Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Learning pandas
Learning pandas

Learning pandas: High performance data manipulation and analysis using Python , Second Edition

eBook
€8.99 €32.99
Paperback
€41.99
Subscription
Free Trial
Renews at €18.99p/m

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 pandas

Up and Running with pandas

In this chapter, we will cover how to install pandas and start using its basic functionality. The content of the book is provided as IPython and Jupyter notebooks, and hence we will also take a quick look at using both of those tools.

This book will utilize the Anaconda scientific Python distribution from Continuum. Anaconda is a popular Python distribution with both free and paid components. Anaconda provides cross-platform support, including Windows, Mac, and Linux. The base distribution of Anaconda installs pandas, IPython and Jupyter Notebook, thereby making it almost trivial to get started.

In this chapter will cover the following topics:

  • Installation of Anaconda, pandas, and IPython/Jupyter Notebook
  • Using IPython and Jupyter Notebook
  • Jupyter and its notebooks
  • Setting up your pandas environments
  • A quick introduction to the pandas Series and DataFrame...

Installation of Anaconda

This book will utilize Anaconda Python version 3, specifically 3.6.1. At the time of writing, pandas is at version 0.20.2. The Anaconda installer by default will install Python, IPython, Jupyter Notebook, and pandas.

Anaconda Python can be downloaded from the Continuum Analytics website at http://continuum.io/downloads. The web server will identify your browser's operating system and present you with an appropriate software download file for that platform.

When opening this URL in your browser you will see a page similar to the following:

Click on the link for the installer for your platform. This will present you with a download page similar to the following:

Download the 3.x installer. The current version of Anaconda and which will be used in this book is 4.3.1, with Python 3.6.1:

This changes frequently and by the time you read this it has probably...

IPython and Jupyter Notebook

So far we have executed Python from the command line or Terminal. This is the default Read-Eval-Print-Loop (REPL) that comes with Python. This can be used to run all the examples in this book, but the book will use IPython for statements in the text and the code package Jupyter Notebook. Let's take a brief look at both.

IPython

IPython is an alternate shell for interactively working with Python. It provides several enhancements to the default REPL provided by Python.

If you want to learn about IPython in more detail, check out the documentation at https://ipython.org/ipython-doc/3/interactive/tutorial.html

To start IPython, simply execute the ipython command from the command line/Terminal...

Introducing the pandas Series and DataFrame

Let's jump into using some pandas with a brief introduction to pandas two main data structures, the Series and the DataFrame. We will examine the following:

  • Importing pandas into your application
  • Creating and manipulating a pandas Series
  • Creating and manipulating a pandas DataFrame
  • Loading data from a file into a DataFrame

Importing pandas

Every notebook we will use starts by importing pandas and several other useful Python libraries first. It will also set up several options to control how pandas renders output in a Jupyter Notebook. This code consists of the following:

The first statement imports NumPy and refers to items in the library as np.. We won't go into much...

Visualization

We will dive into visualization in quite some depth in Chapter 14, Visualization, but prior to then we will occasionally perform a quick visualization of data in pandas. Creating a visualization of data is quite simple with pandas. All that needs to be done is to call the .plot() method. The following demonstrates by plotting the Close value of the stock data:

Summary

In this chapter, we installed the Anaconda Scientific version of Python. This also installs pandas and Jupyter Notebook, setting you right up with an environment for performing data manipulation and analysis, along with creating notebooks to visualize, present, and share your analyses.

We also took an introductory look at the pandas Series and DataFrame objects, demonstrating some of the fundamental capabilities. This exposition showed you how to perform a few basic operations that you can use to get up and running with pandas prior to diving in and learning all the details.

In the next several chapters, we will dive deep into the operations of the Series and DataFrame, with the next chapter focusing specifically on the Series.

Left arrow icon Right arrow icon

Key benefits

  • • Get comfortable using pandas and Python as an effective data exploration and analysis tool
  • • Explore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis process
  • • A comprehensive guide to pandas with many of clear and practical examples to help you get up and using pandas

Description

You will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance. With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science.

