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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 3 – Adding data exploration to the USFlightsAnalysis PixieApp


In this section, we want to extend the route analysis screen of the USFlightsAnalysis PixieApp to add two charts showing the historical arrival delay for each airline that flies out of the selected origin airport: one for all the flights coming out of the origin airport and one for all the flights regardless of airport. This will give us a way to compare visually whether the delay for a particular airport is better or worse than for all the other airports.

We start by implementing a method that selects the flights for a given airline. We also add an optional airport argument that can be used to control whether we include all flights or only the one that originates from this airport. The returned DataFrame should have two columns: DATE and ARRIVAL_DELAY.

The following code shows the implementation of this method:

def compute_delay_airline_df(airline, org_airport=None):
    # create a mask for selecting the data
    mask = (flights...
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