electricpy.sampfft¶

electricpy.sampfft(data, dt, minfreq=60.0, complex=False)[source]¶

Sample Dataset FFT Evaluator.

Given a data array and the delta-t for the data array, evaluates the harmonic composition of the data.

Parameters:¶

data : numpy.ndarray¶

Numpy data array containing 1-D values.

dt : float¶

Time-difference (delta-t) between data samples.

minfreq : float, optional¶

Minimum frequency (in Hz) at which to evaluate FFT. default=60

complex : bool, optional¶

Control argument to force returned values into complex format.

Returns:¶

• DC (float) – The DC offset of the FFT result.

• A (list of float) – The real components from the FFT.

• B (list of float) – The imaginary components from the FFT.