mindspore.dataset.transforms.c_transforms.Slice
- class mindspore.dataset.transforms.c_transforms.Slice(*slices)[source]
Slice operation to extract a tensor out using the given n slices.
The functionality of Slice is similar to NumPy’s indexing feature (Currently only rank-1 tensors are supported).
- Parameters
slices (Union[int, list[int], slice, None, Ellipsis]) –
Maximum n number of arguments to slice a tensor of rank n . One object in slices can be one of:
int
: Slice this index only along the first dimension. Negative index is supported.list(int)
: Slice these indices along the first dimension. Negative indices are supported.slice
: Slice the generated indices from the slice object along the first dimension. Similar to start:stop:step.None
: Slice the whole dimension. Similar to[:]
in Python indexing.Ellipsis
: Slice the whole dimension, same result with None.
- Raises
TypeError – If slices is not of type int, list[int],
slice
,None
orEllipsis
.
- Supported Platforms:
CPU
Examples
>>> # Data before >>> # | col | >>> # +---------+ >>> # | [1,2,3] | >>> # +---------| >>> data = [[1, 2, 3]] >>> numpy_slices_dataset = ds.NumpySlicesDataset(data, ["col"]) >>> # slice indices 1 and 2 only >>> numpy_slices_dataset = numpy_slices_dataset.map(operations=c_transforms.Slice(slice(1,3))) >>> # Data after >>> # | col | >>> # +---------+ >>> # | [2,3] | >>> # +---------|