SciPy Spectrogram

The signal processing toolbox consists of few filtering functions, a limited set of filter design tools. It also contains few B-spline interpolation algorithm for one-and two-dimensional data.

The scipy.signal.spectrogram computes a spectrogram with the consecutive Fourier transforms. Spectrograms can be used as a way of reflecting the change of frequency content of non-signal signals over time.

Output:

The scipy.signal.spectogram() returns the following array:

f: ndarray

Array of sample frequencies.

t: ndarray

Array of segment times.

Sxx: ndarry

Spectogram of x. By default the last axis of Sxx corresponds to the segment times