# Evaluate a 3D Laguerre series at points (x,y,z) with 4D array of coefficient using NumPy in Python

A 3D Laguerre series can be evaluated using NumPy in Python by following these steps:

• Import the necessary libraries:
``````import numpy as np
from scipy.special import genlaguerre
``````
• Define the 3D Laguerre series function:
``````def laguerre_3d(x, y, z, coeffs):
n, m, l = coeffs.shape
result = np.zeros_like(x)
for i in range(n):
for j in range(m):
for k in range(l):
result += coeffs[i, j, k] * genlaguerre(i, 0)(x) * genlaguerre(j, 0)(y) * genlaguerre(k, 0)(z)
return result
``````

This function takes in the points (x, y, z) and the 4D array of coefficients (coeffs) and returns the evaluated Laguerre series.

• Define the points at which to evaluate the Laguerre series:
``````x = np.linspace(0, 1, 10)
y = np.linspace(0, 1, 10)
z = np.linspace(0, 1, 10)
xx, yy, zz = np.meshgrid(x, y, z, indexing='ij')
``````

Here, we create a meshgrid of points using NumPy's `meshgrid` function.

• Define the coefficients of the Laguerre series:
``````coeffs = np.random.rand(5, 5, 5)
``````

Here, we create a 4D array of random coefficients.

• Evaluate the Laguerre series at the points:
``````result = laguerre_3d(xx, yy, zz, coeffs)
``````

Here, we call the `laguerre_3d` function with the meshgrid of points and the coefficients.

• Visualize the result:
``````import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

fig = plt.figure()
ax.scatter(xx, yy, zz, c=result)
plt.show()
``````

Here, we create a 3D scatter plot of the points with the color of each point determined by the evaluated Laguerre series.

Alternative method:

Another way to evaluate a 3D Laguerre series using NumPy is to use the `numpy.polynomial.laguerre.Laguerre` class. Here's an example:

``````from numpy.polynomial.laguerre import Laguerre

def laguerre_3d(x, y, z, coeffs):
n, m, l = coeffs.shape
result = np.zeros_like(x)
for i in range(n):
for j in range(m):
for k in range(l):
result += coeffs[i, j, k] * Laguerre.basis(i)(x) * Laguerre.basis(j)(y) * Laguerre.basis(k)(z)
return result
``````

Here, we use the `Laguerre.basis` method to generate the Laguerre polynomials and evaluate the series. The rest of the code is the same as the previous method. 