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Mastering pandas for Finance by Michael Heydt

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Notebook setup

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 from Yahoo! Finance

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, ...

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