Python | Numpy np.laggrid3d() method Last Updated : 29 Dec, 2019 Comments Improve Suggest changes Like Article Like Report np.laggrid3d() method is used to evaluate a 3-D Laguerre series on the Cartesian product of x, y and z. Syntax : np.laggrid3d(x, y, z, c) Parameters: x, y, z :[array_like]The three dimensional series is evaluated at the points in the Cartesian product of x, y and z. If x or y or z is a list or tuple, it is first converted to an ndarray, otherwise it is left unchanged and, if it isn’t an ndarray, it is treated as a scalar. c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high. Return : [ndarray] The values of the two dimensional Chebyshev series at points in the Cartesian product of x and y. Code #1 : Python3 # Python program explaining # numpy.laggrid3d() method # importing numpy as np import numpy as np from numpy.polynomial.laguerre import laggrid3d # Input laguerre series coefficients c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]]) # using np.laggrid3d() method ans = laggrid3d([7, 9], [8, 10], [5, 6], c) print(ans) Output: [[ -9521.5 -12198. ] [-19782.5 -25346. ]] Code #2 : Python3 # Python program explaining # numpy.laggrid3d() method # importing numpy as np import numpy as np from numpy.polynomial.laguerre import laggrid3d # Input laguerre series coefficients c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]]) # using np.laggrid3d() method ans = laggrid3d(7, 11, 12, c) print(ans) Output: 3275.5 Create Quiz Comment J jana_sayantan Follow 0 Improve J jana_sayantan Follow 0 Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Explore Python FundamentalsPython Introduction 2 min read Input and Output in Python 4 min read Python Variables 4 min read Python Operators 4 min read Python Keywords 2 min read Python Data Types 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 5 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 3 min read Python MySQL 9 min read Python Packages 10 min read Python Modules 3 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 4 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 3 min read StatsModel Library - Tutorial 3 min read Learning Model Building in Scikit-learn 6 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 6 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 5 min read Build a REST API using Flask - Python 3 min read Building a Simple API with Django REST Framework 3 min read Python PracticePython Quiz 1 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like