mindspore.dataset.text.SlidingWindow

class mindspore.dataset.text.SlidingWindow(width, axis=0)[source]

Construct a tensor from given data (only support 1-D for now), where each element in the dimension axis is a slice of data starting at the corresponding position, with a specified width.

Parameters

width (int) – The width of the window. It must be an integer and greater than zero.
axis (int, optional) – The axis along which the sliding window is computed. Default: 0.

Raises

TypeError – If width is not of type int.
ValueError – If value of width is not positive.
TypeError – If axis is not of type int.

Supported Platforms:: CPU

Examples

>>> import mindspore.dataset as ds
>>> import mindspore.dataset.text as text
>>>
>>> dataset = ds.NumpySlicesDataset(data=[[1, 2, 3, 4, 5]], column_names="col1")
>>> # Data before
>>> # |     col1     |
>>> # +--------------+
>>> # | [[1, 2, 3, 4, 5]] |
>>> # +--------------+
>>> dataset = dataset.map(operations=text.SlidingWindow(3, 0))
>>> # Data after
>>> # |     col1     |
>>> # +--------------+
>>> # |  [[1, 2, 3], |
>>> # |   [2, 3, 4], |
>>> # |   [3, 4, 5]] |
>>> # +--------------+

Tutorial Examples:

Illustration of text transforms