- Timestamp:
- Apr 11, 2017 9:31:49 AM (8 years ago)
- 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:
- c44bb26a
- Parents:
- 24b3821
- Location:
- src/sas/sasgui/perspectives/fitting
- Files:
-
- 2 edited
Legend:
- Unmodified
- Added
- Removed
-
src/sas/sasgui/perspectives/fitting/fitting.py
r24b3821 r426df2e 1747 1747 data_id="Data " + data.name + " unsmeared", 1748 1748 dy=unsmeared_error) 1749 # Comment this out until we can get P*S models with correctly populated parameters1750 1749 if sq_model is not None and pq_model is not None: 1751 1750 self.create_theory_1D(x, sq_model, page_id, model, data, state, -
src/sas/sasgui/perspectives/fitting/model_thread.py
r24b3821 r426df2e 206 206 s_model = self.model.s_model 207 207 p_model = self.model.p_model 208 #sq_values = np.zeros((len(self.data.x)))209 #pq_values = np.zeros((len(self.data.x)))210 #sq_values[index] = s_model.evalDistribution(self.data.x[index])211 #pq_values[index] = p_model.evalDistribution(self.data.x[index])212 208 sq_values = s_model.evalDistribution(x) 213 209 pq_values = p_model.evalDistribution(x)
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