def action_copy_spectrum_to_table(self, table):
selected_rows = [i.row() for i in table.selectionModel().selectedRows()]
if not selected_rows:
self.notify_no_selection_to_copy()
return
ws = table.model().ws
table_ws = CreateEmptyTableWorkspace(OutputWorkspace=ws.name() + "_spectra")
num_rows = ws.blocksize()
table_ws.setRowCount(num_rows)
for i, row in enumerate(selected_rows):
table_ws.addColumn("double", "XS" + str(row))
table_ws.addColumn("double", "YS" + str(row))
table_ws.addColumn("double", "ES" + str(row))
col_x = 3 * i
col_y = 3 * i + 1
col_e = 3 * i + 2
data_y = ws.readY(row)
data_x = ws.readX(row)
data_e = ws.readE(row)
for j in range(num_rows):
table_ws.setCell(j, col_x, data_x[j])
table_ws.setCell(j, col_y, data_y[j])
table_ws.setCell(j, col_e, data_e[j])
def _createDiagnosticsReportTable(reportWSName, numberHistograms, algorithmLogging):
"""Return a table workspace for detector diagnostics reporting."""
if mtd.doesExist(reportWSName):
reportWS = mtd[reportWSName]
else:
reportWS = CreateEmptyTableWorkspace(OutputWorkspace=reportWSName,
EnableLogging=algorithmLogging)
existingColumnNames = reportWS.getColumnNames()
if 'WorkspaceIndex' not in existingColumnNames:
reportWS.addColumn('int', 'WorkspaceIndex', _PLOT_TYPE_X)
reportWS.setRowCount(numberHistograms)
for i in range(numberHistograms):
reportWS.setCell('WorkspaceIndex', i, i)
return reportWS
def _createDiagnosticsReportTable(reportWSName, numberHistograms, algorithmLogging):
"""Return a table workspace for detector diagnostics reporting."""
if mtd.doesExist(reportWSName):
reportWS = mtd[reportWSName]
else:
reportWS = CreateEmptyTableWorkspace(OutputWorkspace=reportWSName,
EnableLogging=algorithmLogging)
existingColumnNames = reportWS.getColumnNames()
if 'WorkspaceIndex' not in existingColumnNames:
reportWS.addColumn('int', 'WorkspaceIndex', _PLOT_TYPE_X)
reportWS.setRowCount(numberHistograms)
for i in range(numberHistograms):
reportWS.setCell('WorkspaceIndex', i, i)
return reportWS
def action_copy_bin_to_table(self, table):
selected_cols = [i.column() for i in table.selectionModel().selectedColumns()]
if not selected_cols:
self.notify_no_selection_to_copy()
return
ws = table.model().ws
table_ws = CreateEmptyTableWorkspace(OutputWorkspace=ws.name() + "_bins")
num_rows = ws.getNumberHistograms()
table_ws.setRowCount(num_rows)
table_ws.addColumn("double", "X")
for i, col in enumerate(selected_cols):
table_ws.addColumn("double", "YB" + str(col))
table_ws.addColumn("double", "YE" + str(col))
col_y = 2 * i + 1
col_e = 2 * i + 2
for j in range(num_rows):
data_y = ws.readY(j)
data_e = ws.readE(j)
if i == 0:
if ws.axes() > 1:
table_ws.setCell(j, 0, ws.getAxis(1).getValue(j))
else:
table_ws.setCell(j, 0, j)
table_ws.setCell(j, col_y, data_y[col])
table_ws.setCell(j, col_e, data_e[col])