Changeset e2b2473 in sasview for src/sas/sascalc/dataloader/readers
- Timestamp:
- Sep 10, 2017 5:17:17 PM (7 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:
- fca1f50, 7b15990, 868846b
- Parents:
- f9ba422 (diff), 7582df3 (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@…> (09/10/17 17:17:17)
- git-committer:
- GitHub <noreply@…> (09/10/17 17:17:17)
- Location:
- src/sas/sascalc/dataloader/readers
- Files:
-
- 2 edited
Legend:
- Unmodified
- Added
- Removed
-
src/sas/sascalc/dataloader/readers/cansas_reader.py
rdcb91cf ra78a02f 299 299 self.current_dataset.dx = np.append(self.current_dataset.dx, data_point) 300 300 elif tagname == 'dQw': 301 if self.current_dataset.dqw is None: self.current_dataset.dqw = np.empty(0) 301 if self.current_dataset.dxw is None: 302 self.current_dataset.dxw = np.empty(0) 302 303 self.current_dataset.dxw = np.append(self.current_dataset.dxw, data_point) 303 304 elif tagname == 'dQl': 304 if self.current_dataset.dxl is None: self.current_dataset.dxl = np.empty(0) 305 if self.current_dataset.dxl is None: 306 self.current_dataset.dxl = np.empty(0) 305 307 self.current_dataset.dxl = np.append(self.current_dataset.dxl, data_point) 306 308 elif tagname == 'Qmean': -
src/sas/sascalc/dataloader/readers/danse_reader.py
r713a047 ra78a02f 189 189 x_vals = np.tile(x_vals, (size_y, 1)).flatten() 190 190 y_vals = np.tile(y_vals, (size_x, 1)).T.flatten() 191 if self.current_dataset.err_data == np.all(np.array(None)) or np.any(self.current_dataset.err_data <= 0): 191 if (np.all(self.current_dataset.err_data == None) 192 or np.any(self.current_dataset.err_data <= 0)): 192 193 new_err_data = np.sqrt(np.abs(self.current_dataset.data)) 193 194 else:
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