diff --git a/docs/source/algorithms/TOFTOFCropWorkspace-v1.rst b/docs/source/algorithms/TOFTOFCropWorkspace-v1.rst
index c9aac22852b5be7dc22df0e66ac5bb04be2d75b2..c6a6dfcec8d1553170b1e229ca09bbfc00ca64a6 100644
--- a/docs/source/algorithms/TOFTOFCropWorkspace-v1.rst
+++ b/docs/source/algorithms/TOFTOFCropWorkspace-v1.rst
@@ -35,24 +35,24 @@ Usage
# Load data
ws=Load(Filename='TOFTOFTestdata.nxs')
- print "Input workspace"
- print "Total number of time channels: ", len(ws.readX(0))
- print "Number of filled time channels: ", ws.getRun().getLogData('full_channels').value
+ print("Input workspace")
+ print("Total number of time channels: {}".format(len(ws.readX(0))))
+ print ("Number of filled time channels: {}".format(ws.getRun().getLogData('full_channels').value))
wscropped = TOFTOFCropWorkspace(ws)
- print "Output workspace"
- print "Total number of time channels: ", len(wscropped.readX(0))
+ print("Output workspace")
+ print("Total number of time channels: {}".format(len(wscropped.readX(0))))
Output:
.. testoutput:: ExTOFTOFCropWorkspace
Input workspace
- Total number of time channels: 1025
- Number of filled time channels: 1020.0
+ Total number of time channels: 1025
+ Number of filled time channels: 1020.0
Output workspace
- Total number of time channels: 1020
+ Total number of time channels: 1020
.. categories::
diff --git a/docs/source/algorithms/TOFTOFMergeRuns-v1.rst b/docs/source/algorithms/TOFTOFMergeRuns-v1.rst
index f129e9ba5cc83599b4d5e6241ae41c75b9d0ed35..a82cb525d6bf8e42ccd6a77e8669690a95dc5a66 100644
--- a/docs/source/algorithms/TOFTOFMergeRuns-v1.rst
+++ b/docs/source/algorithms/TOFTOFMergeRuns-v1.rst
@@ -64,58 +64,58 @@ Usage
ws3 = TOFTOFMergeRuns('ws1,ws2')
# Temperature
- print "Temperature of experiment for 1st workspace (in K): ", ws1.getRun().getLogData('temperature').value
- print "Temperature of experiment for 2nd workspace (in K): ", ws2.getRun().getLogData('temperature').value
- print "Temperature of experiment for merged workspaces = average over workspaces (in K): ", ws3.getRun().getLogData('temperature').value
+ print("Temperature of experiment for 1st workspace (in K): {}".format(ws1.getRun().getLogData('temperature').value))
+ print("Temperature of experiment for 2nd workspace (in K): {}".format(ws2.getRun().getLogData('temperature').value))
+ print("Temperature of experiment for merged workspaces = average over workspaces (in K): {}".format( ws3.getRun().getLogData('temperature').value))
# Duration
- print "Duration of experiment for 1st workspace (in s): ", ws1.getRun().getLogData('duration').value
- print "Duration of experiment for 2nd workspace (in s): ", ws2.getRun().getLogData('duration').value
- print "Duration of experiment for merged workspaces = sum of all durations (in s): ", ws3.getRun().getLogData('duration').value
+ print("Duration of experiment for 1st workspace (in s): {}".format(ws1.getRun().getLogData('duration').value))
+ print("Duration of experiment for 2nd workspace (in s): {}".format(ws2.getRun().getLogData('duration').value))
+ print("Duration of experiment for merged workspaces = sum of all durations (in s): {}".format(ws3.getRun().getLogData('duration').value))
# Run start
- print "Start of experiment for 1st workspace: ", ws1.getRun().getLogData('run_start').value
- print "Start of experiment for 2nd workspace: ", ws2.getRun().getLogData('run_start').value
- print "Start of experiment for merged workspaces = miminum of all workspaces: ", ws3.getRun().getLogData('run_start').value
