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NumPy Essentials

You're reading from  NumPy Essentials

Product type Book
Published in Apr 2016
Publisher
ISBN-13 9781784393670
Pages 156 pages
Edition 1st Edition
Languages
Authors (3):
Leo (Liang-Huan) Chin Leo (Liang-Huan) Chin
Profile icon Leo (Liang-Huan) Chin
Tanmay Dutta Tanmay Dutta
Profile icon Tanmay Dutta
Shane Holloway Shane Holloway
Profile icon Shane Holloway
View More author details

Table of Contents (16) Chapters

NumPy Essentials
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. An Introduction to NumPy 2. The NumPy ndarray Object 3. Using NumPy Arrays 4. NumPy Core and Libs Submodules 5. Linear Algebra in NumPy 6. Fourier Analysis in NumPy 7. Building and Distributing NumPy Code 8. Speeding Up NumPy with Cython 9. Introduction to the NumPy C-API 10. Further Reading

Creating an array squared function using NumPy C-API


In this section, we will create a function to square all the values of the NumPy Array. The aim here is to demonstrate how to get a NumPy Array in C and then iterate over it. In a real-world scenario, this can be done in an easier way using a map or by vectorizing a square function. We are using the same PyArg_ParseTuple function with the O! format string. This format string has a (object) [typeobject, PyObject *] signature and takes the Python type object as the first argument. Users should go through the official API doc to take a look at what other format strings are permissible and which one suits their needs:

Note

If the passed value does not have the same type, then a TypeError is raised.

The following code snippet explain how to parse the argument using PyArg_ParseTuple.

// Implementation of square of numpy array 
 
static PyObject* square_nparray_func(PyObject* self, PyObject* args) 
{ 
 
// variable declarations...
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