diff --git a/docs/source/algorithms/SavePDFGui-v1.rst b/docs/source/algorithms/SavePDFGui-v1.rst
index 6bdb8bc8ae173857f61053e9a823726c56ce5ca5..1b964b46487f3c36a715f61bcb99ea421ad64142 100644
--- a/docs/source/algorithms/SavePDFGui-v1.rst
+++ b/docs/source/algorithms/SavePDFGui-v1.rst
@@ -35,7 +35,7 @@ Usage
SavePDFGui(ws, path)
# Check that the file exists
- print os.path.isfile(path)
+ print(os.path.isfile(path))
Output:
diff --git a/docs/source/algorithms/SavePHX-v1.rst b/docs/source/algorithms/SavePHX-v1.rst
index abf97197231823f782587e0c9e7222411a56581c..49ff0e73bb50dc739b1bebdef2662441fcd1b8df 100644
--- a/docs/source/algorithms/SavePHX-v1.rst
+++ b/docs/source/algorithms/SavePHX-v1.rst
@@ -56,13 +56,13 @@ Usage
# import os funcions to work with folders
import os
# create sample workspace
- ws=CreateSampleWorkspace();
+ ws=CreateSampleWorkspace()
# test file name
file_name = os.path.join(config["defaultsave.directory"], "TestSavePhx.phx")
# save the file
SavePHX(ws,Filename=file_name);
- print "target file exists? {0}".format(os.path.exists(file_name));
+ print("target file exists? {0}".format(os.path.exists(file_name)))
.. testcleanup:: exSavePHX
diff --git a/docs/source/algorithms/SaveParameterFile-v1.rst b/docs/source/algorithms/SaveParameterFile-v1.rst
index 2407ebd1526409ab7cc074faba58d70e55605b2d..3903cf34bd7a16d0ba5cf6deda24c5a531b89320 100644
--- a/docs/source/algorithms/SaveParameterFile-v1.rst
+++ b/docs/source/algorithms/SaveParameterFile-v1.rst
@@ -37,7 +37,7 @@ Usage
#Make sure the file was written successfully
if os.path.isfile(filename):
- print "Parameters written successfully."
+ print("Parameters written successfully.")
.. testcleanup::
diff --git a/docs/source/algorithms/SavePlot1D-v1.rst b/docs/source/algorithms/SavePlot1D-v1.rst
index 1803d9a912e8c32020019999916f8d020eef095a..b5f9ad78c892a5caeb320cdd1fab6f4f90f99009 100644
--- a/docs/source/algorithms/SavePlot1D-v1.rst
+++ b/docs/source/algorithms/SavePlot1D-v1.rst
@@ -72,7 +72,7 @@ Usage in autoreduction
div = SavePlot1D(InputWorkspace='w1', OutputType='plotly')
from postprocessing.publish_plot import publish_plot
request = publish_plot('TESTINSTRUMENT', 12345, files={'file':div})
- print "post returned %d" % request.status_code
+ print("post returned {}".format(request.status_code))
To see what the result looks like on your local system, add the
``Filename`` argument (``.html`` extension) and change to
diff --git a/docs/source/algorithms/SaveRKH-v1.rst b/docs/source/algorithms/SaveRKH-v1.rst
index ae8363f1c55e514eb7fdfb16b24722c82d2dbc63..30cb6726492170822fa491b4b5cd1885b91ebbf9 100644
--- a/docs/source/algorithms/SaveRKH-v1.rst
+++ b/docs/source/algorithms/SaveRKH-v1.rst
@@ -38,7 +38,7 @@ Usage
SaveRKH(out_ws, file_path)
in_ws = LoadRKH(file_path)
- print "Contents of the file = " + str(in_ws.readY(0))
