Querying data in Pandas

Since a Pandas DataFrame is structured in a similar way to a relational database, we can view operations that read data from a DataFrame as a query. In this example, we will retrieve the annual sunspot data from Quandl. We can either use the Quandl API or download the data manually as a CSV file from http://www.quandl.com/SIDC/SUNSPOTS_A-Sunspot-Numbers-Annual. If you want to install the API, you can do so by downloading installers from https://pypi.python.org/pypi/Quandl or by running the following command:

$ pip3 install Quandl

Note

Using the API is free, but is limited to 50 API calls per day. If you require more API calls, you will have to request an authentication key. The code in this tutorial is not using a key. It should be simple to change the code to either use a key or read a downloaded CSV file. If you have difficulties, refer to the Where to find help and references section in Chapter 1, Getting Started with Python Libraries, or search through the Python...