Python | Numpy np.polygrid3d() method Last Updated : 31 Dec, 2019 Comments Improve Suggest changes Like Article Like Report np.polygrid3d() method is used to evaluate a 3-D polynomial series on the Cartesian product of x, y and z. Syntax : np.polygrid3d(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] polynomial series coefficients. Return : [ndarray] The values of the two dimensional polynomial series at points in the Cartesian product of x and y. Code #1 : Python3 # Python program explaining # numpy.polygrid3d() method # importing numpy as np import numpy as np from numpy.polynomial.polynomial import polygrid3d # Input polynomial series coefficients c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]]) # using np.polygrid3d() method ans = polygrid3d([7, 9], [8, 10], [5, 6], c) print(ans) Output: [[ 416970. 491223.] [ 635850. 749079.]] Code #2 : Python3 # Python program explaining # numpy.polygrid3d() method # importing numpy as np import numpy as np from numpy.polynomial.polynomial import polygrid3d # Input polynomial series coefficients c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]]) # using np.polygrid3d() method ans = polygrid3d(7, 11, 12, c) print(ans) Output: 83610.0 Comment More info J jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Explore Python FundamentalsPython Introduction 3 min read Input and Output in Python 4 min read Python Variables 5 min read Python Operators 5 min read Python Keywords 2 min read Python Data Types 7 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 6 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 2 min read Python MySQL 9 min read Python Packages 12 min read Python Modules 7 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 6 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 15+ min read StatsModel Library- Tutorial 4 min read Learning Model Building in Scikit-learn 8 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 7 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 7 min read Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 3 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like