+ print("Contents of the file = " + str(in_ws.readY(0)))
.. testcleanup:: ExSimpleSavingRoundtrip
diff --git a/docs/source/algorithms/SaveSPE-v1.rst b/docs/source/algorithms/SaveSPE-v1.rst
index 7c3f253c58c7e6aaf0b81420019af492503f416f..7cd4c44a9a0ae37a9a82ceef75f42e37b5d65722 100644
--- a/docs/source/algorithms/SaveSPE-v1.rst
+++ b/docs/source/algorithms/SaveSPE-v1.rst
@@ -104,7 +104,7 @@ Usage
# perform the algorithm
SaveSPE(InputWorkspace=ws1,Filename=savefile)
- print "File Exists:", os.path.exists(savefile)
+ print("File Exists: {}".format(os.path.exists(savefile)))
.. testcleanup:: ExSPESimple
diff --git a/docs/source/algorithms/SaveTBL-v1.rst b/docs/source/algorithms/SaveTBL-v1.rst
index 1bdff632f67cdef310196f6de4ce37e6a24c3c8d..f17c7d9eb7038df9ca541be9c15b0955ea8f9174 100644
--- a/docs/source/algorithms/SaveTBL-v1.rst
+++ b/docs/source/algorithms/SaveTBL-v1.rst
@@ -80,7 +80,7 @@ Usage
# 13470,2.3,13463+13464,0.035,0.3,0.04,,0,
# 13462,2.3,13463+13464,0.035,0.3,0.04,,1,ProcessingInstruction="1:2"
# 13469,0.7,13463+13464,0.01,0.06,0.04,,1,
- print "File Exists:", os.path.exists(savefile)
+ print("File Exists: {}".format(os.path.exists(savefile)))
.. testcleanup:: ExTBLSimple
diff --git a/docs/source/algorithms/SaveVulcanGSS-v1.rst b/docs/source/algorithms/SaveVulcanGSS-v1.rst
index d526994de1b97531e5977b993ed418f1eed82bfa..15d8543cac271c8a34a427ccd555e6e76149940a 100644
--- a/docs/source/algorithms/SaveVulcanGSS-v1.rst
+++ b/docs/source/algorithms/SaveVulcanGSS-v1.rst
@@ -38,10 +38,10 @@ Usage
lines = gfile.readlines()
gfile.close()
- print "[GSAS File Start]"
- for i in xrange(11):
- print lines[i].rstrip()
- print "... ..."
+ print("[GSAS File Start]")
+ for i in range(11):
+ print(lines[i].rstrip())
+ print("... ...")
.. testcleanup:: ExSaveVulcanGSAS
diff --git a/docs/source/algorithms/SaveYDA-v1.rst b/docs/source/algorithms/SaveYDA-v1.rst
index 2fc34c37a903935cd63152a1f2280d549b320708..08b4eaf9f34517aeab9cb7bb68f5687cda265024 100644
--- a/docs/source/algorithms/SaveYDA-v1.rst
+++ b/docs/source/algorithms/SaveYDA-v1.rst
@@ -29,6 +29,7 @@ Usage
import os
import numpy as np
+ from sys import stdout
# create x and y data
dataX = np.arange(12).reshape(3, 4)
@@ -53,10 +54,9 @@ Usage
# save file
SaveYDA(ws, filename)
-
with open(filename,'r') as f:
for i in range(12):
- print f.readline(),
+ stdout.write(f.readline())
**Output:**
@@ -82,4 +82,4 @@ Usage
.. categories::
-.. sourcelink::
\ No newline at end of file
+.. sourcelink::
diff --git a/docs/source/algorithms/SaveZODS-v1.rst b/docs/source/algorithms/SaveZODS-v1.rst
index a25d17ca16f1667cbc0f5683bce57a85ec7c2e15..a8eae4a0181688ad77f8c175e4617be41fed8388 100644
--- a/docs/source/algorithms/SaveZODS-v1.rst
+++ b/docs/source/algorithms/SaveZODS-v1.rst
@@ -87,7 +87,7 @@ using :ref:`CreateMDWorkspace <algm-CreateMDWorkspace>`.
