729 | |
---|
1730 | :param evt: wx.combobox event |
---|
1731 | |
---|
1732 | """ |
---|
1733 | model = evt.model |
---|
1734 | uid = evt.uid |
---|
1735 | qmin = evt.qmin |
---|
1736 | qmax = evt.qmax |
---|
1737 | caption = evt.caption |
---|
1738 | enable_smearer = evt.enable_smearer |
---|
1739 | if model == None: |
---|
1740 | return |
---|
1741 | if uid not in self.page_finder.keys(): |
---|
1742 | return |
---|
1743 | # save the name containing the data name with the appropriate model |
---|
1744 | self.page_finder[uid].set_model(model) |
---|
1745 | self.page_finder[uid].enable_smearing(enable_smearer) |
---|
1746 | self.page_finder[uid].set_range(qmin=qmin, qmax=qmax) |
---|
1747 | self.page_finder[uid].set_fit_tab_caption(caption=caption) |
---|
1748 | if self.sim_page is not None and not self.batch_on: |
---|
1749 | self.sim_page.draw_page() |
---|
1750 | if self.batch_page is not None and self.batch_on: |
---|
1751 | self.batch_page.draw_page() |
---|
1752 | |
---|
1753 | def _update1D(self, x, output): |
---|
1754 | """ |
---|
1755 | Update the output of plotting model 1D |
---|
1756 | """ |
---|
1757 | msg = "Plot updating ... " |
---|
1758 | wx.PostEvent(self.parent, StatusEvent(status=msg, type="update")) |
---|
1759 | |
---|
1760 | def _complete1D(self, x, y, page_id, elapsed, index, model, |
---|
1761 | weight=None, fid=None, |
---|
1762 | toggle_mode_on=False, state=None, |
---|
1763 | data=None, update_chisqr=True, |
---|
1764 | source='model', plot_result=True): |
---|
1765 | """ |
---|
1766 | Complete plotting 1D data |
---|
1767 | """ |
---|
1768 | try: |
---|
1769 | numpy.nan_to_num(y) |
---|
1770 | |
---|
1771 | new_plot = Data1D(x=x, y=y) |
---|
1772 | new_plot.is_data = False |
---|
1773 | new_plot.dy = numpy.zeros(len(y)) |
---|
1774 | new_plot.symbol = GUIFRAME_ID.CURVE_SYMBOL_NUM |
---|
1775 | _yaxis, _yunit = data.get_yaxis() |
---|
1776 | _xaxis, _xunit = data.get_xaxis() |
---|
1777 | new_plot.title = data.name |
---|
1778 | |
---|
1779 | new_plot.group_id = data.group_id |
---|
1780 | if new_plot.group_id == None: |
---|
1781 | new_plot.group_id = data.group_id |
---|
1782 | new_plot.id = str(page_id) + "model-" + data.name |
---|
1783 | #if new_plot.id in self.color_dict: |
---|
1784 | # new_plot.custom_color = self.color_dict[new_plot.id] |
---|
1785 | #find if this theory was already plotted and replace that plot given |
---|
1786 | #the same id |
---|
1787 | theory_data = self.page_finder[page_id].get_theory_data(fid=data.id) |
---|
1788 | |
---|
1789 | if data.is_data: |
---|
1790 | data_name = str(data.name) |
---|
1791 | else: |
---|
1792 | data_name = str(model.__class__.__name__) |
---|
1793 | |
---|
1794 | new_plot.name = model.name + " [" + data_name +"]" |
---|
1795 | new_plot.xaxis(_xaxis, _xunit) |
---|
1796 | new_plot.yaxis(_yaxis, _yunit) |
---|
1797 | self.page_finder[page_id].set_theory_data(data=new_plot, |
---|
1798 | fid=data.id) |
---|
1799 | self.parent.update_theory(data_id=data.id, theory=new_plot, |
---|
1800 | state=state) |
---|
1801 | current_pg = self.fit_panel.get_page_by_id(page_id) |
---|
1802 | title = new_plot.title |
---|
1803 | batch_on = self.fit_panel.get_page_by_id(page_id).batch_on |
---|
1804 | if not batch_on: |
---|
1805 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
---|
1806 | title=str(title))) |
---|
1807 | elif plot_result: |
---|
1808 | top_data_id = self.fit_panel.get_page_by_id(page_id).data.id |
---|
1809 | if data.id == top_data_id: |
---|
