wonambi.trans.analyze module

Analysis and export convenience functions.

wonambi.trans.analyze.event_params(segments, params, band=None, n_fft=None, slopes=None, prep=None, parent=None)[source]

Compute event parameters.

Parameters:

  • segments (instance of wonambi.trans.select.Segments) – list of segments, with time series and metadata

  • params (dict of bool, or str) – ‘dur’, ‘minamp’, ‘maxamp’, ‘ptp’, ‘rms’, ‘power’, ‘peakf’, ‘energy’, ‘peakef’. If ‘all’, a dict will be created with these keys and all values as True, so that all parameters are returned.

  • band (tuple of float) – band of interest for power and energy

  • n_fft (int) – length of FFT. if shorter than input signal, signal is truncated; if longer, signal is zero-padded to length

  • slopes (dict of bool) – ‘avg_slope’, ‘max_slope’, ‘prep’, ‘invert’

  • prep (dict of bool) – same keys as params. if True, segment[‘trans_data’] will be used as dat

  • parent (QMainWindow) – for use with GUI only

Returns:

list of dict – list of segments, with time series, metadata and parameters

wonambi.trans.analyze.export_event_params(filename, params, count=None, density=None)[source]

Write event analysis data to CSV.

wonambi.trans.analyze.export_freq(xfreq, filename, desc=None)[source]

Write frequency analysis data to CSV.

Parameters:

  • xfreq (list of dict) – spectral data, one dict per segment, where ‘data’ is ChanFreq

  • filename (str) – output filename

  • desc (dict of ndarray) – descriptives

  • ' –

wonambi.trans.analyze.export_freq_band(xfreq, bands, filename)[source]

Write frequency analysis data to CSV by pre-defined band.