seg1d.algorithm.resample

seg1d.algorithm.resample(x, s)

Interpolation

Apply a cubic interpolation on an n x m dataset that is resampled to the number of samples

Parameters:

xn x m array

n-number of datasets with length m

sint

number of samples to interpolate x

Returns:

n x s array

interpolated dataset

See also

cluster

(input for this function)

resample

(takes in the return of this function)

Examples

>>> import numpy as np
>>> import seg1d.algorithm as alg

>>> x = np.sin( np.linspace(-3, 3, 10) )
>>> alg.resample(x,6)
array([[-0.14112001, -0.97319156, -0.56423116,  0.56423116,  0.97319156,
         0.14112001]])
>>> x = np.array([x,x**2])
>>> alg.resample(x,6)
array([[-0.14112001, -0.97319156, -0.56423116,  0.56423116,  0.97319156,
         0.14112001],
       [ 0.01991486,  0.94687756,  0.31972116,  0.31972116,  0.94687756,
         0.01991486]])