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Learning NumPy Array

You're reading from   Learning NumPy Array Supercharge your scientific Python computations by understanding how to use the NumPy library effectively

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783983902
Length 164 pages
Edition Edition
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Table of Contents (14) Chapters Close

Learning NumPy Array
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with NumPy FREE CHAPTER 2. NumPy Basics 3. Basic Data Analysis with NumPy 4. Simple Predictive Analytics with NumPy 5. Signal Processing Techniques 6. Profiling, Debugging, and Testing 7. The Scientific Python Ecosystem Index

Broadcasting arrays


In a nutshell, NumPy tries to perform an operation even though the operands do not have the same shape. In this section, we will multiply an array and a scalar. The scalar is extended to the shape of an array operand, and then the multiplication is performed. We will download an audio file and make a new version that is quieter:

  1. First, read the WAV file. We will use standard Python code to download an audio file of Austin Powers saying "Smashing, baby". SciPy has a wavfile module that allows you to load sound data or generate WAV files. If SciPy is installed, then we should already have this module. The read() function returns a data array and sample rate. In this example, we only care about the data.

    sample_rate, data = scipy.io.wavfile.read(WAV_FILE)
  2. Plot the original WAV data with Matplotlib. Give the subplot the title, Original, as shown in the following lines of code:

    plt.subplot(2, 1, 1)
    plt.title("Original")
    plt.plot(data)
  3. Now create a new array. We will use NumPy to...

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