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QueryMDWorkspace v1¶

Summary ¶

Query the IMDWorkspace in order to extract summary information.

Properties ¶

Name	Direction	Type	Default	Description
InputWorkspace	Input	IMDWorkspace	Mandatory	An input MDWorkspace.
OutputWorkspace	Output	TableWorkspace	Mandatory	The output Tableworkspace with columns containing key summary information about the MDWorkspace.
LimitRows	Input	boolean	True	Limit the report output to a maximum number of rows
MaximumRows	Input	number	100000	The number of neighbours to utilise. Defaults to 100000.
Normalisation	Input	string	none	What normalisation do you wish to apply none: No normalisation. volume: Normalise by the volume. number of events: Normalise by the number of events. Allowed values: [‘none’, ‘volume’, ‘number of events’]
TransformCoordsToOriginal	Input	boolean	True	Output box coordinates in terms of original workspace coordinates
BoxDataTable	Output	TableWorkspace		Optional output data table with MDEventWorkspace-specific box data.

Description ¶

This algorithm outputs a table workspace containing summary data about each box within an IMDWorkspace. The table workspace can be used as a basis for plotting.

Format ¶

Column 1: Signal (double)
Column 2: Error (double)
Column 3: Number of Events (integer)
Column 4: Coords of box center (string)

Usage ¶

Example - query MD workspace and look at the result:

# create sample inelastic workspace for MARI instrument containing 1 at all spectra
ws1 = CreateSimulationWorkspace(Instrument='MAR', BinParams='-10,1,10', UnitX='DeltaE')
AddSampleLog(ws1, 'Ei', '12.', 'Number')
ws2 = ws1 * 2;
# Convert to MD
mdWs1 = ConvertToMD(InputWorkspace=ws1, QDimensions='|Q|', QConversionScales='Q in A^-1', SplitInto='10,10', MaxRecursionDepth='1')

# get the query
table = QueryMDWorkspace(InputWorkspace=mdWs1)

# look at the output:
col_names = table.keys();
name0 = col_names[0];
nRows = len(table.column(name0));
print("Table contains {0} rows".format(nRows))
print("first 11 of them are:")
print("--------------------------------------------------------------------------------------------------------------")
print(' '.join('| {0:19}'.format(name) for name in col_names) + ' |')

print("--------------------------------------------------------------------------------------------------------------")
for i in range(0,11):
   print(' '.join('| {0:>19.4f}'.format(table.column(name)[i]) for name in col_names) + ' |')

Output:

Table contains 100 rows
first 11 of them are:
--------------------------------------------------------------------------------------------------------------
| Signal/none         | Error/none          | Number of Events    | |Q|/MomentumTransfer | DeltaE/DeltaE       |
--------------------------------------------------------------------------------------------------------------
|              0.0000 |              0.0000 |              0.0000 |              0.3982 |             -9.0000 |
|            338.0000 |              0.0000 |            338.0000 |              0.9065 |             -9.0000 |
|            164.0000 |              0.0000 |            164.0000 |              1.4149 |             -9.0000 |
|            164.0000 |              0.0000 |            164.0000 |              1.9233 |             -9.0000 |
|            153.0000 |              0.0000 |            153.0000 |              2.4317 |             -9.0000 |
|            162.0000 |              0.0000 |            162.0000 |              2.9401 |             -9.0000 |
|            171.0000 |              0.0000 |            171.0000 |              3.4485 |             -9.0000 |
|            195.0000 |              0.0000 |            195.0000 |              3.9568 |             -9.0000 |
|            231.0000 |              0.0000 |            231.0000 |              4.4652 |             -9.0000 |
|            258.0000 |              0.0000 |            258.0000 |              4.9736 |             -9.0000 |
|             28.0000 |              0.0000 |             28.0000 |              0.3982 |             -7.0000 |

Categories: AlgorithmIndex | MDAlgorithms\Utility\Workspace