make_example_2d_numpy_series¶

make_example_2d_numpy_series(n_timepoints: int = 12, n_channels: int = 1, random_state: int | None = None, axis: int = 1) → ndarray[source]¶

Randomly generate 2D numpy X.

Generates data in 2D ‘np.ndarray’ format.

Parameters:

n_timepointsint, default=12: The number of features/series length to generate.
n_channelsint, default=1: The number of series channels to generate.
random_stateint or None, default=None: Seed for random number generation.
axisint, default=1: The axis to for the series timepoints. If 1, returns the shape (n_channels, n_timepoints). If 0, returns the shape (n_timepoints, n_channels).

Returns:

Xnp.ndarray: Randomly generated 2D data.

Examples

>>> from aeon.testing.data_generation import make_example_2d_numpy_series
>>> data = make_example_2d_numpy_series(
...     n_timepoints=6,
...     n_channels=2,
...     random_state=0,
...     axis=0,
... )
>>> print(data)
[[0.5488135  0.71518937]
 [0.60276338 0.54488318]
 [0.4236548  0.64589411]
 [0.43758721 0.891773  ]
 [0.96366276 0.38344152]
 [0.79172504 0.52889492]]