import os
savefile = os.path.join(config["defaultsave.directory"], "ZODS.h5")
SaveZODS(InputWorkspace=ws, FileName=savefile)
- print "File created:", os.path.exists(savefile)
+ print("File created: {}".format(os.path.exists(savefile)))
Output:
diff --git a/docs/source/algorithms/Scale-v1.rst b/docs/source/algorithms/Scale-v1.rst
index 3506b2d6e8c8bb68feda54f03e0a797caf5bbb0e..2e9d12029745e2979a56e4d32b7b949f14f2ea59 100644
--- a/docs/source/algorithms/Scale-v1.rst
+++ b/docs/source/algorithms/Scale-v1.rst
@@ -23,18 +23,18 @@ Usage
.. testcode:: ExOffsetScale
ws = CreateSampleWorkspace(BankPixelWidth=1)
- print "Every 10th bin value of " + ws.name()
- print ws.readY(0)[0:100:10]
+ print("Every 10th bin value of " + ws.name())
+ print(ws.readY(0)[0:100:10])
# Add 2 using scale
wsOffset = Scale(ws,2,"Add")
- print "Every 10th bin value of " + wsOffset.name()
- print wsOffset.readY(0)[0:100:10]
+ print("Every 10th bin value of " + wsOffset.name())
+ print(wsOffset.readY(0)[0:100:10])
# Add 2 using the workspace operator overloads
wsOffset2 = ws + 2
- print "Every 10th bin value of " + wsOffset2.name()
- print wsOffset2.readY(0)[0:100:10]
+ print("Every 10th bin value of " + wsOffset2.name())
+ print(wsOffset2.readY(0)[0:100:10])
Output:
@@ -52,18 +52,18 @@ Output:
.. testcode:: ExOffsetScale
ws = CreateSampleWorkspace(BankPixelWidth=1)
- print "Every 10th bin value of " + ws.name()
- print ws.readY(0)[0:100:10]
+ print("Every 10th bin value of " + ws.name())
+ print(ws.readY(0)[0:100:10])
# Multiply by 10 using scale
wsScaled = Scale(ws,10,"Multiply")
- print "Every 10th bin value of " + wsScaled.name()
- print wsScaled.readY(0)[0:100:10]
+ print("Every 10th bin value of " + wsScaled.name())
+ print(wsScaled.readY(0)[0:100:10])
# Multiply by 10 using the workspace operator overloads
wsScaled2 = ws * 10
- print "Every 10th bin value of " + wsScaled2.name()
- print wsScaled2.readY(0)[0:100:10]
+ print("Every 10th bin value of " + wsScaled2.name())
+ print(wsScaled2.readY(0)[0:100:10])
Output:
diff --git a/docs/source/algorithms/ScaleX-v1.rst b/docs/source/algorithms/ScaleX-v1.rst
index 26ed1ca5760c8ec2e4835c6de086d62057a956c1..443e864f69d7fd363d1359d3ad42d90ca915adbd 100644
--- a/docs/source/algorithms/ScaleX-v1.rst
+++ b/docs/source/algorithms/ScaleX-v1.rst
@@ -36,12 +36,12 @@ Usage
# Center the Gaussian by shifting the X-axis, then find its average
ws2 = ScaleX(ws, Factor=-mean, Operation='Add')
- print 'mean=%.2f'%abs(np.sum( ws2.dataX(0) *ws2.dataY(0) ) / np.sum( ws2.dataY(0) ))
+ print('mean={:.2f}'.format(abs(np.sum( ws2.dataX(0) *ws2.dataY(0) ) / np.sum( ws2.dataY(0) ))))
# Decrease the standard deviation of the Gaussian by half via shrinkage of the X-axis,
# then find its standard deviation
ws3 = ScaleX(ws2, Factor=0.5, Operation='Multiply')
- print 'sigma=%.2f'%np.sqrt( np.sum( ws3.dataX(0)**2 *ws3.dataY(0) ) / np.sum( ws3.dataY(0) ) )
+ print('sigma={:.2f}'.format(np.sqrt( np.sum( ws3.dataX(0)**2 *ws3.dataY(0) ) / np.sum( ws3.dataY(0) ) )))
Output: