Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Learning IPython for Interactive Computing and Data Visualization, Second Edition
Learning IPython for Interactive Computing and Data Visualization, Second Edition

Learning IPython for Interactive Computing and Data Visualization, Second Edition: Get started with Python for data analysis and numerical computing in the Jupyter notebook

Arrow left icon
Profile Icon Cyrille Rossant
Arrow right icon
Can$31.99 Can$45.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (12 Ratings)
eBook Oct 2015 200 pages 1st Edition
eBook
Can$31.99 Can$45.99
Paperback
Can$56.99
Subscription
Free Trial
Arrow left icon
Profile Icon Cyrille Rossant
Arrow right icon
Can$31.99 Can$45.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (12 Ratings)
eBook Oct 2015 200 pages 1st Edition
eBook
Can$31.99 Can$45.99
Paperback
Can$56.99
Subscription
Free Trial
eBook
Can$31.99 Can$45.99
Paperback
Can$56.99
Subscription
Free Trial

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Table of content icon View table of contents Preview book icon Preview Book

Learning IPython for Interactive Computing and Data Visualization, Second Edition

Chapter 2. Interactive Data Analysis with pandas

In this chapter, we will cover the following topics:

  • Exploring a dataset in the Notebook
  • Manipulating data
  • Complex operations

We'll see how to load, explore, and visualize a real-world dataset with pandas, matplotlib, and seaborn, all in the Notebook. We will also perform data manipulations efficiently.

Exploring a dataset in the Notebook

Here, we will explore a dataset containing the taxi trips made in New York City in 2013. Maintained by the New York City Taxi and Limousine Commission, this 50GB dataset contains the date, time, geographical coordinates of pickup and dropoff locations, fare, and other information for 170 million taxi trips.

To keep the analysis times reasonable, we will analyze a subset of this dataset containing 0.5% of all trips (about 850,000 rides). Compressed, this subset data represents a little less than 100MB. You are free to download and analyze the full dataset (or a larger subset), as explained below.

Provenance of the data

You will find the data subset we will be using in this chapter at https://github.com/ipython-books/minibook-2nd-data.

If you are interested in the original dataset containing all trips, you can refer to https://github.com/ipython-books/minibook-2nd-code/tree/master/chapter2/cleaning. This page contains the code to download the original dataset...

Manipulating data

Visualizing raw data and computing basic statistics is particularly easy with pandas. All we have to do is choose a couple of columns in a DataFrame and use built-in statistical or visualization functions.

However, more sophisticated data manipulations methods quickly become necessary as we explore a dataset. In this section, we will first see how to make selections of a DataFrame. Then, we will see how to efficiently make transformations and computations on columns.

We first import the NYC taxi dataset, as in the previous section.

In [1]: import numpy as np
        import pandas as pd
        import matplotlib.pyplot as plt
        %matplotlib inline
        data = pd.read_csv('data/nyc_data.csv', 
                           parse_dates=['pickup_datetime',
                                        'dropoff_datetime'])
        fare = pd.read_csv('data/nyc_fare.csv',
                           parse_dates=['pickup_datetime']...

Complex operations

We've seen how to load, select, filter, and operate on data with pandas. In this section, we will show more complex manipulations that are typically done on full-blown databases based on SQL.

Tip

SQL

Structured Query Language is a domain-specific language widely used to manage data in relational database management systems (RDBMS). pandas is somewhat inspired by SQL, which is familiar to many data analysts. Additionally, pandas can connect to SQL databases. You will find more information about the links between pandas and SQL at http://pandas.pydata.org/pandas-docs/stable/comparison_with_sql.html.

Let's first import our NYC taxi dataset as in the previous sections.

In [1]: import numpy as np
        import pandas as pd
        import matplotlib.pyplot as plt
        import seaborn
        %matplotlib inline
        data = pd.read_csv('data/nyc_data.csv',
                           parse_dates=['pickup_datetime',
                          ...

Summary

In this chapter, we covered the basics of data analysis with pandas: loading a dataset, selecting rows and columns, grouping and aggregating quantities, and performing complex operations efficiently.

The next natural step is to conduct statistical analyses: hypothesis testing, modeling, predictions, and so on. Several Python libraries provide such functionality beyond pandas: SciPy, statsmodels, PyMC, and more. The IPython Cookbook contains many advanced examples of such analyses.

In the next chapter, we will introduce NumPy, the library underlying the entire SciPy ecosystem.

Left arrow icon Right arrow icon

Key benefits

  • • Learn the basics of Python in the Jupyter Notebook
  • • Analyze and visualize data with pandas, NumPy, matplotlib, and seaborn
  • • Perform highly-efficient numerical computations with Numba, Cython, and ipyparallel

Description

Python is a user-friendly and powerful programming language. IPython offers a convenient interface to the language and its analysis libraries, while the Jupyter Notebook is a rich environment well-adapted to data science and visualization. Together, these open source tools are widely used by beginners and experts around the world, and in a huge variety of fields and endeavors. This book is a beginner-friendly guide to the Python data analysis platform. After an introduction to the Python language, IPython, and the Jupyter Notebook, you will learn how to analyze and visualize data on real-world examples, how to create graphical user interfaces for image processing in the Notebook, and how to perform fast numerical computations for scientific simulations with NumPy, Numba, Cython, and ipyparallel. By the end of this book, you will be able to perform in-depth analyses of all sorts of data.

Who is this book for?

This book targets students, teachers, researchers, engineers, analysts, journalists, hobbyists, and all data enthusiasts who are interested in analyzing and visualizing real-world datasets. If you are new to programming and data analysis, this book is exactly for you. If you're already familiar with another language or analysis software, you will also appreciate this introduction to the Python data analysis platform. Finally, there are more technical topics for advanced readers. No prior experience is required; this book contains everything you need to know.

What you will learn

  • • Install Anaconda and code in Python in the Jupyter Notebook
  • • Load and explore datasets interactively
  • • Perform complex data manipulations effectively with pandas
  • • Create engaging data visualizations with matplotlib and seaborn
  • • Simulate mathematical models with NumPy
  • • Visualize and process images interactively in the Jupyter Notebook with scikit-image
  • • Accelerate your code with Numba, Cython, and IPython.parallel
  • • Extend the Notebook interface with HTML, JavaScript, and D3

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 21, 2015
Length: 200 pages
Edition : 1st
Language : English
ISBN-13 : 9781783986996
Category :
Languages :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Oct 21, 2015
Length: 200 pages
Edition : 1st
Language : English
ISBN-13 : 9781783986996
Category :
Languages :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just Can$6 each
Feature tick icon Exclusive print discounts
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just Can$6 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total Can$ 188.97
IPython Interactive Computing and Visualization Cookbook
Can$69.99
Learning IPython for Interactive Computing and Data Visualization, Second Edition
Can$56.99
Python Machine Learning
Can$61.99
Total Can$ 188.97 Stars icon

Table of Contents

7 Chapters
1. Getting Started with IPython Chevron down icon Chevron up icon
2. Interactive Data Analysis with pandas Chevron down icon Chevron up icon
3. Numerical Computing with NumPy Chevron down icon Chevron up icon
4. Interactive Plotting and Graphical Interfaces Chevron down icon Chevron up icon
5. High-Performance and Parallel Computing Chevron down icon Chevron up icon
6. Customizing IPython Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5
(12 Ratings)
5 star 75%
4 star 0%
3 star 25%
2 star 0%
1 star 0%
Filter icon Filter
Top Reviews

Filter reviews by




Leif C. Ulstrup Nov 29, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a great introduction to using the latest version of iPython (aka jupyter notebook). It is well written with a wide range of examples. The examples are at just the right level to get you started and nudge you in the right direction to explore more. I intend to purchase the author's iPython Cookbook with more in depth examples based on the quality of this book.
Amazon Verified review Amazon
J. Rice Feb 15, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a good read. Many good concise examples.
Amazon Verified review Amazon
David E. May 02, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Good primer on Jupyter, IPython, and data science learning.
Amazon Verified review Amazon
Jerry Moore Jan 10, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Fun and easy to read. A tutorial.
Amazon Verified review Amazon
ruben Dec 26, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a great introduction to using the latest version of iPython. It has many examples all of them start from the beginning to the most dificult ones. The book has a great content very easy to understand. I got this information beause it has the most important thing to apply in development programming and data presentation software.Ruben.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

How do I buy and download an eBook? Chevron down icon Chevron up icon

Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.

Please Note: Packt eBooks are non-returnable and non-refundable.

Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:

  • You may make copies of your eBook for your own use onto any machine
  • You may not pass copies of the eBook on to anyone else
How can I make a purchase on your website? Chevron down icon Chevron up icon

If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:

  1. Register on our website using your email address and the password.
  2. Search for the title by name or ISBN using the search option.
  3. Select the title you want to purchase.
  4. Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title. 
  5. Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)
Where can I access support around an eBook? Chevron down icon Chevron up icon
  • If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
  • To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
  • To view your account details or to download a new copy of the book go to www.packtpub.com/account
  • To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us
What eBook formats do Packt support? Chevron down icon Chevron up icon

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks? Chevron down icon Chevron up icon
  • You can get the information you need immediately
  • You can easily take them with you on a laptop
  • You can download them an unlimited number of times
  • You can print them out
  • They are copy-paste enabled
  • They are searchable
  • There is no password protection
  • They are lower price than print
  • They save resources and space
What is an eBook? Chevron down icon Chevron up icon

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.