Before we start plotting, we need to import the data we intend to plot and get familiar with basic plotting commands in Matplotlib. Let's start going through these basic commands!
While working on data visualization projects, we need to ensure that we have basic familiarity and understanding of the tools used for data processing. Before we begin, let's briefly revise the most common data structures you will encounter when handling data with Python.
This is the most basic Python data structure; it stores a collection of values. While you can store any data type as an element in a Python list, for our purpose of data visualization, we mostly handle lists of numerical values as data input, or at, most, lists with elements of the same data type, such as strings to store text labels.
A list is specified by square brackets, []. To initiate an empty list, assign [] to a variable by l = []. To create a list, we can write the following:
fibonacci = [1,1,2,3,5,8,13]
Sometimes, we may want...