1810 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
---|
1811 | title=str(title))) |
---|
1812 | caption = current_pg.window_caption |
---|
1813 | self.page_finder[page_id].set_fit_tab_caption(caption=caption) |
---|
1814 | |
---|
1815 | self.page_finder[page_id].set_theory_data(data=new_plot, |
---|
1816 | fid=data.id) |
---|
1817 | if toggle_mode_on: |
---|
1818 | wx.PostEvent(self.parent, |
---|
1819 | NewPlotEvent(group_id=str(page_id) + " Model2D", |
---|
1820 | action="Hide")) |
---|
1821 | else: |
---|
1822 | if update_chisqr: |
---|
1823 | wx.PostEvent(current_pg, |
---|
1824 | Chi2UpdateEvent(output=self._cal_chisqr( |
---|
1825 | data=data, |
---|
1826 | fid=fid, |
---|
1827 | weight=weight, |
---|
1828 | page_id=page_id, |
---|
1829 | index=index))) |
---|
1830 | else: |
---|
1831 | self._plot_residuals(page_id=page_id, data=data, fid=fid, |
---|
1832 | index=index, weight=weight) |
---|
1833 | |
---|
1834 | msg = "Computation completed!" |
---|
1835 | wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop")) |
---|
1836 | except: |
---|
1837 | raise |
---|
1838 | |
---|
1839 | def _update2D(self, output, time=None): |
---|
1840 | """ |
---|
1841 | Update the output of plotting model |
---|
1842 | """ |
---|
1843 | wx.PostEvent(self.parent, StatusEvent(status="Plot \ |
---|
1844 | #updating ... ", type="update")) |
---|
1845 | #self.ready_fit() |
---|
1846 | |
---|
1847 | def _complete2D(self, image, data, model, page_id, elapsed, index, qmin, |
---|
1848 | qmax, fid=None, weight=None, toggle_mode_on=False, state=None, |
---|
1849 | update_chisqr=True, source='model', plot_result=True): |
---|
1850 | """ |
---|
1851 | Complete get the result of modelthread and create model 2D |
---|
1852 | that can be plot. |
---|
1853 | """ |
---|
1854 | numpy.nan_to_num(image) |
---|
1855 | new_plot = Data2D(image=image, err_image=data.err_data) |
---|
1856 | new_plot.name = model.name |
---|
1857 | new_plot.title = "Analytical model 2D " |
---|
1858 | new_plot.id = str(page_id) + "model-" + data.name |
---|
1859 | new_plot.group_id = str(page_id) + " Model2D" |
---|
1860 | new_plot.detector = data.detector |
---|
1861 | new_plot.source = data.source |
---|
1862 | new_plot.is_data = False |
---|
1863 | new_plot.qx_data = data.qx_data |
---|
1864 | new_plot.qy_data = data.qy_data |
---|
1865 | new_plot.q_data = data.q_data |
---|
1866 | new_plot.mask = data.mask |
---|
1867 | ## plot boundaries |
---|
1868 | new_plot.ymin = data.ymin |
---|
1869 | new_plot.ymax = data.ymax |
---|
1870 | new_plot.xmin = data.xmin |
---|
1871 | new_plot.xmax = data.xmax |
---|
1872 | title = data.title |
---|
1873 | |
---|
1874 | new_plot.is_data = False |
---|
1875 | if data.is_data: |
---|
1876 | data_name = str(data.name) |
---|
1877 | else: |
---|
1878 | data_name = str(model.__class__.__name__) |
---|
1879 | |
---|
1880 | if len(title) > 1: |
---|
1881 | new_plot.title = "Model2D for " + data_name |
---|
1882 | new_plot.name = model.name + " [" + \ |
---|
1883 | data_name + "-2D]" |
---|
1884 | theory_data = deepcopy(new_plot) |
---|
1885 | theory_data.name = "Unknown" |
---|
1886 | |
---|
1887 | self.page_finder[page_id].set_theory_data(data=theory_data, |
---|
1888 | fid=data.id) |
---|
1889 | self.parent.update_theory(data_id=data.id, |
---|
1890 | theory=new_plot, |
---|
1891 | state=state) |
---|
1892 | current_pg = self.fit_panel.get_page_by_id(page_id) |
---|
1893 | title = new_plot.title |
---|
1894 | if not source == 'fit' and plot_result: |
---|
1895 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, |
---|
1896 | title=title)) |
---|
1897 | if toggle_mode_on: |
---|
1898 | wx.PostEvent(self.parent, |
---|
1899 | NewPlotEvent(group_id=str(page_id) + " Model1D", |
---|
1900 | action="Hide")) |
---|
1901 | else: |
---|
1902 | # Chisqr in fitpage |
---|
1903 | if update_chisqr: |
---|
1904 | wx.PostEvent(current_pg, |
---|
1905 | Chi2UpdateEvent(output=self._cal_chisqr(data=data, |
---|
1906 | weight=weight, |
---|
1907 | fid=fid, |
---|
1908 | page_id=page_id, |
---|
1909 | index=index))) |
---|
1910 | else: |
---|
1911 | self._plot_residuals(page_id=page_id, data=data, fid=fid, |
---|
1912 | index=index, weight=weight) |
---|
1913 | msg = "Computation completed!" |
---|
1914 | wx.PostEvent(self.parent, StatusEvent(status=msg, type="stop")) |
---|
1915 | |
---|
1916 | def _draw_model2D(self, model, page_id, qmin, |
---|
1917 | qmax, |
---|
1918 | data=None, smearer=None, |
---|
1919 | description=None, enable2D=False, |
---|
1920 | state=None, |
---|
1921 | fid=None, |
---|
1922 | weight=None, |
---|
1923 | toggle_mode_on=False, |
---|
1924 | update_chisqr=True, source='model'): |
---|
1925 | """ |
---|
1926 | draw model in 2D |
---|
1927 | |
---|
1928 | :param model: instance of the model to draw |
---|
1929 | :param description: the description of the model |
---|
1930 | :param enable2D: when True allows to draw model 2D |
---|
1931 | :param qmin: the minimum value to draw model 2D |
---|
1932 | :param qmax: the maximum value to draw model 2D |
---|
1933 | :param qstep: the number of division of Qx and Qy of the model to draw |
---|
1934 | |
---|
1935 | """ |
---|
1936 | if not enable2D: |
---|
1937 | return None |
---|
1938 | try: |
---|
1939 | from model_thread import Calc2D |
---|
1940 | ## If a thread is already started, stop it |
---|
1941 | if (self.calc_2D is not None) and self.calc_2D.isrunning(): |
---|
1942 | self.calc_2D.stop() |
---|
1943 | self.calc_2D = Calc2D(model=model, |
---|
1944 | data=data, |
---|
1945 | page_id=page_id, |
---|
1946 | smearer=smearer, |
---|
1947 | qmin=qmin, |
---|
1948 | qmax=qmax, |
---|
1949 | weight=weight, |
---|
1950 | fid=fid, |
---|
1951 | toggle_mode_on=toggle_mode_on, |
---|
1952 | state=state, |
---|
1953 | completefn=self._complete2D, |
---|
1954 | update_chisqr=update_chisqr, source=source) |
---|
1955 | self.calc_2D.queue() |
---|
1956 | except: |
---|
1957 | raise |
---|
1958 | |
---|
1959 | def _draw_model1D(self, model, page_id, data, |
---|
1960 | qmin, qmax, smearer=None, |
---|
1961 | state=None, |
---|
1962 | weight=None, |
---|
1963 | fid=None, |
---|
1964 | toggle_mode_on=False, update_chisqr=True, source='model', |
---|
1965 | enable1D=True): |
---|
1966 | """ |
---|
1967 | Draw model 1D from loaded data1D |
---|
1968 | |
---|
1969 | :param data: loaded data |
---|
1970 | :param model: the model to plot |
---|
1971 | |
---|
1972 | """ |
---|
1973 | if not enable1D: |
---|
1974 | return |
---|
1975 | try: |
---|
1976 | from model_thread import Calc1D |
---|
1977 | ## If a thread is already started, stop it |
---|
1978 | if (self.calc_1D is not None) and self.calc_1D.isrunning(): |
---|
1979 | self.calc_1D.stop() |
---|
1980 | self.calc_1D = Calc1D(data=data, |
---|
1981 | model=model, |
---|
1982 | page_id=page_id, |
---|
1983 | qmin=qmin, |
---|
1984 | qmax=qmax, |
---|
1985 | smearer=smearer, |
---|
1986 | state=state, |
---|
1987 | weight=weight, |
---|
1988 | fid=fid, |
---|
1989 | toggle_mode_on=toggle_mode_on, |
---|
1990 | completefn=self._complete1D, |
---|
1991 | #updatefn = self._update1D, |
---|
1992 | update_chisqr=update_chisqr, |
---|
1993 | source=source) |
---|
1994 | self.calc_1D.queue() |
---|
1995 | except: |
---|
1996 | msg = " Error occurred when drawing %s Model 1D: " % model.name |
---|
1997 | msg += " %s" % sys.exc_value |
---|
1998 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
1999 | |
---|
2000 | def _cal_chisqr(self, page_id, data, weight, fid=None, index=None): |
---|
2001 | """ |
---|
2002 | Get handy Chisqr using the output from draw1D and 2D, |
---|
2003 | instead of calling expansive CalcChisqr in guithread |
---|
2004 | """ |
---|
2005 | data_copy = deepcopy(data) |
---|
2006 | # default chisqr |
---|
2007 | chisqr = None |
---|
2008 | #to compute chisq make sure data has valid data |
---|
2009 | # return None if data == None |
---|
2010 | if not check_data_validity(data_copy) or data_copy == None: |
---|
2011 | return chisqr |
---|
2012 | |
---|
2013 | # Get data: data I, theory I, and data dI in order |
---|
2014 | if data_copy.__class__.__name__ == "Data2D": |
---|
2015 | if index == None: |
---|
2016 | index = numpy.ones(len(data_copy.data), ntype=bool) |
---|
2017 | if weight != None: |
---|
2018 | data_copy.err_data = weight |
---|
2019 | # get rid of zero error points |
---|
2020 | index = index & (data_copy.err_data != 0) |
---|
2021 | index = index & (numpy.isfinite(data_copy.data)) |
---|
2022 | fn = data_copy.data[index] |
---|
2023 | theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id) |
---|
2024 | if theory_data == None: |
---|
2025 | return chisqr |
---|
2026 | gn = theory_data.data[index] |
---|
2027 | en = data_copy.err_data[index] |
---|
2028 | else: |
---|
2029 | # 1 d theory from model_thread is only in the range of index |
---|
2030 | if index == None: |
---|
2031 | index = numpy.ones(len(data_copy.y), ntype=bool) |
---|
2032 | if weight != None: |
---|
2033 | data_copy.dy = weight |
---|
2034 | if data_copy.dy == None or data_copy.dy == []: |
---|
2035 | dy = numpy.ones(len(data_copy.y)) |
---|
2036 | else: |
---|
2037 | ## Set consitently w/AbstractFitengine: |
---|
2038 | # But this should be corrected later. |
---|
2039 | dy = deepcopy(data_copy.dy) |
---|
2040 | dy[dy == 0] = 1 |
---|
2041 | fn = data_copy.y[index] |
---|
2042 | |
---|
2043 | theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id) |
---|
2044 | if theory_data == None: |
---|
2045 | return chisqr |
---|
2046 | gn = theory_data.y |
---|
2047 | en = dy[index] |
---|
2048 | |
---|
2049 | # residual |
---|
2050 | res = (fn - gn) / en |
---|
2051 | residuals = res[numpy.isfinite(res)] |
---|
2052 | # get chisqr only w/finite |
---|
2053 | chisqr = numpy.average(residuals * residuals) |
---|
2054 | |
---|
2055 | self._plot_residuals(page_id=page_id, data=data_copy, |
---|
2056 | fid=fid, |
---|
2057 | weight=weight, index=index) |
---|
2058 | |
---|
2059 | return chisqr |
---|
2060 | |
---|
2061 | def _plot_residuals(self, page_id, weight, fid=None, |
---|
2062 | data=None, index=None): |
---|
2063 | """ |
---|
2064 | Plot the residuals |
---|
2065 | |
---|
2066 | :param data: data |
---|
2067 | :param index: index array (bool) |
---|
2068 | : Note: this is different from the residuals in cal_chisqr() |
---|
2069 | """ |
---|
2070 | data_copy = deepcopy(data) |
---|
2071 | # Get data: data I, theory I, and data dI in order |
---|
2072 | if data_copy.__class__.__name__ == "Data2D": |
---|
2073 | # build residuals |
---|
2074 | residuals = Data2D() |
---|
