Description of the interpolate(scipy)

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Release date:2022/9/21　　　　　　　　　

・In Japanese

■Description
Performs linear interpolation of array data.

■Example
＜Case1＞
For 1-dimensional array

import numpy as np
from scipy import signal, interpolate

x = np.array([1,2,5]) # X-axis
y = np.array([10,1,5]) # Y-axis
func = interpolate.interp1d(x,y) # Definition of linear interpolation function

a = np.array([1.5,4]) # Input

print(func(a)) # Output

　#[5.5　3.66666667]

＜Case2＞
For 2-dimensional array

x = np.array([1,3,5]) # X-axis
y = np.array([10,20,30]) # Y-axis
z = np.array([[1,2,3],[4,5,6],[7,8,9]]) # Z-axis
func = interpolate.interp2d(x,y,z) # Definition of linear interpolation function

a = 4 # Input value for X-axis
b = 15 # Input value for Y-axis

print(func(a,b)) # Output

　#[4. ]

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