Changeset 9a5097c in sasview for src/sas/sascalc/data_util/uncertainty.py

Timestamp:

Mar 26, 2017 9:33:16 PM (7 years ago)

Author:

andyfaff

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:

ed2276f

Parents:

9146ed9

Message:

MAINT: import numpy as np

File:

• src/sas/sascalc/data_util/uncertainty.py (modified) (4 diffs)

src/sas/sascalc/data_util/uncertainty.py

@@ -17 +17 @@
 from __future__ import division
 
-import numpy
+import numpy as np
 import err1d
 from formatnum import format_uncertainty
@@ -27 +27 @@
 class Uncertainty(object):
     # Make standard deviation available
-    def _getdx(self): return numpy.sqrt(self.variance)
+    def _getdx(self): return np.sqrt(self.variance)
     def _setdx(self,dx): 
         # Direct operation
@@ -144 +144 @@
         return self
     def __abs__(self):
-        return Uncertainty(numpy.abs(self.x),self.variance)
+        return Uncertainty(np.abs(self.x),self.variance)
 
     def __str__(self):
-        #return str(self.x)+" +/- "+str(numpy.sqrt(self.variance))
-        if numpy.isscalar(self.x):
-            return format_uncertainty(self.x,numpy.sqrt(self.variance))
+        #return str(self.x)+" +/- "+str(np.sqrt(self.variance))
+        if np.isscalar(self.x):
+            return format_uncertainty(self.x,np.sqrt(self.variance))
         else:
             return [format_uncertainty(v,dv) 
-                    for v,dv in zip(self.x,numpy.sqrt(self.variance))]
+                    for v,dv in zip(self.x,np.sqrt(self.variance))]
     def __repr__(self):
         return "Uncertainty(%s,%s)"%(str(self.x),str(self.variance))
@@ -287 +287 @@
     # =============== vector operations ================
     # Slicing
-    z = Uncertainty(numpy.array([1,2,3,4,5]),numpy.array([2,1,2,3,2]))
+    z = Uncertainty(np.array([1,2,3,4,5]),np.array([2,1,2,3,2]))
     assert z[2].x == 3 and z[2].variance == 2
     assert (z[2:4].x == [3,4]).all()
     assert (z[2:4].variance == [2,3]).all()
-    z[2:4] = Uncertainty(numpy.array([8,7]),numpy.array([4,5]))
+    z[2:4] = Uncertainty(np.array([8,7]),np.array([4,5]))
     assert z[2].x == 8 and z[2].variance == 4
-    A = Uncertainty(numpy.array([a.x]*2),numpy.array([a.variance]*2))
-    B = Uncertainty(numpy.array([b.x]*2),numpy.array([b.variance]*2))
+    A = Uncertainty(np.array([a.x]*2),np.array([a.variance]*2))
+    B = Uncertainty(np.array([b.x]*2),np.array([b.variance]*2))
 
     # TODO complete tests of copy and inplace operations for vectors and slices.