+ print("Start of experiment for 1st workspace: {}".format(ws1.getRun().getLogData('run_start').value))
+ print("Start of experiment for 2nd workspace: {}".format(ws2.getRun().getLogData('run_start').value))
+ print("Start of experiment for merged workspaces = miminum of all workspaces: {}".format(ws3.getRun().getLogData('run_start').value))
# Run end
- print "End of experiment for 1st workspace: ", ws1.getRun().getLogData('run_end').value
- print "End of experiment for 2nd workspace: ", ws2.getRun().getLogData('run_end').value
- print "End of experiment for merged workspaces = maximum of all workspaces: ", ws3.getRun().getLogData('run_end').value
+ print("End of experiment for 1st workspace: {}".format(ws1.getRun().getLogData('run_end').value))
+ print("End of experiment for 2nd workspace: {}".format(ws2.getRun().getLogData('run_end').value))
+ print("End of experiment for merged workspaces = maximum of all workspaces: {}".format(ws3.getRun().getLogData('run_end').value))
# Run number
- print "Run number for 1st workspace: ", ws1.getRun().getLogData('run_number').value
- print "Run number for 2nd workspace: ", ws2.getRun().getLogData('run_number').value
- print "Run number for merged workspaces = list of all workspaces: ", ws3.getRun().getLogData('run_number').value
+ print("Run number for 1st workspace: {}".format(ws1.getRun().getLogData('run_number').value))
+ print("Run number for 2nd workspace: {}".format(ws2.getRun().getLogData('run_number').value))
+ print("Run number for merged workspaces = list of all workspaces: {}".format(ws3.getRun().getLogData('run_number').value))
# Monitor counts
- print "Monitor counts for 1st workspace: ", ws1.getRun().getLogData('monitor_counts').value
- print "Monitor counts for 2nd workspace: ", ws2.getRun().getLogData('monitor_counts').value
- print "Monitor counts for merged workspaces = sum over all workspaces: ", ws3.getRun().getLogData('monitor_counts').value
+ print("Monitor counts for 1st workspace: {}".format(ws1.getRun().getLogData('monitor_counts').value))
+ print("Monitor counts for 2nd workspace: {}".format(ws2.getRun().getLogData('monitor_counts').value))
+ print("Monitor counts for merged workspaces = sum over all workspaces: {}".format(ws3.getRun().getLogData('monitor_counts').value))
Output:
.. testoutput:: ExTOFTOFMergeRuns2ws
- Temperature of experiment for 1st workspace (in K): 294.14
- Temperature of experiment for 2nd workspace (in K): 296.16
- Temperature of experiment for merged workspaces = average over workspaces (in K): 295.15
- Duration of experiment for 1st workspace (in s): 3601
- Duration of experiment for 2nd workspace (in s): 3601
- Duration of experiment for merged workspaces = sum of all durations (in s): 7202
- Start of experiment for 1st workspace: 2013-07-28T10:32:19+0053
- Start of experiment for 2nd workspace: 2013-07-28T11:32:19+0053
- Start of experiment for merged workspaces = miminum of all workspaces: 2013-07-28T10:32:19+0053
- End of experiment for 1st workspace: 2013-07-28T11:32:20+0053
- End of experiment for 2nd workspace: 2013-07-28T12:32:19+0053
- End of experiment for merged workspaces = maximum of all workspaces: 2013-07-28T12:32:19+0053
- Run number for 1st workspace: TOFTOFTestdata
- Run number for 2nd workspace: TOFTOFTestdata2
- Run number for merged workspaces = list of all workspaces: ['TOFTOFTestdata', 'TOFTOFTestdata2']
- Monitor counts for 1st workspace: 136935
- Monitor counts for 2nd workspace: 145145
- Monitor counts for merged workspaces = sum over all workspaces: 282080
