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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
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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

Comparing solar radiation versus temperature


The Sun is of course a very important factor when it comes to temperature. Unfortunately, the De Bilt dataset from the KNMI is missing a lot of data concerning the Sun's radiation. The data is given in Joule per square centimeter. There are also other variables in the file, which are derived from solar radiation, such as the sunshine duration in hours.

We are going to analyze the radiation data a bit, draw a histogram, and compare it with the daily average temperatures. To compare, we will calculate the correlation coefficient between radiation and temperature and plot yearly relative changes in average temperature and radiation. Originally it seemed a good idea to have a scatter plot, but that didn't look right with thousands of data points, so instead, it was decided to compress the data as it were. Later, the author realized that radiation was present from around 1960 onwards, so it might have been better to plot the correlations coefficient...

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