seg1d.processing.Features.match_len

static Features.match_len(dataset)

interpolate to the maximum sized data in the reference set

Parameters:

datasetList[Dict{feature:val}]

list of multiple datasets containing dictionary of 1d features that will be matched to same length

Returns:

interp_dList[Dict{feature:val}]

feature length-matched data

Notes

Requires all features within each dataset to be of same length

Examples

>>> import numpy as np
>>> import seg1d.processing as process
>>> s20 = np.linspace(-np.pi*2, np.pi*2, 20) 
>>> s30 = np.linspace(-np.pi*2, np.pi*2, 30)
>>> s40 = np.linspace(-np.pi*2, np.pi*2, 40) 
>>> s_longest = np.sin(s40)
>>> a1 = {'s':np.sin(s20), 'c':np.cos(s20)}
>>> a2 = {'s':np.sin(s30), 'c':np.cos(s30)}
>>> a3 = {'s':s_longest, 'c':np.cos(s40)}
>>> d = [a1, a2, a3]
>>> r = process.Features.match_len(d)
>>> print(len(r[0]['s']) == len(s_longest))
True