larvaworld.lib.util.nan_interpolation

Methods for managing nans in timeseries data

Functions

interpolate_nans(y)
parse_array_at_nans(a)
apply_sos_filter_to_array_with_nans(sos, x[, padlen])
apply_filter_to_array_with_nans_multidim(a, freq, fr)	Power-spectrum of signal.
convex_hull([xs, ys, N, interp_nans])

Module Contents

larvaworld.lib.util.nan_interpolation.interpolate_nans(y)

larvaworld.lib.util.nan_interpolation.parse_array_at_nans(a)

larvaworld.lib.util.nan_interpolation.apply_sos_filter_to_array_with_nans(sos, x, padlen: int = 6)

larvaworld.lib.util.nan_interpolation.apply_filter_to_array_with_nans_multidim(a, freq: float, fr: float, N: int = 1)

Power-spectrum of signal.

Compute the power spectrum of a signal and its dominant frequency within some range.

Parameters

aarray

1D,2D or 3D Array : the array of timeseries to be filtered

freqfloat

The cut-off frequency to set for the butter filter

frfloat

The framerate of the dataset

N: int

order of the butter filter

Returns

yfarray

Filtered array of same shape as a

larvaworld.lib.util.nan_interpolation.convex_hull(xs=None, ys=None, N=None, interp_nans: bool = True)