The examples in this chapter will be based on the following configuration in IPython:
In [1]: import pandas as pd import numpy as np import pandas.io.data as web from datetime import datetime import matplotlib.pyplot as plt %matplotlib inline pd.set_option('display.notebook_repr_html', False) pd.set_option('display.max_columns', 7) pd.set_option('display.max_rows', 15) pd.set_option('display.width', 82) pd.set_option('precision', 3)
Options data can be obtained from several sources. Publicly listed options are exchanged on the Chicago Board Options Exchange (CBOE) and can be obtained from their website. Through the DataReader class, pandas also provides built-in (although in the documentation, this is referred to as experimental) access to options data.
The following command reads all currently available options data for AAPL:
In [2]: aapl_options = web.Options('AAPL', 'yahoo') aapl_options = aapl_options...