+ Temperature of experiment for 1st workspace (in K): 294.14
+ Temperature of experiment for 2nd workspace (in K): 296.16
+ Temperature of experiment for merged workspaces = average over workspaces (in K): 295.15
+ Duration of experiment for 1st workspace (in s): 3601
+ Duration of experiment for 2nd workspace (in s): 3601
+ Duration of experiment for merged workspaces = sum of all durations (in s): 7202
+ Start of experiment for 1st workspace: 2013-07-28T10:32:19+0053
+ Start of experiment for 2nd workspace: 2013-07-28T11:32:19+0053
+ Start of experiment for merged workspaces = miminum of all workspaces: 2013-07-28T10:32:19+0053
+ End of experiment for 1st workspace: 2013-07-28T11:32:20+0053
+ End of experiment for 2nd workspace: 2013-07-28T12:32:19+0053
+ End of experiment for merged workspaces = maximum of all workspaces: 2013-07-28T12:32:19+0053
+ Run number for 1st workspace: TOFTOFTestdata
+ Run number for 2nd workspace: TOFTOFTestdata2
+ Run number for merged workspaces = list of all workspaces: ['TOFTOFTestdata', 'TOFTOFTestdata2']
+ Monitor counts for 1st workspace: 136935
+ Monitor counts for 2nd workspace: 145145
+ Monitor counts for merged workspaces = sum over all workspaces: 282080
**Example - Merge group of workspaces**
@@ -132,17 +132,17 @@ Output:
group=GroupWorkspaces('ws1,ws2')
groupmerged=TOFTOFMergeRuns(group)
- print "Monitor counts for 1st workspace: ", ws1.getRun().getLogData('monitor_counts').value
- print "Monitor counts for 2nd workspace: ", ws2.getRun().getLogData('monitor_counts').value
- print "Monitor counts for merged workspaces = sum over all workspaces: ", groupmerged.getRun().getLogData('monitor_counts').value
+ print("Monitor counts for 1st workspace: {}".format(ws1.getRun().getLogData('monitor_counts').value))
+ print("Monitor counts for 2nd workspace: {}".format(ws2.getRun().getLogData('monitor_counts').value))
+ print("Monitor counts for merged workspaces = sum over all workspaces: {}".format(groupmerged.getRun().getLogData('monitor_counts').value))
Output:
.. testoutput:: ExTOFTOFMergeRunsGroup
- Monitor counts for 1st workspace: 136935
- Monitor counts for 2nd workspace: 145145
- Monitor counts for merged workspaces = sum over all workspaces: 282080
+ Monitor counts for 1st workspace: 136935
+ Monitor counts for 2nd workspace: 145145
+ Monitor counts for merged workspaces = sum over all workspaces: 282080
.. categories::
diff --git a/docs/source/algorithms/TOSCABankCorrection-v1.rst b/docs/source/algorithms/TOSCABankCorrection-v1.rst
index 21a1da9a677f5faa15638beb7bb632d46cc22292..04ad8048292a66adf40c14b1016fe2bc9f54597a 100644
--- a/docs/source/algorithms/TOSCABankCorrection-v1.rst
+++ b/docs/source/algorithms/TOSCABankCorrection-v1.rst
@@ -71,7 +71,7 @@ Usage
corrected_reduction, peak_position, scale_factor_1, scale_factor_2 = \
TOSCABankCorrection(InputWorkspace=original_reduction)
- print 'Target peak centre: %.f' % peak_position
+ print('Target peak centre: %.f' % peak_position)
Output:
@@ -89,7 +89,7 @@ Output:
TOSCABankCorrection(InputWorkspace=original_reduction,
PeakPosition='715')
- print 'Target peak centre: %.f' % peak_position
+ print( )'Target peak centre: %.f' % peak_position)
Output:
diff --git a/docs/source/algorithms/TransformHKL-v1.rst b/docs/source/algorithms/TransformHKL-v1.rst
index 04b403ae80eab55e5af363f1a7347e1a26088e4b..8777193cd86f0c4277d25b68d48db0e20ef292bb 100644
--- a/docs/source/algorithms/TransformHKL-v1.rst
+++ b/docs/source/algorithms/TransformHKL-v1.rst
