Re #9919 Usage code with non executable python code.

Code/Mantid/docs/source/algorithms/LoadILL-v1.rst

@@ -21,4 +21,72 @@ be loaded from the Vanadium data.
 
 To date this algorithm only supports: IN4, IN5 and IN6
 
+Usage
+-----
+
+**Example - Load a regular histogram Nexus file:**
+(see :ref:`algm-LoadILL` for more options)
+
+.. code-block:: python
+
+   # Regular data file.
+   dataRegular = 'ILLIN6_151460.nxs'
+
+   # Load ILL dataset
+   ws = Load(dataRegular)
+
+   print "This workspace has", ws.getNumDims(), "dimensions and has", ws.getNumberHistograms(), "histograms."
+
+Output:
+
+   This workspace has 2 dimensions and has 340 histograms.
+
+
+
+**Example - Load a histogram Nexus file where the dispersion peak is higher than the elastic peak.
+An auxiliary vanadium file is needed to locate the elastic peak.:**
+(see :ref:`algm-LoadILL` for more options)
+
+.. code-block:: python
+
+   # Data file where the dispersion peak is higher than the elastic peak.
+   dataDispersionPeak = 'ILLIN5_Sample_096003.nxs'
+
+   # Vanadium file collected in the same conditions as the dispersion peak dataset.
+   vanaDispersionPeak = 'ILLIN5_Vana_095893.nxs'
+
+   # Load ILL dispersion peak dataset and a vanadium dataset
+   ws = Load(dataDispersionPeak, FilenameVanadium=vanaDispersionPeak)
+
+   print "This workspace has", ws.getNumDims(), "dimensions and has", ws.getNumberHistograms(), "histograms."
+
+Output:
+
+   This workspace has 2 dimensions and has 98305 histograms.
+
+**Example - Same example as above, but the vanadium file is loaded in advance. The dataset for the dispersion peak is loaded after, using the auxiliary vanadium workspace.:**
+(see :ref:`algm-LoadILL` for more options)
+
+.. code-block:: python
+
+   # Data file where the dispersion peak is higher than the elastic peak.
+   dataDispersionPeak = 'ILLIN5_Sample_096003.nxs'
+
+   # Vanadium file collected in the same conditions as the dispersion peak dataset.
+   vanaDispersionPeak = 'ILLIN5_Vana_095893.nxs'
+
+   # Load the Vanadium
+   wsVana = Load(dataDispersionPeak)
+
+   # Load ILL dispersion peak dataset and a vanadium dataset
+   wsData = Load(dataDispersionPeak, WorkspaceVanadium=wsVana)
+
+   print "The Vanadium workspace has", wsVana.getNumDims(), "dimensions and has", wsVana.getNumberHistograms(), "histograms."
+   print "The Data workspace has", wsData.getNumDims(), "dimensions and has", wsData.getNumberHistograms(), "histograms."
+
+Output:
+
+	The Vanadium workspace has 2 dimensions and has 98305 histograms.
+	The Data workspace has 2 dimensions and has 98305 histograms.
+
 .. categories::

Code/Mantid/docs/source/algorithms/LoadILLAscii-v1.rst

@@ -9,9 +9,26 @@
 Description
 -----------
 
- Loads an ILL Ascii / Raw data file into an MDEventWorkspace with the given name.
- To date this Loader is only compatible with non-TOF instruments.
+Loads an ILL Ascii / Raw data file into an MDEventWorkspace with the given name.
+To date this Loader is only compatible with non-TOF instruments.
 
- Supported instruments : ILL D2B
+Supported instruments : ILL D2B
 
- .. categories::
+Usage
+-----
+
+**Example - Load ILL D2B Ascii file:**
+(see :ref:`algm-LoadILLAscii` for more options)
+
+.. code-block:: python
+
+   # Load ILL D2B data file into a Multi dimensional workspace.
+   ws = Load('ILLD2B_121459.txt')
+
+   print "This workspace has", ws.getNumDims(), "dimensions and", ws.getNEvents(), "events."
+
+Output:
+
+	This workspace has 3 dimensions and 409600 events.
+
+.. categories::

Code/Mantid/docs/source/algorithms/LoadILLIndirect-v1.rst

@@ -16,4 +16,20 @@ The Units axis is defined with *empty* units. The main purpose of this loader is
 