Who is this book for?

This book is ideal for data scientists, data analysts, Python programmers who want to plunge into data analysis using pandas, and anyone with a curiosity about analyzing data. Some knowledge of statistics and programming will be helpful to get the most out of this book but not strictly required. Prior exposure to pandas is also not required.

What you will learn

  • • Understand how data analysts and scientists think about of the processes of gathering and understanding data
  • • Learn how pandas can be used to support the end-to-end process of data analysis
  • • Use pandas Series and DataFrame objects to represent single and multivariate data
  • • Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources
  • • How to access data from external sources such as files, databases, and web services
  • • Represent and manipulate time-series data and the many of the intricacies involved with this type of data
  • • How to visualize statistical information
  • • How to use pandas to solve several common data representation and analysis problems within finance

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jun 30, 2017
Length: 446 pages
Edition : 2nd
Language : English
ISBN-13 : 9781787123137
Category :
Languages :
Concepts :
Tools :

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 : Jun 30, 2017
Length: 446 pages
Edition : 2nd
Language : English
ISBN-13 : 9781787123137
Category :
Languages :
Concepts :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
€18.99 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
€189.99 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 €5 each
Feature tick icon Exclusive print discounts
€264.99 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 €5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total 151.97
Python: End-to-end Data Analysis
€67.99
Learning pandas
€41.99
Pandas Cookbook
€41.99
Total 151.97 Stars icon
Banner background image

Table of Contents

15 Chapters
pandas and Data Analysis Chevron down icon Chevron up icon
Up and Running with pandas Chevron down icon Chevron up icon
Representing Univariate Data with the Series Chevron down icon Chevron up icon
Representing Tabular and Multivariate Data with the DataFrame Chevron down icon Chevron up icon
Manipulating DataFrame Structure Chevron down icon Chevron up icon
Indexing Data Chevron down icon Chevron up icon
Categorical Data Chevron down icon Chevron up icon
Numerical and Statistical Methods Chevron down icon Chevron up icon
Accessing Data Chevron down icon Chevron up icon
Tidying Up Your Data Chevron down icon Chevron up icon
Combining, Relating, and Reshaping Data Chevron down icon Chevron up icon
Data Aggregation Chevron down icon Chevron up icon
Time-Series Modelling Chevron down icon Chevron up icon
Visualization Chevron down icon Chevron up icon
Historical Stock Price Analysis Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5
(2 Ratings)
5 star 50%
4 star 0%
3 star 0%
2 star 50%
1 star 0%
Terry Letsche Sep 06, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book was truly brand-new looking, and it arrived promptly.
Amazon Verified review Amazon
Stephen Brown Aug 01, 2017
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
I have the McKinney book ("Python for Data Analysis", first edition) and was getting this hoping that it filled in some of the gaps in that one, especially with some more advanced grouping/aggregation.What I liked:* You can get the kindle version super cheap if you buy the hard copy* A little more up-to-date in a few places than the McKinney book (although the second edition of that one is coming out in Fall 2017)What I didn't like:* Lots of typos and poor editing*** Just as one example, in both the kindle and printed version, most of the figures in Chapter 6 are off by one from where they should be, so if you see Text1: Figure 1, Text 2: Figure 2, then Text1 explicitly refers to the contents of Figure 1, but you have to skip down to the next figure (Figure 2) to see the actual correct figure. There are lots of other examples, but I just gave up even making note of them after a while. How embarrassing!!!* Tons of whitespace and huge fonts that are obviously used as filler (apparently this is typical of Packt books; I tend to stick with O'Reilly if possible, so I didn't know that going in)* Much more expensive than McKinney while not really covering any topics better, and a few not as wellI tried to write a balanced review, but I was honestly more disappointed in this book than almost any other technical book I've purchased in the past 20 years, especially given how expensive it is. Do yourself a favor and just stick with the McKinney book, especially when the second edition comes out in a few months.
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.