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Scientific Computing with Python - Second Edition

You're reading from  Scientific Computing with Python - Second Edition

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781838822323
Pages 392 pages
Edition 2nd Edition
Languages
Authors (3):
Claus Führer Claus Führer
Profile icon Claus Führer
Jan Erik Solem Jan Erik Solem
Olivier Verdier Olivier Verdier
View More author details

Table of Contents (23) Chapters

Preface Getting Started Variables and Basic Types Container Types Linear Algebra - Arrays Advanced Array Concepts Plotting Functions Classes Iterating Series and Dataframes - Working with Pandas Communication by a Graphical User Interface Error and Exception Handling Namespaces, Scopes, and Modules Input and Output Testing Symbolic Computations - SymPy Interacting with the Operating System Python for Parallel Computing Comprehensive Examples About Packt Other Books You May Enjoy References

4.6.3 Reshape

The method reshape gives a new view of the array, with a new shape, without copying the data:

v = array([0,1,2,3,4,5])
M = v.reshape(2,3)
shape(M) # returns (2,3)
M[0,0] = 10 # now v[0] is 10

The various effects of reshape on an array defined by arange(6) are given in Figure 4.2:

Figure 4.2: The various effects of reshape on an array

reshape does not create a new array. It rather gives a new view on the existing array. In the preceding example, changing one element of M would automatically result in a change in the corresponding element in v. When this behavior is not acceptable, you need to copy the data, as explained in Section 5.1: Array views and copies.

If you try to reshape an array with a shape that does not multiply to the original shape, an error is raised:

 ValueError: total size of new array must be unchanged.

Sometimes, it is convenient to specify only one shape parameter and let...

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