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SavePlot1D v1

SavePlot1D dialog.

Summary

Save 1D plots to a file

See Also

SavePlot1DAsJson, StringToPng

Properties

Name	Direction	Type	Default	Description
InputWorkspace	Input	Workspace	Mandatory	Workspace to plot
OutputFilename	Input	string		Name of the image file to savefile. Allowed extensions: [‘.png’]
OutputType	Input	string	image	Method for rendering plot. Allowed values: [‘image’]
XLabel	Input	string		Label on the X axis. If empty, it will be taken from workspace
YLabel	Input	string		Label on the Y axis. If empty, it will be taken from workspace
SpectraList	Input	long list		Which spectra to plot
SpectraNames	Input	str list		Override with custom names for spectra
Result	Output	string
PopCanvas	Input	boolean	False	If true, a Matplotlib canvas will be popped out , which contains the saved plot.

Description

Save 1D plots to a png file, as part of autoreduction. Multiple spectra in the same workspace will be represented by curves on the same plot. Groupped workspaces will be shown as subplots. If the workspace has more than one spectra, but less or equal to ten, labels will be shown.

Note

The figures contain lines between points, no error bars.

Note

Requires matplotlib version>= 1.2.0

Usage

#create some workspaces
CreateWorkspace(OutputWorkspace='w1',DataX='1,2,3,4,5,1,2,3,4,5',DataY='1,4,5,3,2,2,3,1',DataE='1,2,2,1,1,1,1,1',NSpec='2',UnitX='DeltaE')
CreateWorkspace(OutputWorkspace='w2',DataX='1,2,3,4,5,1,2,3,4,5',DataY='4,2,5,3,3,1,3,1', DataE='1,2,2,1,1,1,1,1',NSpec='2',UnitX='Momentum',VerticalAxisUnit='Wavelength',VerticalAxisValues='2,3',YUnitLabel='Something')
wGroup=GroupWorkspaces("w1,w2")

#write to a file
try:
    import mantid
    filename=mantid.config.getString("defaultsave.directory")+"SavePlot1D.png"
    SavePlot1D(InputWorkspace=wGroup,OutputFilename=filename)
except:
    pass

Output:

The file should look like

Usage in autoreduction

# create some workspaces
CreateWorkspace(OutputWorkspace='w1',DataX='1,2,3,4,5,1,2,3,4,5',DataY='1,4,5,3,2,2,3,1',DataE='1,2,2,1,1,1,1,1',NSpec='2',UnitX='DeltaE')
# get the div html/javascript for the plot
div = SavePlot1D(InputWorkspace='w1', OutputType='plotly')
from postprocessing.publish_plot import publish_plot
request = publish_plot('TESTINSTRUMENT', 12345, files={'file':div})
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 OutputType='plotly-full'.

Categories: AlgorithmIndex | DataHandling\Plots

Source

Python: SavePlot1D.py