@@ -30,13 +30,13 @@ Usage
ws=LoadIsawPeaks("TOPAZ_3007.peaks")
FindUBUsingFFT(ws,MinD=8.0,MaxD=13.0)
- print "Before Transformation:"
- print ws.sample().getOrientedLattice().getUB()
+ print("Before Transformation:")
+ print(ws.sample().getOrientedLattice().getUB())
#This HKLTransform is a matrix that will swap H and K and negate L
TransformHKL(ws,HKLTransform="0,1,0,1,0,0,0,0,-1")
- print "\nAfter Transformation:"
- print ws.sample().getOrientedLattice().getUB()
+ print("\nAfter Transformation:")
+ print(ws.sample().getOrientedLattice().getUB())
Output:
diff --git a/docs/source/algorithms/TransformToIqt-v1.rst b/docs/source/algorithms/TransformToIqt-v1.rst
index 3e97d8178b7a0e61a3fa45b6ea8146095c7fcb97..65aa3e41c86194f75c46dfdb4604885438194705 100644
--- a/docs/source/algorithms/TransformToIqt-v1.rst
+++ b/docs/source/algorithms/TransformToIqt-v1.rst
@@ -104,8 +104,8 @@ Usage
EnergyMax=0.5,
BinReductionFactor=10)
- print 'Number of output bins: %d' % (params.cell('SampleOutputBins', 0))
- print 'Resolution bins: %d' % (params.cell('ResolutionBins', 0))
+ print('Number of output bins: %d' % (params.cell('SampleOutputBins', 0)))
+ print('Resolution bins: %d' % (params.cell('ResolutionBins', 0)))
Output:
diff --git a/docs/source/algorithms/Transpose-v1.rst b/docs/source/algorithms/Transpose-v1.rst
index 76e7264c9fe13dcce77b8bdea178ab1f2313ea43..0f1b630b43aabf2003e227a0a3dd40c331514c1c 100644
--- a/docs/source/algorithms/Transpose-v1.rst
+++ b/docs/source/algorithms/Transpose-v1.rst
@@ -33,16 +33,16 @@ Usage
# Create a workspace with 2 banks and 4 pixels per bank (8 spectra)
# and X axis with 100 bins
ws = CreateSampleWorkspace(BankPixelWidth=2)
- print "Rank before = (", ws.getNumberHistograms(), ",", ws.blocksize(), ")"
+ print("Rank before = ( {0}, {1} )".format(ws.getNumberHistograms(),ws.blocksize()))
ws = Transpose(ws)
- print "Rank after = (", ws.getNumberHistograms(), ",", ws.blocksize(), ")"
+ print("Rank after = ( {0}, {1} )".format(ws.getNumberHistograms(),ws.blocksize()))
Output:
.. testoutput:: Ex
- Rank before = ( 8 , 100 )
- Rank after = ( 100 , 8 )
+ Rank before = ( 8, 100 )
+ Rank after = ( 100, 8 )
.. categories::
diff --git a/docs/source/algorithms/TransposeMD-v1.rst b/docs/source/algorithms/TransposeMD-v1.rst
index 479c69a0515e635cf711c48fa7d90a05578506b1..3d2715ce1eee33da28cc1dee78cc50792ddfb75c 100644
--- a/docs/source/algorithms/TransposeMD-v1.rst
+++ b/docs/source/algorithms/TransposeMD-v1.rst
@@ -21,16 +21,16 @@ Usage
def print_dims(ws):
for i in range(ws.getNumDims()):
- print 'Dimension %i is %s' % (i, ws.getDimension(i).name)
+ print('Dimension %i is %s' % (i, ws.getDimension(i).name))
mdws = CreateMDWorkspace(Dimensions=3, Extents='-10,10,-10,10,-10,10', Names='A,B,C', Units='U,U,U')
FakeMDEventData(InputWorkspace=mdws, PeakParams='500000,0,0,0,3')
binned = BinMD(InputWorkspace=mdws, AlignedDim0='A,0,10,100', AlignedDim1='B,-10,10,100', AlignedDim2='C,-10,10,1')
- print 'Dimensions before', binned.getNumDims()
+ print('Dimensions before {}'.format(binned.getNumDims()))
print_dims(binned)
# Transpose the workspace
transposed = TransposeMD(binned, Axes=[1,0])
- print 'Dimensions after', transposed.getNumDims()
+ print('Dimensions after {}'.format(transposed.getNumDims()))
print_dims(transposed)
Output:
diff --git a/docs/source/algorithms/UnwrapMonitor-v1.rst b/docs/source/algorithms/UnwrapMonitor-v1.rst
index b197d2b9de730e567ea25006d6bf5e4e682428bc..975f40952458004f623e0abb27bdc4354a4a80d1 100644
