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SplittersWorkspace

This is a Python binding to the C++ class Mantid::DataObjects::SplittersWorkspace.

bases: mantid.dataobjects.TableWorkspace, mantid.api.ISplittersWorkspace

class mantid.dataobjects.SplittersWorkspace

addColumn((ITableWorkspace)self, (str)type, (str)name) → bool :

Add a named column with the given type. Recognized types are: int,float,double,bool,str,V3D,long64

addColumn( (ITableWorkspace)self, (str)type, (str)name, (int)plottype) -> bool :

Add a named column with the given datatype (int,float,double,bool,str,V3D,long64) and plottype (0 = None, 1 = X, 2 = Y, 3 = Z, 4 = xErr, 5 = yErr, 6 = Label).

addReadOnlyColumn((ITableWorkspace)self, (str)type, (str)name) → bool :

Add a read-only, named column with the given type. Recognized types are: int,float,double,bool,str,V3D,long64

addRow((ITableWorkspace)self, (object)row_items_seq) → None :

Appends a row with the values from the given sequence. It it assumed that the items are in the correct order for the defined columns.

addRow( (ITableWorkspace)self, (dict)row_items_dict) -> None :

Appends a row with the values from the dictionary.

cell((ITableWorkspace)self, (object)value, (int)row_or_column) → object :

Return the value in the given cell. If the value argument is a number then it is interpreted as a row otherwise it is interpreted as a column name.

clone(InputWorkspace)

Copies an existing workspace into a new one.

Property descriptions:

InputWorkspace(Input:req) Workspace Name of the input workspace. Must be a MatrixWorkspace (2D or EventWorkspace), a PeaksWorkspace or a MDEventWorkspace.

OutputWorkspace(Output:req) Workspace Name of the newly created cloned workspace.

column((ITableWorkspace)self, (object)column) → object :

Return all values of a specific column as a list.

columnCount((ITableWorkspace)self) → int :

Returns the number of columns in the workspace.

columnTypes((ITableWorkspace)self) → list :

Return the types of the columns as a list

convertUnits(InputWorkspace, Target, EMode=None, EFixed=None, AlignBins=None, ConvertFromPointData=None)

Performs a unit change on the X values of a workspace

Property descriptions:

InputWorkspace(Input:req) MatrixWorkspace Name of the input workspace

OutputWorkspace(Output:req) MatrixWorkspace Name of the output workspace, can be the same as the input

Target(Input:req) string The name of the units to convert to (must be one of those registered in the Unit Factory)[DeltaE, DeltaE_inFrequency, DeltaE_inWavenumber, dSpacing, dSpacingPerpendicular, Energy, Energy_inWavenumber, Momentum, MomentumTransfer, QSquared, SpinEchoLength, SpinEchoTime, TOF, Wavelength]

EMode(Input) string The energy mode (default: elastic)[Elastic, Direct, Indirect]

EFixed(Input) number Value of fixed energy in meV : EI (EMode=’Direct’) or EF (EMode=’Indirect’) . Must be set if the target unit requires it (e.g. DeltaE)

AlignBins(Input) boolean If true (default is false), rebins after conversion to ensure that all spectra in the output workspace have identical bin boundaries. This option is not recommended (see http://docs.mantidproject.org/algorithms/ConvertUnits).

ConvertFromPointData(Input) boolean When checked, if the Input Workspace contains Points the algorithm ConvertToHistogram will be run to convert the Points to Bins. The Output Workspace will contains Bins.

delete(Workspace)

Removes a workspace from memory.

Property descriptions:

Workspace(Input:req) Workspace Name of the workspace to delete.

getColumnNames((ITableWorkspace)self) → numpy.ndarray :

Return a list of the column names.

getComment((Workspace)self) → str :

Returns the comment field on the workspace

getHistory((Workspace)self) → WorkspaceHistory :

Return read-only access to the WorkspaceHistory

getLinkedYCol((ITableWorkspace)self, (object)column) → int :

Get the data column associated with a given error column.

getMemorySize((Workspace)self) → int :

Returns the memory footprint of the workspace in KB

getName((Workspace)self) → str :

Returns the name of the workspace. This could be an empty string

getNumberSplitters((ISplittersWorkspace)self) → int :

Returns the number of splitters within the workspace

getPlotType((ITableWorkspace)self, (object)column) → int :

