tensorstore_demo.IndexDomain.__getitem__(
    
selfexpr: DimExpression-> IndexDomain

Transforms the domain by a dimension expression.

Parameters:
expr: DimExpression

Dimension expression to apply.

Examples

>>> domain = ts.IndexDomain(inclusive_min=[1, 2, 3],
...                         exclusive_max=[6, 7, 8],
...                         labels=['x', 'y', 'z'])
>>> domain[ts.d[:].translate_by[5]]
{ "x": [6, 11), "y": [7, 12), "z": [8, 13) }
>>> domain[ts.d['y'][3:5]]
{ "x": [1, 6), "y": [3, 5), "z": [3, 8) }
>>> domain[ts.d['z'][5]]
{ "x": [1, 6), "y": [2, 7) }

Note

For the purpose of applying a dimension expression, an IndexDomain behaves like an IndexTransform with an output rank of 0. Consequently, operations that primarily affect the output index mappings, like integer array indexing, are not very useful, though they are still permitted.

>>> domain = ts.IndexDomain(inclusive_min=[1, 2, 3],
...                         exclusive_max=[6, 7, 8],
...                         labels=['x', 'y', 'z'])
>>> domain[ts.d['z'][[3, 5, 7]]]
{ "x": [1, 6), "y": [2, 7), [0, 3) }

Last update: Dec 16, 2024