Hands-On Exploratory Data Analysis with Python

Pandas

Wes McKinney open sourced the pandas library (https://github.com/wesm) that has been widely used in data science. We will be utilizing this library to get meaningful insight from the data. Before delving in detail into this section, we are going to revisit some of the most fundamental techniques in pandas that you should be familiar with so as to be able to follow upcoming chapters. If these things are new to you, feel free to check one of the further reading sections for additional resources. Perform the following steps:

1. Use the following to set default parameters:

import numpy as npimport pandas as pdprint("Pandas Version:", pd.__version__)pd.set_option('display.max_columns', 500)pd.set_option('display.max_rows', 500)

2. In pandas, ...