Add Algorithm Documentation

Framework/Algorithms/src/CreateMonteCarloWorkspace.cpp

@@ -13,12 +13,12 @@
 #include <vector>
 
 #include "MantidAPI/MatrixWorkspace.h"
+#include "MantidAPI/Progress.h"
 #include "MantidAPI/Workspace.h"
 #include "MantidAPI/WorkspaceFactory.h"
 #include "MantidAlgorithms/CreateMonteCarloWorkspace.h"
 #include "MantidKernel/BoundedValidator.h"
 #include "MantidKernel/Logger.h"
-#include "MantidAPI/Progress.h"
 
 namespace {
 Mantid::Kernel::Logger g_log("CreateMonteCarloWorkspace");
@@ -41,10 +41,12 @@ const std::string CreateMonteCarloWorkspace::name() const { return "CreateMonteC
 int CreateMonteCarloWorkspace::version() const { return 1; }
 
 /// Algorithm's category for identification. @see Algorithm::category
-const std::string CreateMonteCarloWorkspace::category() const { return "TODO: FILL IN A CATEGORY"; }
+const std::string CreateMonteCarloWorkspace::category() const { return "Simulation"; }
 
 /// Algorithm's summary for use in the GUI and help. @see Algorithm::summary
-const std::string CreateMonteCarloWorkspace::summary() const { return "TODO: FILL IN A SUMMARY"; }
+const std::string CreateMonteCarloWorkspace::summary() const {
+  return "Creates a randomly simulated workspace by sampling from the probability distribution of input data.";
+}
 
 //----------------------------------------------------------------------------------------------
 /** Initialize the algorithm's properties.
@@ -55,7 +57,8 @@ void CreateMonteCarloWorkspace::init() {
 
   declareProperty(std::make_unique<WorkspaceProperty<MatrixWorkspace>>("InputWorkspace", "", Direction::Input),
                   "Input Workspace containing data to be fitted");
-  declareProperty("Seed", 32, mustBePositive, "Integer that initializes a random-number generator");
+  declareProperty("Seed", 32, mustBePositive,
+                  "Integer that initializes a random-number generator, good for reproducibility");
   declareProperty(std::make_unique<WorkspaceProperty<MatrixWorkspace>>("OutputWorkspace", "", Direction::Output),
                   "Name of output workspace.");
 }
@@ -105,7 +108,6 @@ void CreateMonteCarloWorkspace::exec() {
   int numSteps = 7;
   API::Progress progress(this, 0.0, 1.0, numSteps);
 
-
   MatrixWorkspace_sptr instWs = getProperty("InputWorkspace");
   int seed_input = getProperty("Seed");
   progress.report();

docs/source/algorithms/CreateMonteCarloWorkspace-v1.rst

@@ -1,4 +1,3 @@
-
 .. algorithm::
 
 .. summary::
@@ -9,36 +8,46 @@
 
 Description
 -----------
-
-TODO: Enter a full rst-markup description of your algorithm here.
-
+The algorithm generates a simulated workspace by sampling from the probability
+distribution of input data, useful for testing of fitting functions and modeling.
+By generating a simulated dataset that mirrors the probability
+distribution of existing data.
 
 Usage
 -----
-..  Try not to use files in your examples,
-    but if you cannot avoid it then the (small) files must be added to
-    autotestdata\UsageData and the following tag unindented
-    .. include:: ../usagedata-note.txt
 
 **Example - CreateMonteCarloWorkspace**
 
-.. testcode:: CreateMonteCarloWorkspaceExample
+.. testcode:: Create simulation and compare
 
-   # Create a host workspace
-   ws = CreateWorkspace(DataX=range(0,3), DataY=(0,2))
-   or
-   ws = CreateSampleWorkspace()
+    from mantid.api import AnalysisDataService as ADS
 
-   wsOut = CreateMonteCarloWorkspace()
+    # Create Sample Workspace and Run Simulation
+    ws = CreateSampleWorkspace(Random= True)
+    wsOut = CreateMonteCarloWorkspace(InputWorkspace= 'ws', Seed= 32, OutputWorkspace= "New")
 
-   # Print the result
-   print "The output workspace has %%i spectra" %% wsOut.getNumberHistograms()
+    # Plot both of the above
+    fig, axes = plt.subplots(edgecolor='#ffffff', num='New', subplot_kw={'projection': 'mantid'})
+    for data, color, label in [(ADS.retrieve('New'), '#1f77b4', 'New: spec 1'),
+                               (ADS.retrieve('ws'), '#ff7f0e', 'ws: spec 1')]:
+        axes.plot(data, color=color, label=label, wkspIndex=0)
 
-Output:
+    axes.tick_params(axis='both', which='major', size=6, tickdir='out', width=1, gridOn=False, label1On=True)
+    axes.set(title='New', xlabel='Time-of-flight ($\\mu s$)', ylabel='Counts ($\\mu s$)$^{-1}$', ylim=[-0.00225, 0.04725])
+    axes.legend(fontsize=8.0).set_draggable(True)
 
-.. testoutput:: CreateMonteCarloWorkspaceExample
+    fig.show()
 
-  The output workspace has ?? spectra
+Output:
+    A histogram similar to the original but generated in a random way.
+
+.. image:: ../../../images/New.png
+   :alt: Overplot of simulated data over input data
+   :width: 500px
+   :height: 400px
+   :scale: 100%
+   :align: center
+   :class: custom-class
 
 .. categories::