prey_cap_metrics#

prey_capture_python.analysis.prey_cap_metrics.preycap_metrics(cricket_xy, cricket_p, range, mouse_spd, az, fr=200, oldmodel=False)#

function to calculate basic metrics of prey capture behavior decent first pass look at if there are differences between conditions

Parameters

  • cricket_xy (numpy.ndarray) – thresholded cricket xy coordinates

  • cricket_p (numpy.ndarray) – cricket likelihoods

  • range (numpy.ndarray) – distance between mouse and cricket

  • mouse_spd (numpy.ndarray) – mouse speed (not velocity)

  • az (numpy.ndarray) – angle between mouse’s head and cricket

  • fr (int) – framerate of videos, default=200

  • oldmodel (boolean) – flag to mark cricket likelihood is bad, default=False

Returns

time to capture the cricket –indication of start and end need to be changed latency (int): time to the first approach freqapproach (int): frequency of initiating approaches p_intercept (int): probability of intercepting given an approach p_capture (int): probability of capturing given intercepting

Return type

captureT (int)

prey_capture_python.analysis.prey_cap_metrics.relentless_positivity(df: pandas.core.frame.DataFrame, column: str, window: int = 20, threshold: float = 0.95, tolist: bool = True) → Union[List[List[int]], numpy.ndarray]#

Find ranges where column is above threshold for #window number of rows

Returns

List of Lists indicating the start and end of positive ranges