--- a/docs/source/algorithms/UnwrapMonitor-v1.rst
+++ b/docs/source/algorithms/UnwrapMonitor-v1.rst
@@ -100,7 +100,7 @@ Usage
# To access individual outputs use result[i] where i is the index of the required output.
result = UnwrapMonitor(InputWorkspace=ws,LRef=11)
- print "JoinWaveLength is: " + str(result[1])
+ print("JoinWaveLength is: " + str(result[1]))
Output:
diff --git a/docs/source/algorithms/UnwrapSNS-v1.rst b/docs/source/algorithms/UnwrapSNS-v1.rst
index 7331b37c348018d3b5d04c5c440b50813aec8b0b..2ebcc6c4e9548e1af53e0d947f3166ec0799be18 100644
--- a/docs/source/algorithms/UnwrapSNS-v1.rst
+++ b/docs/source/algorithms/UnwrapSNS-v1.rst
@@ -54,8 +54,8 @@ Usage
ws = CreateSampleWorkspace("Event",NumBanks=1,BankPixelWidth=1)
wsOut = UnwrapSNS(ws,LRef=10)
- print "Input", ws.readY(0)[ws.blocksize()-1]
- print "Output", wsOut.readY(0)[wsOut.blocksize()-1]
+ print("Input {}".format(ws.readY(0)[ws.blocksize()-1]))
+ print("Output {}".format(wsOut.readY(0)[wsOut.blocksize()-1]))
Output:
diff --git a/docs/source/algorithms/UpdateInstrumentFromFile-v1.rst b/docs/source/algorithms/UpdateInstrumentFromFile-v1.rst
index aaf7babcb7dffa71df890d261ca68dc16af96942..32d2db412416b71e9f2369202cfd066e7c51132d 100644
--- a/docs/source/algorithms/UpdateInstrumentFromFile-v1.rst
+++ b/docs/source/algorithms/UpdateInstrumentFromFile-v1.rst
@@ -82,7 +82,7 @@ Usage
''' print first 10 detectors from given instrument '''
# get first 10 detectors using detector ID
- print "{0} {1} instrument".format(instr_type, instr.getName())
+ print("{0} {1} instrument".format(instr_type, instr.getName()))
for i in xrange(0,10):
if i<3:
detBase = 1
@@ -91,8 +91,8 @@ Usage
detID = detBase+i
det1 = instr.getDetector(detID);
pos = det1.getPos();
- print 'det with ID: {0:5} is monitor? {1:5}, polar angle: {2:10.3f}, position: | {3:<10.3f} | {4:<10.3f} | {5:<10.3f}|\n'.format(\
- detID,det1.isMonitor(),(det1.getPhi()*(180/math.pi)),pos.X(),pos.Y(),pos.Z()),
+ print('det with ID: {0:5} is monitor? {1:5}, polar angle: {2:10.3f}, position: | {3:<10.3f} | {4:<10.3f} | {5:<10.3f}|'.format(\
+ detID,det1.isMonitor(),(det1.getPhi()*(180/math.pi)),pos.X(),pos.Y(),pos.Z()))
print '*********************************************************************************'
#--------------------------------------------------------------------------------------
diff --git a/docs/source/algorithms/UpdatePeakParameterTableValue-v1.rst b/docs/source/algorithms/UpdatePeakParameterTableValue-v1.rst
index 4628e8697d3c456900937dfb3bc82f0650fa3412..ac2bcafff2dedc7c70b00951b83400417d8c4e50 100644
--- a/docs/source/algorithms/UpdatePeakParameterTableValue-v1.rst
+++ b/docs/source/algorithms/UpdatePeakParameterTableValue-v1.rst
@@ -64,11 +64,11 @@ Usage
tablews.addRow(["A", 1.34])
tablews.addRow(["B", 2.34])
- print "Value before %.2f" % tablews.cell(0, 1)
+ print("Value before %.2f" % tablews.cell(0, 1))
UpdatePeakParameterTableValue(tablews, Column="Value", ParameterNames=["A"], NewFloatValue=1.00)
- print "Value after %.2f" % tablews.cell(0, 1)
+ print("Value after %.2f" % tablews.cell(0, 1))
Output:
diff --git a/docs/source/algorithms/VesuvioCalculateGammaBackground-v1.rst b/docs/source/algorithms/VesuvioCalculateGammaBackground-v1.rst
index a011c099c97fc7d004415c9954584b44714684ad..1f627b96cbc28d9ee874707435dcedbd1ae621b7 100644
--- a/docs/source/algorithms/VesuvioCalculateGammaBackground-v1.rst
