python-scipyHow do I use the Python SciPy library to interpolate a 1D array?

The Python SciPy library provides a number of functions for interpolating 1D arrays. The most commonly used function is interp1d. This function takes three arguments: an array of x-values, an array of y-values, and the type of interpolation to use. It returns a callable object which can then be used to interpolate values.

For example, to interpolate the array [1,2,3,4,5] using linear interpolation:

from scipy.interpolate import interp1d

x = [1,2,3,4,5]
y = [2,3,4,5,6]

f = interp1d(x, y, 'linear')

# Interpolate at x = 3.5
f(3.5)

# Output: 4.5

The output of the code above is 4.5.

Code explanation

• from scipy.interpolate import interp1d: imports the interp1d function from the SciPy library.
• x = [1,2,3,4,5]: creates an array of x-values.
• y = [2,3,4,5,6]: creates an array of y-values.
• f = interp1d(x, y, 'linear'): creates a callable object f which can be used to interpolate values. The interp1d function takes three arguments: an array of x-values, an array of y-values, and the type of interpolation to use.
• f(3.5): interpolates the array at x = 3.5.

Helpful links

• SciPy Interpolation Overview
• SciPy Interpolation Functions

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