skdh.features.StdDev#

class skdh.features.StdDev#

The signal standard deviation

Methods

compute(signal, *[, axis])

Compute the standard deviation

Examples

>>> import numpy as np
>>> signal = np.arange(15).reshape((5, 3))
>>> StdDev().compute(signal)
array([[4.74341649, 4.74341649, 4.74341649]])

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

Compute the standard deviation

Parameters:

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

Returns: