In this free Python Matplotlib course, you will learn about how you can use multiple types of plots and operations based on them.
Matplotlib is a popular and most commonly used Python package that works with data visualizations. It is a cross-platform library to work with creating multiple plots using data that are present in the form of arrays.
Matplotlib is designed in Python and uses a numerical mathematics extension of Python, NumPy. Ample amount of examples are provided to help you have full clarity on how you can work on and understand fully how these visualizations work.
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The objective of this module is to impart an understanding of line plots and the process of creating them.
The aim of this module is to elaborate on scatter plots, including the procedure for creating them and the ways they are utilized to analyze the relationship between two numerical data points.
The emphasis of this module is on bar plots and horizontal plots, including the steps involved in creating them.
The purpose of this module is to elaborate on the histogram and box plot. A histogram provides insights into the distribution of a continuous numerical data column, while a box plot presents a five number summary.
The focus of this module is on the violin plot, as well as charts like pie charts and donut charts and the process of creating them.
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