diff --git a/Framework/PythonInterface/plugins/algorithms/SortXAxis.py b/Framework/PythonInterface/plugins/algorithms/SortXAxis.py
index 6a5c8dbb4d75109c7c23cdf5802e09e23e35d285..3f52326f69929c8b8e37e63399b374c8fd0c60a1 100644
--- a/Framework/PythonInterface/plugins/algorithms/SortXAxis.py
+++ b/Framework/PythonInterface/plugins/algorithms/SortXAxis.py
@@ -2,10 +2,9 @@
from __future__ import (absolute_import, division, print_function)
from mantid.api import AlgorithmFactory, MatrixWorkspaceProperty, PythonAlgorithm
-from mantid.kernel import Direction
+from mantid.kernel import Direction, StringListValidator
import numpy as np
-
class SortXAxis(PythonAlgorithm):
def category(self):
@@ -22,6 +21,11 @@ class SortXAxis(PythonAlgorithm):
doc="Input workspace")
self.declareProperty(MatrixWorkspaceProperty("OutputWorkspace", defaultValue="", direction=Direction.Output),
doc="Sorted Output Workspace")
+ self.declareProperty("Ordering",
+ defaultValue="Ascending",
+ validator=StringListValidator(["Ascending", "Descending"]),
+ direction=Direction.Input,
+ doc="Ascending or descending sorting")
def PyExec(self):
input_ws = self.getProperty('InputWorkspace').value
@@ -42,7 +46,12 @@ class SortXAxis(PythonAlgorithm):
indexes = x_data.argsort()
+ if self.getPropertyValue("Ordering") == "Descending":
+ self.log().notice("Sort descending")
+ indexes = indexes[::-1]
+
x_ordered = x_data[indexes]
+
if input_ws.isHistogramData():
max_index = np.argmax(indexes)
indexes = np.delete(indexes, max_index)
diff --git a/Framework/PythonInterface/test/python/plugins/algorithms/SortXAxisTest.py b/Framework/PythonInterface/test/python/plugins/algorithms/SortXAxisTest.py
index aba5747ceccdca292910f20f2b184719e41c7ffd..9b43e770f953ed20e7eaef4600dd635f58969ac8 100644
--- a/Framework/PythonInterface/test/python/plugins/algorithms/SortXAxisTest.py
+++ b/Framework/PythonInterface/test/python/plugins/algorithms/SortXAxisTest.py
@@ -8,9 +8,9 @@ class SortXAxisTest(unittest.TestCase):
def test_x_ascending(self):
- dataX = [1, 2, 3] # In ascending order, so y and e will need to be reversed.
- dataY = [1, 2, 3]
- dataE = [1, 2, 3]
+ dataX = [1., 2., 3.] # In ascending order, so y and e will need to be reversed.
+ dataY = [1., 2., 3.]
+ dataE = [1., 2., 3.]
unsortedws = CreateWorkspace(DataX=dataX,DataY=dataY,DataE=dataE,UnitX='TOF',Distribution=True)
# Run the algorithm
sortedws = SortXAxis(InputWorkspace=unsortedws)
@@ -25,9 +25,9 @@ class SortXAxisTest(unittest.TestCase):
DeleteWorkspace(sortedws)
def test_x_descending(self):
- dataX = [3, 2, 1] # In descending order, so y and e will need to be reversed.
- dataY = [1, 2, 3]
- dataE = [1, 2, 3]
+ dataX = [3., 2., 1.] # In descending order, so y and e will need to be reversed.
+ dataY = [1., 2., 3.]
+ dataE = [1., 2., 3.]
unsortedws = CreateWorkspace(DataX=dataX,DataY=dataY,DataE=dataE,UnitX='TOF',Distribution=True)
# Run the algorithm
sortedws = SortXAxis(InputWorkspace=unsortedws)
@@ -44,9 +44,9 @@ class SortXAxisTest(unittest.TestCase):
DeleteWorkspace(sortedws)
def test_on_multiple_spectrum(self):
- dataX = [3, 2, 1, 3, 2, 1] # In descending order, so y and e will need to be reversed.
- dataY = [1, 2, 3, 1, 2, 3]
- dataE = [1, 2, 3, 1, 2, 3]
+ dataX = [3., 2., 1., 3., 2., 1.] # In descending order, so y and e will need to be reversed.
+ dataY = [1., 2., 3., 1., 2., 3.]
