skdh.features.Mean#

class skdh.features.Mean#

The signal mean.

Methods

compute(signal, *[, axis])

Compute the mean.

Examples

>>> import numpy as np
>>> signal = np.arange(15).reshape((5, 3))
>>> mn = Mean()
>>> mn.compute(signal)
array([6., 7., 8.])

compute(signal, *, axis=-1)#

Compute the mean.

Parameters:

signalarray-like: Array-like containing values to compute the mean for.
axisint, optional: Axis along which the signal entropy will be computed. Ignored if signal is a pandas.DataFrame. Default is last (-1).

Returns: