Changeset a854f21 in sasview for src/sas/sascalc/dataloader

Timestamp:

Aug 19, 2016 8:57:54 AM (8 years ago)

Author:

lewis

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-4.1.1, release-4.1.2, release-4.2.2, release_4.0.1, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload

Children:

a4deca6

Parents:

d65fb2f

git-author:

Lewis O'Driscoll <lewis.o'driscoll@…> (08/18/16 10:52:06)

git-committer:

Lewis O'Driscoll <lewis.o'driscoll@…> (08/19/16 08:57:54)

Message:

Fix cansas_reader_HDF5 unit tests

I'm not sure why the first value of each data array was being deleted, but
as of commit 7bd6860, I don't believe they need to be any more.

File:

• src/sas/sascalc/dataloader/readers/cansas_reader_HDF5.py (modified) (3 diffs)

src/sas/sascalc/dataloader/readers/cansas_reader_HDF5.py

@@ -136 +136 @@
                 data_set = data[key][:]
                 unit = self._get_unit(value)
-
+                
                 ## I and Q Data
                 if key == u'I':
@@ -303 +303 @@
         ## Type cast data arrays to float64 and find min/max as appropriate
         for dataset in self.data2d:
-            dataset.data = np.delete(dataset.data, [0])
             dataset.data = dataset.data.astype(np.float64)
-            dataset.err_data = np.delete(dataset.err_data, [0])
             dataset.err_data = dataset.err_data.astype(np.float64)
-            dataset.mask = np.delete(dataset.mask, [0])
             if dataset.qx_data is not None:
-                dataset.qx_data = np.delete(dataset.qx_data, [0])
                 dataset.xmin = np.min(dataset.qx_data)
                 dataset.xmax = np.max(dataset.qx_data)
                 dataset.qx_data = dataset.qx_data.astype(np.float64)
             if dataset.dqx_data is not None:
-                dataset.dqx_data = np.delete(dataset.dqx_data, [0])
                 dataset.dqx_data = dataset.dqx_data.astype(np.float64)
             if dataset.qy_data is not None:
-                dataset.qy_data = np.delete(dataset.qy_data, [0])
                 dataset.ymin = np.min(dataset.qy_data)
                 dataset.ymax = np.max(dataset.qy_data)
                 dataset.qy_data = dataset.qy_data.astype(np.float64)
             if dataset.dqy_data is not None:
-                dataset.dqy_data = np.delete(dataset.dqy_data, [0])
                 dataset.dqy_data = dataset.dqy_data.astype(np.float64)
             if dataset.q_data is not None:
-                dataset.q_data = np.delete(dataset.q_data, [0])
                 dataset.q_data = dataset.q_data.astype(np.float64)
             zeros = np.ones(dataset.data.size, dtype=bool)
@@ -345 +337 @@
         for dataset in self.data1d:
             if dataset.x is not None:
-                dataset.x = np.delete(dataset.x, [0])
                 dataset.x = dataset.x.astype(np.float64)
                 dataset.xmin = np.min(dataset.x)
                 dataset.xmax = np.max(dataset.x)
             if dataset.y is not None:
-                dataset.y = np.delete(dataset.y, [0])
                 dataset.y = dataset.y.astype(np.float64)
                 dataset.ymin = np.min(dataset.y)
                 dataset.ymax = np.max(dataset.y)
             if dataset.dx is not None:
-                dataset.dx = np.delete(dataset.dx, [0])
                 dataset.dx = dataset.dx.astype(np.float64)
             if dataset.dxl is not None:
-                dataset.dxl = np.delete(dataset.dxl, [0])
                 dataset.dxl = dataset.dxl.astype(np.float64)
             if dataset.dxw is not None:
-                dataset.dxw = np.delete(dataset.dxw, [0])
                 dataset.dxw = dataset.dxw.astype(np.float64)
             if dataset.dy is not None:
-                dataset.dy = np.delete(dataset.dy, [0])
                 dataset.dy = dataset.dy.astype(np.float64)
             final_dataset = combine_data_info_with_plottable(dataset, self.current_datainfo)