Book Image

Learning Pandas

By : Michael Heydt
Book Image

Learning Pandas

By: Michael Heydt

Overview of this book

Table of Contents (19 chapters)
Learning pandas
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Example data


Where possible, the examples in this chapter will utilize several datasets provided with the code in the download for the text. These datasets make the examples a little less academic in nature. These datasets will be read from files using the pd.read_csv() function that will load the sample data from the file into a DataFrame object.

Note

pd.read_csv() will be more extensively examined in Chapter 6, Accessing Data. For now, its function is simply to load some example DataFrame objects.

The remainder of the samples will still utilize the DataFrame objects created on demand if they demonstrate the concept being examined in a better way. Let's see the brief descriptions of these datasets.

S&P 500

The first dataset we will use is a snapshot of the S&P 500 from Yahoo! Finance. The following code shows the first three lines of the file:

In [13]:
   # show the first three lines of the file
   !head -n 3 data/sp500.csv # on Mac or Linux
   # !type data\sp500.csv # on Windows, but...