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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

10. 1 A guiding example: Solar cells

To describe pandas in the best way, we need data. Thus, in this chapter, we will use production data from solar cell panels on the roof of a private house in the south of Sweden.

In the file solarWatts.dat there is data about the electricity production in watts per minute. A semicolon is used as a data separator and the first line in the file is a header line, explaining the content of the data columns:

Date;Watt
:
2019-10-20 08:22:00 ; 44.0
2019-10-20 08:23:00 ; 61.0
2019-10-20 08:24:00 ; 42.0
:

In another file, price.dat, we find the hourly electricity production price in Swedish crowns. The file is otherwise organized as before:

Date;SEK
2019-10-20 01:00 ; 0.32
2019-10-20 02:00 ; 0.28
2019-10-20 03:00 ; 0.29
:

Finally, in a third file, rates.dat, we find the daily conversion rates from Swedish crowns to Euros (€):

Date;Euro_SEK
2019-10-21 ; 10.7311
2019-10-22 ; 10.7303
2019-10-23 ; 10.7385
:

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