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SciPy Recipes

You're reading from   SciPy Recipes A cookbook with over 110 proven recipes for performing mathematical and scientific computations

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788291460
Length 386 pages
Edition 1st Edition
Languages
Tools
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Authors (3):
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V Kishore Ayyadevara V Kishore Ayyadevara
Author Profile Icon V Kishore Ayyadevara
V Kishore Ayyadevara
Ruben Oliva Ramos Ruben Oliva Ramos
Author Profile Icon Ruben Oliva Ramos
Ruben Oliva Ramos
Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting to Know the Tools FREE CHAPTER 2. Getting Started with NumPy 3. Using Matplotlib to Create Graphs 4. Data Wrangling with pandas 5. Matrices and Linear Algebra 6. Solving Equations and Optimization 7. Constants and Special Functions 8. Calculus, Interpolation, and Differential Equations 9. Statistics and Probability 10. Advanced Computations with SciPy

Querying and changing the shape of an array

Since we have learnt various ways to create an array, we can now definitely learn how to query and change the shape of an array.

How to do it...

The shape of an array is stored in the shape field of the ndarray object, as shown in the following example:

x = np.array([[1,2,3,4,5,6],[7,8,9,10,11,12]])
x.shape

The shape field of an ndarray object contains a tuple with the size of each of the dimensions of the array, so the preceding code will produce the following output:

(2, 6)

It is possible to assign a to the field shape, which has the effect of reshaping the array, as shown in the following example:

x.shape = (4,3)

This statement will change the array to the following:

array...
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