+++ b/docs/source/algorithms/VesuvioCalculateGammaBackground-v1.rst
@@ -57,9 +57,9 @@ Usage
corrected, background = VesuvioCalculateGammaBackground(tof_ws, ComptonFunction=mass_function,
WorkspaceIndexList=0)
- print "First 5 values of input:", tof_ws.readY(0)[0:4]
- print "First 5 values of background:", background.readY(0)[0:4]
- print "First 5 values of corrected:", corrected.readY(0)[0:4]
+ print("First 5 values of input: {}".format(tof_ws.readY(0)[0:4]))
+ print("First 5 values of background: {}".format(background.readY(0)[0:4]))
+ print("First 5 values of corrected: {}".format(corrected.readY(0)[0:4]))
Output:
@@ -89,8 +89,8 @@ Output:
mass_function = "name=GaussianComptonProfile,Mass=1.0079,Width=0.4,Intensity=1.1"
corrected, background = VesuvioCalculateGammaBackground(tof_ws, ComptonFunction=mass_function)
- print "Number of background spectra:", background.getNumberHistograms()
- print "Number of corrected spectra:", corrected.getNumberHistograms()
+ print("Number of background spectra: {}".format(background.getNumberHistograms()))
+ print("Number of corrected spectra: {}".format(corrected.getNumberHistograms()))
Output:
diff --git a/docs/source/algorithms/VesuvioDiffractionReduction-v1.rst b/docs/source/algorithms/VesuvioDiffractionReduction-v1.rst
index b6ee15aa0185a53934fa5ff0704ad4c00f895968..7e040f332f19c5298052d73e831fc00546dd9c4c 100644
--- a/docs/source/algorithms/VesuvioDiffractionReduction-v1.rst
+++ b/docs/source/algorithms/VesuvioDiffractionReduction-v1.rst
@@ -38,9 +38,9 @@ Usage
ws = mtd['DiffractionReductions'].getItem(0)
- print 'Workspace name: %s' % ws.name()
- print 'Number of spectra: %d' % ws.getNumberHistograms()
- print 'Number of bins: %s' % ws.blocksize()
+ print('Workspace name: %s' % ws.name())
+ print('Number of spectra: %d' % ws.getNumberHistograms())
+ print('Number of bins: %s' % ws.blocksize())
Output:
diff --git a/docs/source/algorithms/VesuvioL1ThetaResolution-v1.rst b/docs/source/algorithms/VesuvioL1ThetaResolution-v1.rst
index 7515964d0829ea72b58ffbf7577a1d7314858278..c27d0c3dc6dd974bee56930d111dbe3fe3d8aaa8 100644
--- a/docs/source/algorithms/VesuvioL1ThetaResolution-v1.rst
+++ b/docs/source/algorithms/VesuvioL1ThetaResolution-v1.rst
@@ -27,10 +27,10 @@ Usage
resolution, l1_dist, theta_dist = VesuvioL1ThetaResolution(NumEvents=1000)
resolution_spec_names = resolution.getAxis(1).extractValues()
- print "Resolution spectra: %s" % (', '.join(resolution_spec_names))
+ print("Resolution spectra: %s" % (', '.join(resolution_spec_names)))
- print "L1 distribution spectra count: %d" % (l1_dist.getNumberHistograms())
- print "Theta distribution spectra count: %d" % (theta_dist.getNumberHistograms())
+ print("L1 distribution spectra count: %d" % (l1_dist.getNumberHistograms()))
+ print("Theta distribution spectra count: %d" % (theta_dist.getNumberHistograms()))
Output:
diff --git a/docs/source/algorithms/VesuvioResolution-v1.rst b/docs/source/algorithms/VesuvioResolution-v1.rst
index f1bb8bbc00a94652d31cf93e09ec2971191b8401..96a8742dedabc6cc24e4514fcead1b1b8cce46a4 100644
--- a/docs/source/algorithms/VesuvioResolution-v1.rst
+++ b/docs/source/algorithms/VesuvioResolution-v1.rst
@@ -34,7 +34,7 @@ Usage
tof, ysp = VesuvioResolution(Workspace=tof_ws, Mass=1.0079)
- print 'Resolution in %s and %s.' % (tof.getAxis(0).getUnit().symbol(), ysp.getAxis(0).getUnit().symbol())
