Pandas DataFrame Functions (Row and Column Manipulations)

In my first article, I gave a tutorial on some functions that will help you display your data with a Pandas DataFrame. Here, I will continue the tutorial and show you how to us a DataFrame to manipulate and visualize data. 

Rows and Columns Manipulation

Get a Distinct Value of a Column

To get the distinct values of a column, you can use the Numpy library. Do not forget to "import numpy as np" first. "np" is the conventional way to name the library in code.