What is Interpolation in Scipy what is use of interp1d in Scipy explain

This recipe explains what is Interpolation in Scipy what is use of interp1d in Scipy explain

Recipe Objective - What is Interpolation in Scipy, what is use of interp1d() in Scipy explain?

What is Interpolation in Scipy:

Interpolation is the method of generating numbers or data between two different points or data.

For Example, We have given data 0 and 1, so interpolate might find points 0.56 and 0.78

In Data Science, We use interpolate method to fill up the missing values in the data. This method is called imputation.

Implementation:

SciPy provides a module called "scipy.interpolate" which has many function to deal with interpolation.

1D Interpolation:

SciPy provide function "scipy.interpolate.interp1d()" to interpolate a distribution with 1 variable.

Example: For given x and y interpolate values from 3.1, 3.2... to 3.9

from scipy.interpolate import interp1d
import numpy as np

x = np.arange(15)
y = 3*x + 1

interpol_func = interp1d(x, y)

new_arr = interpol_func(np.arange(3.1, 4, 0.1))

print(new_arr)

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