Mastering pandas for Finance

Conventions

In this book, you will find a number of styles of text that distinguish between different kinds of information. Here are some examples of these styles, and an explanation of their meaning.

Code words in text are shown as follows: "This information can be easily imported into DataFrame using the pd.read_csv() function as follows."

A block of code entered in a Python interpreter is set as follows:

import pandas as pd
df = pd.DataFrame.from_items([('column1', [1, 2, 3])])
print (df)

Any command-line/IPython input or output is written as follows:

In [2]:
   # create a DataFrame with 5 rows and 3 columns
   df = pd.DataFrame(np.arange(0, 15).reshape(5, 3), 
                  index=['a', 'b', 'c', 'd', 'e'], 
                  columns=['c1', 'c2', 'c3'])
   df

Out[2]:
      c1  c2  c3