 To date this algorithm only supports: IN16B
 
+Usage
+-----
+
+**Example - Load ILL IN16B NeXus file:**
+
+.. code-block:: python
+
+   # Load ILL IN16B data file into a workspace 2D.
+   ws = Load('ILLIN16B_034745.nxs')
+
+   print "This workspace has", ws.getNumDims(), "dimensions and has", ws.getNumberHistograms(), "histograms."
+
+Output:
+
+	This workspace has 2 dimensions and has 2057 histograms.
+
 .. categories::

Code/Mantid/docs/source/algorithms/LoadILLReflectometry-v1.rst

@@ -0,0 +1,36 @@
+.. algorithm::
+
+.. summary::
+
+.. alias::
+
+.. properties::
+
+Description
+-----------
+
+Loads an ILL Reflectometry instrument NeXus file into a `Workspace2D <http://www.mantidproject.org/Workspace2D>`_ with
+the given name.
+
+This loader reads the detector position from the NeXus file and places it at the right position.
+It supports both TOF and non TOF modes.
+
+To date this Loader only supports D17 data.
+
+Usage
+-----
+
+**Example - Load ILL D17 NeXus file:**
+
+.. code-block:: python
+
+   # Load ILL D17 data file into a workspace 2D.
+   ws = Load('ILLD17_111686.nxs')
+
+   print "This workspace has", ws.getNumDims(), "dimensions and has", ws.getNumberHistograms(), "histograms."
+
+Output:
+
+	This workspace has 2 dimensions and has 258 histograms.
+
+.. categories::

Code/Mantid/docs/source/algorithms/LoadILLSANS-v1.rst

@@ -9,7 +9,26 @@
 Description
 -----------
 
-Loads an ILL D33 nexus file into a `Workspace2D <http://www.mantidproject.org/Workspace2D>`_ with
+Loads an ILL D33 NeXus file into a `Workspace2D <http://www.mantidproject.org/Workspace2D>`_ with
 the given name.
 
+This loader reads the detector positions from the NeXus file and places all the five detectors (front and back) at the right positions.
+It supports both TOF and non TOF modes.
+
+Usage
+-----
+
+**Example - Load ILL D33 NeXus file:**
+
+.. code-block:: python
+
+   # Load ILL D33 data file into a workspace 2D.
+   ws = Load('ILLD33_sample_001425.nxs')
+
+   print "This workspace has", ws.getNumDims(), "dimensions and has", ws.getNumberHistograms(), "histograms."
+
+Output:
+
+	This workspace has 2 dimensions and has 65538 histograms.
+
 .. categories::

Code/Mantid/docs/source/algorithms/LoadLLB-v1.rst

@@ -16,4 +16,21 @@ This loader calculates the elastic peak position (EPP) on the fly.
 
 To date this algorithm only supports the MIBEMOL instrument.
 
+Usage
+-----
+
+**Example - Load a LLB MIBEMOL NeXus file:**
+(see :ref:`algm-LoadLLB` for more options)
+
+.. code-block:: python
+
+   # Load the MIBEMOL dataset into a workspace2D.
+   ws = Load('LLB_d22418.nxs')
+
+   print "This workspace has", ws.getNumDims(), "dimensions and its title is:", ws.getTitle()
+
+Output:
+
+   This workspace has 2 dimensions and its title is: Lysozyme/D2O (c=80 mg/ml) Treg=293 K, Tch=288 K  wl=5.2A  sous pression (4.5 kbar)
+
 .. categories::

Code/Mantid/docs/source/algorithms/SetupILLD33Reduction-v1.rst

@@ -12,7 +12,78 @@ Description
 Create a PropertyManager object setting the reduction options for ILL
 D33 SANS TOF instrument. The property manager object is then added to
 the PropertyManagerDataService.
+This was based on the :ref:`SetupEQSANSReduction <algm-SetupEQSANSReduction>`.
 
 See :ref:`SANSReduction <algm-SANSReduction>` for details.
 