Get the plot type of given column as an integer. Accepts column name or index. Possible return values: (0 = None, 1 = X, 2 = Y, 3 = Z, 4 = xErr, 5 = yErr, 6 = Label).

getTitle((Workspace)self) → str :

Returns the title of the workspace

id((DataItem)self) → str :

The string ID of the class

isColumnReadOnly((ITableWorkspace)self, (object)column) → bool :

Gets whether or not a given column of this workspace is be read-only. Columns can be selected by name or by index

isDirty((Workspace)self[, (int)n]) → bool :

True if the workspace has run more than n algorithms (Default=1)

isGroup((Workspace)self) → bool :

Returns if it is a group workspace

keys((ITableWorkspace)self) → numpy.ndarray :

Return a list of the column names.

maskDetectors(Workspace, SpectraList=None, DetectorList=None, WorkspaceIndexList=None, MaskedWorkspace=None, ForceInstrumentMasking=None, StartWorkspaceIndex=None, EndWorkspaceIndex=None, ComponentList=None)

An algorithm to mask a detector, or set of detectors, as not to be used. The workspace spectra associated with those detectors are zeroed.

Property descriptions:

Workspace(InOut:req) Workspace The name of the input and output workspace on which to perform the algorithm.

SpectraList(Input) int list A list of spectra to mask

DetectorList(Input) int list A list of detector ID’s to mask

WorkspaceIndexList(Input) unsigned int list A list of the workspace indices to mask

MaskedWorkspace(Input) MatrixWorkspace If given but not as a SpecialWorkspace2D, the masking from this workspace will be copied. If given as a SpecialWorkspace2D, the masking is read from its Y values.[]

ForceInstrumentMasking(Input) boolean Works when ‘MaskedWorkspace’ is provided and forces to use spectra-detector mapping even in case when number of spectra in ‘Workspace’ and ‘MaskedWorkspace’ are equal

StartWorkspaceIndex(Input) number If other masks fields are provided, it’s the first index of the target workspace to be allowed to be masked from by these masks, if not, its the first index of the target workspace to mask. Default value is 0 if other masking is present or ignored if not.

EndWorkspaceIndex(Input) number If other masks are provided, it’s the last index of the target workspace allowed to be masked to by these masks, if not, its the last index of the target workspace to mask. Default is number of histograms in target workspace if other masks are present or ignored if not.

ComponentList(Input) str list A list names of components to mask

name((DataItem)self) → str :

The name of the object

readLock((DataItem)self) → None :

Acquires a read lock on the data item.

removeColumn((ITableWorkspace)self, (str)name) → None :

Remove the named column.

row((ITableWorkspace)self, (int)row) → object :

Return all values of a specific row as a dict.

rowCount((ITableWorkspace)self) → int :

Returns the number of rows within the workspace.

setCell((ITableWorkspace)self, (object)row_or_column, (int)column_or_row, (object)value[, (bool)notify_replace=True]) → None :

Sets the value of a given cell. If the row_or_column argument is a number then it is interpreted as a row otherwise it is interpreted as a column name. If notify replace is false, then the replace workspace event is not triggered.

setColumnReadOnly((ITableWorkspace)self, (object)column, (bool)read_only) → None :

Sets whether or not a given column of this workspace should be read-only. Columns can be selected by name or by index

setComment((Workspace)self, (str)comment) → None :

Set the comment field of the workspace

setLinkedYCol((ITableWorkspace)self, (object)errColumn, (int)dataColumn) → None :

Set the data column associated with a given error column.

setPlotType((ITableWorkspace)self, (object)column, (int)ptype[, (int)linkedCol=-1]) → None :

Set the plot type of given column. Accepts column name or index. Possible type values: (0 = None, 1 = X, 2 = Y, 3 = Z, 4 = xErr, 5 = yErr, 6 = Label).

setRowCount((ITableWorkspace)self, (int)count) → None :

Resize the table to contain count rows.

setTitle((Workspace)self, (str)title) → None :

Set the title of the workspace

threadSafe((DataItem)self) → bool :

Returns true if the object can be accessed safely from multiple threads

toDict((ITableWorkspace)self) → dict :

Gets the values of this workspace as a dictionary. The keys of the dictionary will be the names of the columns of the table. The values of the entries will be lists of values for each column.

unlock((DataItem)self) → None :

Unlocks a read or write lock on the data item.