Via this module, users can download various economics and financial via Yahoo! Finance, Google Finance, Federal Reserve Economics Data (FRED), and Fama-French factors.
Assume that the pandas_reader
module is installed. For detail on how to install this module, see the How to install a Python module section. First, let's look at the simplest example, just two lines to get IBM's trading data; see the following:
import pandas_datareader.data as web df=web.get_data_google("ibm")
We could use a dot head and dot tail to show part of the results; see the following code:
>>> df.head() >>> Open High Low Close Volume Date 2010-01-04 131.179993 132.970001 130.850006 132.449997 6155300 2010-01-05 131.679993 131.850006 130.100006 130.850006 6841400 2010-01-06 130.679993 131.490005 129.809998 130.000000 5605300 2010...