pygwb.spectral.running_mean

pygwb.spectral.running_mean(data, coarsening_factor=1, axis=-1)

Compute the running mean of an array, this uses the default axis of numpy cumsum.

Parameters:

• data (array-like) – Array of size M to be averaged.

• coarsening_factor (int, optional) – Number of segments to average, default=1.

• axis (int, optional) – Axis to apply the mean over, default=-1.

Returns:

running_mean_array: array-like

The averaged array of size M - coarsening factor.

See also

numpy.cumsum

More information here.