2075 | #residuals.copy_from_datainfo(data) |
---|
2076 | # Not for trunk the line below, instead use the line above |
---|
2077 | data_copy.clone_without_data(len(data_copy.data), residuals) |
---|
2078 | residuals.data = None |
---|
2079 | fn = data_copy.data |
---|
2080 | theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id) |
---|
2081 | gn = theory_data.data |
---|
2082 | if weight == None: |
---|
2083 | en = data_copy.err_data |
---|
2084 | else: |
---|
2085 | en = weight |
---|
2086 | residuals.data = (fn - gn) / en |
---|
2087 | residuals.qx_data = data_copy.qx_data |
---|
2088 | residuals.qy_data = data_copy.qy_data |
---|
2089 | residuals.q_data = data_copy.q_data |
---|
2090 | residuals.err_data = numpy.ones(len(residuals.data)) |
---|
2091 | residuals.xmin = min(residuals.qx_data) |
---|
2092 | residuals.xmax = max(residuals.qx_data) |
---|
2093 | residuals.ymin = min(residuals.qy_data) |
---|
2094 | residuals.ymax = max(residuals.qy_data) |
---|
2095 | residuals.q_data = data_copy.q_data |
---|
2096 | residuals.mask = data_copy.mask |
---|
2097 | residuals.scale = 'linear' |
---|
2098 | # check the lengths |
---|
2099 | if len(residuals.data) != len(residuals.q_data): |
---|
2100 | return |
---|
2101 | else: |
---|
2102 | # 1 d theory from model_thread is only in the range of index |
---|
2103 | if data_copy.dy == None or data_copy.dy == []: |
---|
2104 | dy = numpy.ones(len(data_copy.y)) |
---|
2105 | else: |
---|
2106 | if weight == None: |
---|
2107 | dy = numpy.ones(len(data_copy.y)) |
---|
2108 | ## Set consitently w/AbstractFitengine: |
---|
2109 | ## But this should be corrected later. |
---|
2110 | else: |
---|
2111 | dy = weight |
---|
2112 | dy[dy == 0] = 1 |
---|
2113 | fn = data_copy.y[index] |
---|
2114 | theory_data = self.page_finder[page_id].get_theory_data(fid=data_copy.id) |
---|
2115 | gn = theory_data.y |
---|
2116 | en = dy[index] |
---|
2117 | # build residuals |
---|
2118 | residuals = Data1D() |
---|
2119 | residuals.y = (fn - gn) / en |
---|
2120 | residuals.x = data_copy.x[index] |
---|
2121 | residuals.dy = numpy.ones(len(residuals.y)) |
---|
2122 | residuals.dx = None |
---|
2123 | residuals.dxl = None |
---|
2124 | residuals.dxw = None |
---|
2125 | residuals.ytransform = 'y' |
---|
2126 | # For latter scale changes |
---|
2127 | residuals.xaxis('\\rm{Q} ', 'A^{-1}') |
---|
2128 | residuals.yaxis('\\rm{Residuals} ', 'normalized') |
---|
2129 | new_plot = residuals |
---|
2130 | new_plot.name = "Residuals for " + str(theory_data.name.split()[0]) + "[" + str(data.name) +"]" |
---|
2131 | ## allow to highlight data when plotted |
---|
2132 | new_plot.interactive = True |
---|
2133 | ## when 2 data have the same id override the 1 st plotted |
---|
2134 | new_plot.id = "res" + str(data_copy.id) |
---|
2135 | ##group_id specify on which panel to plot this data |
---|
2136 | group_id = self.page_finder[page_id].get_graph_id() |
---|
2137 | if group_id == None: |
---|
2138 | group_id = data.group_id |
---|
2139 | new_plot.group_id = "res" + str(group_id) |
---|
2140 | #new_plot.is_data = True |
---|
2141 | ##post data to plot |
---|
2142 | title = new_plot.name |
---|
2143 | self.page_finder[page_id].set_residuals(residuals=new_plot, |
---|
2144 | fid=data.id) |
---|
2145 | self.parent.update_theory(data_id=data.id, theory=new_plot) |
---|
2146 | batch_on = self.fit_panel.get_page_by_id(page_id).batch_on |
---|
2147 | if not batch_on: |
---|
2148 | wx.PostEvent(self.parent, NewPlotEvent(plot=new_plot, title=title)) |
---|