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
Free Trial
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (12 Ratings)
Paperback Oct 2015 200 pages 1st Edition
eBook
zł59.99 zł145.99
Paperback
zł181.99
Subscription
Free Trial
Arrow left icon
Profile Icon Cyrille Rossant
Arrow right icon
Free Trial
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (12 Ratings)
Paperback Oct 2015 200 pages 1st Edition
eBook
zł59.99 zł145.99
Paperback
zł181.99
Subscription
Free Trial
eBook
zł59.99 zł145.99
Paperback
zł181.99
Subscription
Free Trial

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing
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 : 9781783986989
Category :
Languages :

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Oct 21, 2015
Length: 200 pages
Edition : 1st
Language : English
ISBN-13 : 9781783986989
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 zł20 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 zł20 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total 601.97
IPython Interactive Computing and Visualization Cookbook
zł221.99
Learning IPython for Interactive Computing and Data Visualization, Second Edition
zł181.99
Python Machine Learning
zł197.99
Total 601.97 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

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.