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TableWorkspace with Python

TableWorkspaces are a type of workspace designed to handle data other than particle count spectra. They contain a single array, rather than the 3 tables of X-value, Y-value and E-value characteristic of most workspaces and few algorithms manipulate. TableWorkspaces are analogous to sheets in Microsoft Excel. An example is the Fit v1 algorithm that saves the calculated fit parameters in this format.

Creating a TableWorkspace

The following script creates a TableWorkspace with 2 columns and one row.

table = CreateEmptyTableWorkspace()
table.addColumn("double", "x")
table.addColumn("double", "y")
table.addRow([1.0, 3.0])

Accessing Data in a TableWorkspace

There are various ways to access your data from the workspace.

# Returns a dictionary of values with column names as keys
print(table.row(0))
# Returns all the data in the table from the specified column as a list
print(table.column("y"))
# Returns just the entry at the specified row and column
print(table.cell(0,0))

PeaksWorkspace

A peaks workspace is a type of table workspace, with a fixed structure, where each row of the tale represents a peak. This functionality is also exposed to python, however, usage of this type is outside the scope of this course. See Peaks Workspace for more details.