+ dataE = [1., 2., 3., 1., 2., 3.]
unsortedws = CreateWorkspace(DataX=dataX,DataY=dataY,DataE=dataE,UnitX='TOF',Distribution=True, NSpec=2)
dataY.reverse()
dataE.reverse()
@@ -70,9 +70,9 @@ class SortXAxisTest(unittest.TestCase):
DeleteWorkspace(sortedws)
def test_sorts_x_histogram_ascending(self):
- dataX = [1, 2, 3, 4]
- dataY = [1, 2, 3]
- dataE = [1, 2, 3]
+ dataX = [1., 2., 3., 4.]
+ dataY = [1., 2., 3.]
+ dataE = [1., 2., 3.]
unsortedws = CreateWorkspace(DataX=dataX,DataY=dataY,DataE=dataE,UnitX='TOF',Distribution=False)
# Run the algorithm
sortedws = SortXAxis(InputWorkspace=unsortedws)
@@ -88,9 +88,9 @@ class SortXAxisTest(unittest.TestCase):
DeleteWorkspace(sortedws)
def test_sorts_x_histogram_descending(self):
- dataX = [4, 3, 2, 1]
- dataY = [1, 2, 3]
- dataE = [1, 2, 3]
+ dataX = [4., 3., 2., 1.]
+ dataY = [1., 2., 3.]
+ dataE = [1., 2., 3.]
unsortedws = CreateWorkspace(DataX=dataX,DataY=dataY,DataE=dataE,UnitX='TOF',Distribution=False)
# Run the algorithm
sortedws = SortXAxis(InputWorkspace=unsortedws)
@@ -111,9 +111,9 @@ class SortXAxisTest(unittest.TestCase):
# Create unsorted workspace
parent = AlgorithmManager.createUnmanaged('Load')
create_ws_alg = parent.createChildAlgorithm("CreateWorkspace")
- dataX = [4, 3, 2, 1]
- dataY = [1, 2, 3]
- dataE = [1, 2, 3]
+ dataX = [4., 3., 2., 1.]
+ dataY = [1., 2., 3.]
+ dataE = [1., 2., 3.]
create_ws_alg.setProperty("DataX", dataX)
create_ws_alg.setProperty("DataY", dataY)
create_ws_alg.setProperty("DataE", dataE)
@@ -153,9 +153,9 @@ class SortXAxisTest(unittest.TestCase):
DeleteWorkspace(sortedws)
def test_dx_histogram_ascending(self):
- dataX = [1, 2, 3, 4]
- dataY = [1, 2, 3]
- dx = [1, 2, 3]
+ dataX = [1., 2., 3., 4.]
+ dataY = [1., 2., 3.]
+ dx = [1., 2., 3.]
unsortedws = CreateWorkspace(DataX=dataX, DataY=dataY, Dx=dx, UnitX='TOF', Distribution=False)
# Run the algorithm
sortedws = SortXAxis(InputWorkspace=unsortedws)
@@ -165,5 +165,19 @@ class SortXAxisTest(unittest.TestCase):
DeleteWorkspace(unsortedws)
DeleteWorkspace(sortedws)
+ def test_sort_descending(self):
+ dataX = [1., 2., 3., 4.]
+ dataY = [1., 2., 3.]
+ unsortedws = CreateWorkspace(DataX=dataX, DataY=dataY, UnitX='TOF', Distribution=False)
+ # Run the algorithm
+ sortedws = SortXAxis(InputWorkspace=unsortedws, Ordering="Descending")
+ sortedX = sortedws.readX(0)
+ sortedY = sortedws.readY(0)
+ # Check the resulting data values. Sorting operation should have resulted in no changes
+ self.assertEqual([4., 3., 2., 1.], sortedX.tolist())
+ self.assertEqual([3., 2., 1.], sortedY.tolist())
+ DeleteWorkspace(unsortedws)
+ DeleteWorkspace(sortedws)
+
if __name__ == '__main__':
unittest.main()
diff --git a/docs/source/algorithms/SortXAxis-v1.rst b/docs/source/algorithms/SortXAxis-v1.rst
index 7d732196c1d2e12a03e9734d8bd3486a5fa5e642..a02d7ec28ed0c9a808d5e71f7c3f514d3f9a4df1 100644
--- a/docs/source/algorithms/SortXAxis-v1.rst
+++ b/docs/source/algorithms/SortXAxis-v1.rst
@@ -10,7 +10,7 @@ Description
-----------
Clones the input :ref:`Matrix Workspaces <MatrixWorkspace>` and orders the
-x-axis in an ascending fashion. Ensures that the y-axis and error data as well as optional Dx data
+x-axis in an ascending or descending fashion. Ensures that the y-axis and error data as well as optional Dx data
are sorted in a consistent way with the x-axis.
This algorithm is for use with small workspaces loaded. It is