Changeset 8198e63 in sasview for src/sas/sasgui/perspectives

Timestamp:

Sep 5, 2017 9:56:21 AM (7 years ago)

Author:

GitHub <noreply@…>

Branches:

master, ESS_GUI, ESS_GUI_Docs, ESS_GUI_batch_fitting, ESS_GUI_bumps_abstraction, ESS_GUI_iss1116, ESS_GUI_iss879, ESS_GUI_iss959, ESS_GUI_opencl, ESS_GUI_ordering, ESS_GUI_sync_sascalc, costrafo411, magnetic_scatt, release-4.2.2, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload

Children:

7b15990

Parents:

d24e41d (diff), 2d9526d (diff)
Note: this is a merge changeset, the changes displayed below correspond to the merge itself.
Use the (diff) links above to see all the changes relative to each parent.

git-author:

Paul Butler <butlerpd@…> (09/05/17 09:56:21)

git-committer:

GitHub <noreply@…> (09/05/17 09:56:21)

Message:

Merge pull request #98 from lewisodriscoll/FixingTicket741

Ticket 741

Location:

src/sas/sasgui/perspectives/fitting

Files:

• fitting.py (modified) (1 diff)
• model_thread.py (modified) (1 diff)

src/sas/sasgui/perspectives/fitting/fitting.py

@@ -1747 +1747 @@
                                          data_description=model.name,
                                          data_id=str(page_id) + " " + data.name)
+        plots_to_update = [] # List of plottables that have changed since last calculation
+        # Create the new theories
         if unsmeared_model is not None:
-            self.create_theory_1D(x, unsmeared_model, page_id, model, data, state,
+            unsmeared_model_plot = self.create_theory_1D(x, unsmeared_model, 
+                                  page_id, model, data, state,
                                   data_description=model.name + " unsmeared",
                                   data_id=str(page_id) + " " + data.name + " unsmeared")
+            plots_to_update.append(unsmeared_model_plot)
 
             if unsmeared_data is not None and unsmeared_error is not None:
-                self.create_theory_1D(x, unsmeared_data, page_id, model, data, state,
+                unsmeared_data_plot = self.create_theory_1D(x, unsmeared_data, 
+                                      page_id, model, data, state,
                                       data_description="Data unsmeared",
                                       data_id="Data  " + data.name + " unsmeared",
                                       dy=unsmeared_error)
-        # Comment this out until we can get P*S models with correctly populated parameters
+                plots_to_update.append(unsmeared_data_plot)
         if sq_model is not None and pq_model is not None:
-            self.create_theory_1D(x, sq_model, page_id, model, data, state,
+            sq_id = str(page_id) + " " + data.name + " S(q)"
+            sq_plot = self.create_theory_1D(x, sq_model, page_id, model, data, state,
                                   data_description=model.name + " S(q)",
-                                  data_id=str(page_id) + " " + data.name + " S(q)")
-            self.create_theory_1D(x, pq_model, page_id, model, data, state,
+                                  data_id=sq_id)
+            plots_to_update.append(sq_plot)
+            pq_id = str(page_id) + " " + data.name + " P(q)"
+            pq_plot = self.create_theory_1D(x, pq_model, page_id, model, data, state,
                                   data_description=model.name + " P(q)",
-                                  data_id=str(page_id) + " " + data.name + " P(q)")
+                                  data_id=pq_id)
+            plots_to_update.append(pq_plot)
+        # Update the P(Q), S(Q) and unsmeared theory plots if they exist
+        wx.PostEvent(self.parent, NewPlotEvent(plots=plots_to_update, 
+                                              action='update'))
 
         current_pg = self.fit_panel.get_page_by_id(page_id)

src/sas/sasgui/perspectives/fitting/model_thread.py

@@ -211 +211 @@
             results = self.model.calc_composition_models(x)
             if results is not None:
-                sq_values = results[0]
-                pq_values = results[1]
+                pq_values, sq_values = results