Book Image

Mastering Pandas for Finance

By : Michael Heydt
Book Image

Mastering Pandas for Finance

By: Michael Heydt

Overview of this book

Table of Contents (16 chapters)
Mastering pandas for Finance
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Notebook setup


The workbook and examples will all require the following code to execute and format output. It is similar to the previous chapters but also includes matplotlib imports to support many of the graphics that will be created, several options to fit data to the page in the text, the CSV (comma separated value) framework and the RE (regular expression) framework. Here's the code I am talking about:

In [1]:
   import pandas as pd
   import numpy as np
   import datetime as dt
   import matplotlib.pyplot as plt
   import pandas.io.data as web

   pd.set_option('display.notebook_repr_html', False)
   pd.set_option('display.max_columns', 8)
   pd.set_option('display.max_rows', 10) 
   pd.set_option('display.width', 78) 
   pd.set_option('precision', 6)

   %matplotlib inline