NumPy Meshgrid 3D

  1. the NumPy.meshgrid() Function in Python
  2. Implement the NumPy.meshgrid() Function to Create a 3-Dimensional Meshgrid in Python

We can define a mesh grid in Python as a function capable of generating a rectangular grid when given two one-dimensional arrays. It is a useful function and is inspired by MATLAB.

In Python, the ability to create a mesh grid function comes with using the NumPy library. This tutorial discusses how to create a 3-dimensional mesh grid with the help of NumPy in Python.

the NumPy.meshgrid() Function in Python

The NumPy.meshgrid() function takes in the coordinate vectors and returns a coordinate matrix with their help.

However, this function does not just work for generating two-dimensional arrays. Due to the regular updates, the NumPy.meshgrid() function can now take in N one-dimensional arrays and delivers matrices of the size N-D.

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Implement the NumPy.meshgrid() Function to Create a 3-Dimensional Meshgrid in Python

The NumPy.meshgrid() function can directly be utilized after importing the NumPy library to the Python code.

The following code uses the NumPy.meshgrid() function to create a three-dimensional mesh grid in Python.

import numpy as np
xa = np.linspace(0., 1., 2)
ya = np.linspace(2., 2., 2)
za = np.linspace(3., 5., 2)
out = np.meshgrid(xa, ya, za)
print(out)

The above code provides the following output.

[array([[[0., 0.],
        [1., 1.]],

       [[0., 0.],
        [1., 1.]]]), array([[[2., 2.],
        [2., 2.]],

       [[2., 2.],
        [2., 2.]]]), array([[[3., 5.],
        [3., 5.]],

       [[3., 5.],
        [3., 5.]]])]
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