watex.utils.interpolate2d#

watex.utils.interpolate2d(arr2d, method='slinear', **kws)[source]#

Interpolate the data in 2D dimensional array.

If the data contains some missing values. It should be replaced by the interpolated values.

Parameters

arr2d (np.ndarray, shape (N, M)) – 2D dimensional data
method (str, default linear) – Interpolation technique to use. Can be nearest``or ``pad.
kws (dict) – Additional keywords. Refer to interpolate1d().

Returns

arr2d – 2D dimensional data interpolated

Return type

np.ndarray, shape (N, M)

Examples

>>> from watex.methods.em import EM
>>> from watex.utils.exmath import interpolate2d
>>> # make 2d matrix of frequency
>>> emObj = EM().fit(r'data/edis')
>>> freq2d = emObj.make2d (out = 'freq')
>>> freq2d_i = interpolate2d(freq2d )
>>> freq2d.shape
...(55, 3)
>>> freq2d
... array([[7.00000e+04, 7.00000e+04, 7.00000e+04],
       [5.88000e+04, 5.88000e+04, 5.88000e+04],
       ...
        [6.87500e+00, 6.87500e+00, 6.87500e+00],
        [        nan,         nan, 5.62500e+00]])
>>> freq2d_i
... array([[7.000000e+04, 7.000000e+04, 7.000000e+04],
       [5.880000e+04, 5.880000e+04, 5.880000e+04],
       ...
       [6.875000e+00, 6.875000e+00, 6.875000e+00],
       [5.625000e+00, 5.625000e+00, 5.625000e+00]])

References

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.interpolate.html https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.interpolate.interp2d.html