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NumPy Beginner's Guide

You're reading from   NumPy Beginner's Guide An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library.

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Product type Paperback
Published in Apr 2013
Publisher Packt
ISBN-13 9781782166085
Length 310 pages
Edition 2nd 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 (19) Chapters Close

Numpy Beginner's Guide Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. NumPy Quick Start FREE CHAPTER 2. Beginning with NumPy Fundamentals 3. Get in Terms with Commonly Used Functions 4. Convenience Functions for Your Convenience 5. Working with Matrices and ufuncs 6. Move Further with NumPy Modules 7. Peeking into Special Routines 8. Assure Quality with Testing 9. Plotting with Matplotlib 10. When NumPy is Not Enough – SciPy and Beyond 11. Playing with Pygame Pop Quiz Answers Index

Time for action – calculating the net present value


We will calculate the net present value for a randomly generated cash flow series. Perform the following steps to do so:

  1. Generate five random values for the cash flow series. Insert -100 as the start value.

    cashflows = np.random.randint(100, size=5)
    cashflows = np.insert(cashflows, 0, -100)
    print "Cashflows", cashflows

    The cash flows would be shown as follows:

    Cashflows [-100   38   48   90   17   36]
    
  2. Call the npv function to calculate the net present value from the cash flow series we generated in the previous step. Use a rate of three percent.

    print "Net present value", np.npv(0.03, cashflows)

    The net present value would be shown as follows:

    Net present value 107.435682443
    

What just happened?

We computed the net present value from a randomly generated cash flow series with the NumPy npv function (see netpresentvalue.py).

import numpy as np

cashflows = np.random.randint(100, size=5)
cashflows = np.insert(cashflows, 0, -100)
print "Cashflows...
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