`spkit`.fill_nans_1d¶

spkit.fill_nans_1d(x, pkind='linear')¶

Fill nan values with interpolation/exterpolation for 1D

Fill nan values with interpolation/exterpolation for 1D

Parameters:

x1d array,

pkindkind of interpolation, default=’linear

one of {‘linear’, ‘nearest’, ‘nearest-up’, ‘zero’, ‘slinear’, ‘quadratic’, ‘cubic’, ‘previous’, or ‘next’. ‘zero’}

Returns:

y1d array resulting array with interpolated values instead of nans: same shape-size as x

See also

Examples

>>> import numpy as np
>>> import spkit as sp
>>> x = np.array([1,1,np.nan, 3,4,9,3, np.nan])
>>> y = sp.fill_nans_1d(x)
>>> y

array([ 1., 1., 2., 3., 4., 9., 3., -3.])

Examples using `spkit.fill_nans_1d`¶