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Table of Contents
Name | Direction | Type | Default | Description |
---|---|---|---|---|
InputWorkspace | Input | TableWorkspace | Mandatory | Input table workspace. |
ColumnIndices | Input | long list | Comma separated list of column indices for which statistics will be separated | |
OutputWorkspace | Output | TableWorkspace | Mandatory | Output workspace containing column statistics. |
Calculates mean, median, maximum, minimum and standard deviation for each numerical column of a table workspace.
Example - Getting statistics of a table workspace.
ws = CreateEmptyTableWorkspace()
ws.addColumn('int', 'a')
ws.addColumn('float', 'b')
ws.addRow([1, 3.2])
ws.addRow([2, 3.4])
ws.addRow([3, 3.6])
ws.addRow([4, 3.8])
stats = StatisticsOfTableWorkspace(ws)
for idx in range(stats.rowCount()):
stat_name = stats.column('Statistic')[idx]
stat_value = stats.column('a')[idx]
print('%s of column \'a\' is %.3f' % (stat_name, stat_value))
Output:
StandardDev of column 'a' is 1.118
Minimum of column 'a' is 1.000
Median of column 'a' is 2.500
Maximum of column 'a' is 4.000
Mean of column 'a' is 2.500
Categories: AlgorithmIndex | Utility\Workspaces
Python: StatisticsOfTableWorkspace.py (last modified: 2020-03-27)