gastropy.apply_bandpass

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gastropy.apply_bandpass#

gastropy.apply_bandpass(data, sfreq, low_hz, high_hz, method='fir', **kwargs)[source]#

Apply a zero-phase bandpass filter to a signal.

Supports FIR (default) and IIR (Butterworth) implementations. FIR uses filtfilt with Gustafsson’s method for robust edge handling on long kernels.

Parameters:

  • data (array_like) – Input signal (1D array).

  • sfreq (float) – Sampling frequency in Hz.

  • low_hz (float) – Lower passband edge in Hz.

  • high_hz (float) – Upper passband edge in Hz.

  • method (str, optional) – Filter method: "fir" (default) or "iir".

  • **kwargs – Additional arguments passed to design_fir_bandpass when method="fir" (e.g., f_order, transition_width, window).

Returns:

  • filtered (np.ndarray) – Filtered signal (same length as input).

  • info (dict) – Filter metadata (method, number of taps, window, etc.).

Examples

>>> import numpy as np
>>> from gastropy.signal import apply_bandpass
>>> t = np.arange(0, 300, 0.1)
>>> sig = np.sin(2 * np.pi * 0.05 * t) + np.sin(2 * np.pi * 0.5 * t)
>>> filtered, info = apply_bandpass(sig, sfreq=10.0, low_hz=0.03, high_hz=0.07)
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