+Usage
+-----
+
+**Example - Reduces D33 data from a set of NeXus files:**
+
+.. code-block:: python
+
+	maskedDetectors = [14709,14710,14711,14712,14713,14714,14715,14716,14717,14718,
+		14719,14720,14721,14722,14723,14724,14725,14726,14727,14728,14729,14730,14731,
+		14732,14733,14734,14735,14965,14966,14967,14968,14969,14970,14971,14972,14973,
+		14974,14975,14976,14977,14978,14979,14980,14981,14982,14983,14984,14985,14986,
+		14987,14988,14989,14990,14991,15221,15222,15223,15224,15225,15226,15227,15228,
+		15229,15230,15231,15232,15233,15234,15235,15236,15237,15238,15239,15240,15241,
+		15242,15243,15244,15245,15246,15247,15477,15478,15479,15480,15481,15482,15483,
+		15484,15485,15486,15487,15488,15489,15490,15491,15492,15493,15494,15495,15496,
+		15497,15498,15499,15500,15501,15502,15503,15733,15734,15735,15736,15737,15738,
+		15739,15740,15741,15742,15743,15744,15745,15746,15747,15748,15749,15750,15751,
+		15752,15753,15754,15755,15756,15757,15758,15759,15989,15990,15991,15992,15993,
+		15994,15995,15996,15997,15998,15999,16000,16001,16002,16003,16004,16005,16006,
+		16007,16008,16009,16010,16011,16012,16013,16014,16015,16245,16246,16247,16248,
+		16249,16250,16251,16252,16253,16254,16255,16256,16257,16258,16259,16260,16261,
+		16262,16263,16264,16265,16266,16267,16268,16269,16270,16271,16501,16502,16503,
+		16504,16505,16506,16507,16508,16509,16510,16511,16512,16513,16514,16515,16516,
+		16517,16518,16519,16520,16521,16522,16523,16524,16525,16526,16527,16757,16758,
+		16759,16760,16761,16762,16763,16764,16765,16766,16767,16768,16769,16770,16771,
+		16772,16773,16774,16775,16776,16777,16778,16779,16780,16781,16782,16783,17013,
+		17014,17015,17016,17017,17018,17019,17020,17021,17022,17023,17024,17025,17026,
+		17027,17028,17029,17030,17031,17032,17033,17034,17035,17036,17037,17038,17039,
+		17269,17270,17271,17272,17273,17274,17275,17276,17277,17278,17279,17280,17281,
+		17282,17283,17284,17285,17286,17287,17288,17289,17290,17291,17292,17293,17294,
+		17295,17525,17526,17527,17528,17529,17530,17531,17532,17533,17534,17535,17536,
+		17537,17538,17539,17540,17541,17542,17543,17544,17545,17546,17547,17548,17549,
+		17550,17551]
+
+	SetupILLD33Reduction(
+		MaskedDetectorList=maskedDetectors,
+		BeamCenterMethod="DirectBeam",
+		BeamCenterFile="ILLD33_direct_beam_transm_001427.nxs",
+		Normalisation="Timer",
+		DarkCurrentFile= "ILLD33_b4c_001420.nxs",
+		TransmissionMethod="DirectBeam",
+		TransmissionSampleDataFile= "ILLD33_sample_transm_001431.nxs",
+		TransmissionEmptyDataFile= "ILLD33_direct_beam_transm_001427.nxs",
+		BckTransmissionEmptyDataFile= "ILLD33_direct_beam_transm_001427.nxs",
+		TransmissionBeamRadius = 3,
+		TransmissionUseSampleDC=False,
+		BackgroundFiles= "ILLD33_empty_cell_001422.nxs",
+		BckTransmissionSampleDataFile="ILLD33_empty_cell_transm_001428.nxs",
+		DoAzimuthalAverage=False,	
+		Do2DReduction=False,
+		ComputeResolution=True,
+		ReductionProperties="d33")
+
+	# Reduce the data
+	output=SANSReduction(Filename="ILLD33_sample_001425.nxs", ReductionProperties="d33",OutputWorkspace="d33out")
+
+	# Rebin
+	Rebin(InputWorkspace='d33out',OutputWorkspace='d33out_rebin',Params='4,0.1,15')
+	
+	# Do a radial integration
+	SANSAzimuthalAverage1D(InputWorkspace='d33out_rebin',Binning='0.001,0.0002,0.03',OutputWorkspace='IQ_curve')
+
+
+	iq = mtd['IQ_curve']
+	print "This workspace has", iq.getNumDims(), "dimensions and has", iq.getNumberHistograms(), "histograms."
+
+Output:
+
+	This workspace has 2 dimensions and has 1 histograms.
+
 .. categories::