interpolation 1d data list, ex) [1, 2, 3, 4] -> [1. , 1.5, 2. , 2.5, 3. , 3.5, 4. ]

 

expand and interpolation n by m data to n x (m+l) 

.

    data = np.array( [[1, 2, 3, 4], [4, 3, 2, 1]] )

data_len = 7

x = np.linspace(0, 1, data.shape[-1])

x2 = np.linspace(0, 1, data_len)

f = interp1d(x, data)

data = f(x2)

..

import below lib.

Thank you!!

from scipy.interpolate import interp1d

.

this is output:

array([[1. , 1.5, 2. , 2.5, 3. , 3.5, 4. ],

                 [4. , 3.5, 3. , 2.5, 2. , 1.5, 1. ]])