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Scientific Computing with Python

You're reading from   Scientific Computing with Python High-performance scientific computing with NumPy, SciPy, and pandas

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781838822323
Length 392 pages
Edition 2nd Edition
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Authors (4):
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Olivier Verdier Olivier Verdier
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Olivier Verdier
Jan Erik Solem Jan Erik Solem
Author Profile Icon Jan Erik Solem
Jan Erik Solem
Claus Führer Claus Führer
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Claus Führer
Claus Fuhrer Claus Fuhrer
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Claus Fuhrer
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Table of Contents (23) Chapters Close

Preface 1. Getting Started 2. Variables and Basic Types FREE CHAPTER 3. Container Types 4. Linear Algebra - Arrays 5. Advanced Array Concepts 6. Plotting 7. Functions 8. Classes 9. Iterating 10. Series and Dataframes - Working with Pandas 11. Communication by a Graphical User Interface 12. Error and Exception Handling 13. Namespaces, Scopes, and Modules 14. Input and Output 15. Testing 16. Symbolic Computations - SymPy 17. Interacting with the Operating System 18. Python for Parallel Computing 19. Comprehensive Examples 20. About Packt 21. Other Books You May Enjoy 22. References

5.2.1 Boolean arrays

Boolean arrays are useful for advanced array indexing (also see Section 5.3.1: Indexing with Boolean arrays). A Boolean array is simply an array for which the entries have the type bool:

A = array([True,False]) # Boolean array
A.dtype # dtype('bool')

Any comparison operator acting on arrays will create a Boolean array instead of a simple Boolean:

M = array([[2, 3],
           [1, 4]])
M > 2 # array([[False, True],
             # [False, True]])
M == 0 # array([[False, False],
             # [False, False]])
N = array([[2, 3],
           [0, 0]])
M == N # array([[True, True],
       # [False, False]])

Note that because array comparison creates Boolean arrays, one cannot use array comparison directly in conditional statements, for example, if statements. The solution is to use the methods all and any to create a simple True or False:

A = array([[1,2],[3,4]])
B = array([[1,2],[3,3]])
A == B # creates array([[True...
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