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Data Analysis with Python

You're reading from   Data Analysis with Python A Modern Approach

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789950069
Length 490 pages
Edition 1st Edition
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Author (1):
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David Taieb David Taieb
Author Profile Icon David Taieb
David Taieb
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Table of Contents (14) Chapters Close

Preface 1. Programming and Data Science – A New Toolset FREE CHAPTER 2. Python and Jupyter Notebooks to Power your Data Analysis 3. Accelerate your Data Analysis with Python Libraries 4. Publish your Data Analysis to the Web - the PixieApp Tool 5. Python and PixieDust Best Practices and Advanced Concepts 6. Analytics Study: AI and Image Recognition with TensorFlow 7. Analytics Study: NLP and Big Data with Twitter Sentiment Analysis 8. Analytics Study: Prediction - Financial Time Series Analysis and Forecasting 9. Analytics Study: Graph Algorithms - US Domestic Flight Data Analysis 10. The Future of Data Analysis and Where to Develop your Skills A. PixieApp Quick-Reference Other Books You May Enjoy Index

Part 2 – Creating the USFlightsAnalysis PixieApp


For the first iteration of our USFlightsAnalysis, we want to implement a simple user story that leverages the analytics created in Part 1:

  • The welcome screen will show two drop-down controls for selecting an origin and a destination airport

  • When an airport is selected, we show a graph showing the selected airports and its immediate neighbors

  • When both airports are selected, the user clicks on the Analyze button to show a Mapbox map with all the airports

  • The user can select one of the centrality indices available as checkboxes to show the shortest flight path according to the selected centrality

Let's first look at the implementation for the welcome screen which is implemented in the default route of the USFlightsAnalysis PixieApp. The following code defines the USFlightsAnalysis class which is decorated with the @PixieApp decorator to make it a PixieApp. It contains a main_screen() method that is decorated with the @route() decorator to make it...

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