get_dimension

dtaianomaly.utils.get_dimension(X: ndarray) → int[source]

Get the dimension of the given time series.

Return the number of attributes in the given time series. This is either the size of the second dimension, or the 1 if the given array is one-dimensional.

Parameters:

Xarray-like of shape (n_samples, n_attributes): The time series data to get the dimension from.

Returns:

int: The number of attributes in the given time series.

Examples

>>> from dtaianomaly.utils import get_dimension
>>> get_dimension([1, 2, 3, 4, 5])
1
>>> get_dimension([[1], [2], [3], [4], [5]])
1
>>> get_dimension([[1, 10], [2, 20], [3, 30], [4, 40], [5, 50]])
2
>>> get_dimension([[1, 10, 100], [2, 20, 200], [3, 30, 300], [4, 40, 400], [5, 50, 500]])
3