Python | Numpy np.laggauss() method Last Updated : 29 Dec, 2019 Comments Improve Suggest changes Like Article Like Report np.laggauss() Computes the sample points and weights for Gauss-Laguerre quadrature. These sample points and weights will correctly integrate polynomials of degree 2*deg - 1 or less over the interval [0, inf] with the weight function f(x) = exp(-x) Syntax : np.laggauss(deg) Parameters: deg :[int] Number of sample points and weights. It must be >= 1. Return : 1.[ndarray] 1-D ndarray containing the sample points. 2.[ndarray] 1-D ndarray containing the weights. Code #1 : Python3 # Python program explaining # numpy.laggauss() method # importing numpy as np # and numpy.polynomial.laguerre module as geek import numpy as np import numpy.polynomial.laguerre as geek # Input degree = 2 degree = 2 # using np.laggauss() method res = geek.laggauss(degree) # Resulting array of sample point and weight print (res) Output: (array([ 0.58578644, 3.41421356]), array([ 0.85355339, 0.14644661])) Code #2 : Python3 # Python program explaining # numpy.laggauss() method # importing numpy as np # and numpy.polynomial.laguerre module as geek import numpy as np import numpy.polynomial.laguerre as geek # Input degree degree = 3 # using np.laggauss() method res = geek.laggauss(degree) # Resulting array of sample point and weight print (res) Output: (array([ 0.41577456, 2.29428036, 6.28994508]), array([ 0.71109301, 0.27851773, 0.01038926])) 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