find_gc_boundaries

find_gc_boundaries#

patato.utils.time_series_analysis.find_gc_boundaries(mask, data_so2, window=10, display=False, sigma=2, skip_start=0, sign=1)[source]#

Find the runs in the time series at which the breathing gas of the animal was changed.

Parameters:

  • mask (array_like) – A boolean array which can be applied to the time series.

  • data_so2 (SingleParameterData) – The time series of the SO2 data.

  • window (int, optional) – The window size to use for the convolution.

  • display (bool, optional) – Whether to display the results.

  • sigma (float, optional) – The sigma to use for the convolution.

  • skip_start (int, optional) – The number of runs to skip at the start of the time series.

  • sign (int, optional) – The sign of the change in the time series.

Returns:

List of integers with the indices of the detected gas changes.

Return type:

list

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