+ print('Resolution in %s and %s.' % (tof.getAxis(0).getUnit().symbol(), ysp.getAxis(0).getUnit().symbol()))
Output:
diff --git a/docs/source/algorithms/VesuvioThickness-v1.rst b/docs/source/algorithms/VesuvioThickness-v1.rst
index 16b324c623a25b5afc1305e0b5197458c56ffcdc..9933d3fe52a4a0b0fa7919ddc60a6511d7012ca5 100644
--- a/docs/source/algorithms/VesuvioThickness-v1.rst
+++ b/docs/source/algorithms/VesuvioThickness-v1.rst
@@ -30,8 +30,8 @@ Usage
dens_tbl, trans_tbl = VesuvioThickness(masses, amplitudes, trans_guess, thickness, number_density)
# Test output
- print "The final density is: %.4f" % dens_tbl.cell(9,1)
- print "The final transmission is: %.4f" % trans_tbl.cell(9,1)
+ print("The final density is: %.4f" % dens_tbl.cell(9,1))
+ print("The final transmission is: %.4f" % trans_tbl.cell(9,1))
Output:
diff --git a/docs/source/algorithms/ViewBOA-v1.rst b/docs/source/algorithms/ViewBOA-v1.rst
index b5f5f02969cb25ffee068e48f8a144af3aee78f3..5ff2f80045b9e19b5c9199a13d6afe0504cf1dde 100644
--- a/docs/source/algorithms/ViewBOA-v1.rst
+++ b/docs/source/algorithms/ViewBOA-v1.rst
@@ -41,9 +41,9 @@ The following code loads a BOA file and prints out information about the wavelen
lamdba_distribution = mtd['histogram61'].readY(0)
lambda_values = mtd['histogram61'].readX(0)
- print "The wavelength spectrum is described by", len(lamdba_distribution),"points."
- print "The range covered is", round(lambda_values[0], 4), "-", round(lambda_values[-1], 4), "Angstrom."
- print "The maximum is located at", round(lambda_values[np.argmax(lamdba_distribution)], 4), "Angstrom."
+ print("The wavelength spectrum is described by {}".format(len(lamdba_distribution),"points."))
+ print("The range covered is {0} - {1} Angstrom.".format(round(lambda_values[0], 4),round(lambda_values[-1], 4)))
+ print("The maximum is located at {} Angstrom.".format(round(lambda_values[np.argmax(lamdba_distribution)], 4)))
This script leads to the following output:
diff --git a/docs/source/algorithms/WeightedMean-v1.rst b/docs/source/algorithms/WeightedMean-v1.rst
index c23f8b132457ae3f287836fab845f25635920b2c..c442760088bbcc79487f6b5aac6f846b6dbda992 100644
--- a/docs/source/algorithms/WeightedMean-v1.rst
+++ b/docs/source/algorithms/WeightedMean-v1.rst
@@ -33,9 +33,9 @@ Usage
# perform the algorithm
ws = WeightedMean(ws1, ws2)
- print "The X values are: " + str(ws.readX(0))
- print "The Y values are: " + str(ws.readY(0))
- print "The E values are: " + str(ws.readE(0))
+ print("The X values are: " + str(ws.readX(0)))
+ print("The Y values are: " + str(ws.readY(0)))
+ print("The E values are: " + str(ws.readE(0)))
Output:
diff --git a/docs/source/algorithms/WeightedMeanOfWorkspace-v1.rst b/docs/source/algorithms/WeightedMeanOfWorkspace-v1.rst
index 8c512b7c946d6209ed404878ad9832716fb092d7..637b0379f9d50d8bd4d04b93e02c18360c76ea3b 100644
--- a/docs/source/algorithms/WeightedMeanOfWorkspace-v1.rst
+++ b/docs/source/algorithms/WeightedMeanOfWorkspace-v1.rst
@@ -30,8 +30,8 @@ Usage
dataE = range(1,12)
ws = CreateWorkspace(dataX, dataY, dataE)
ws1 = WeightedMeanOfWorkspace(ws)
- print "Weighted Mean of Workspace:", str(ws1.readY(0))
- print "Weighted Mean Error of Workspace:", str(ws1.readE(0))
+ print("Weighted Mean of Workspace: {}".format(str(ws1.readY(0))))
+ print("Weighted Mean Error of Workspace: {}".format(str(ws1.readE(0))))
Output: