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Complete all chapters to get certificate

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Matplotlib Introduction

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First, we will discuss plotting applications, Matplotlib library, and its advantages. Afterwards you will create your first simple plot using Matplotlib.

Plotting Applications

Why Use Matplotlib?

Creating a Canvas

Basic Plotting

Creating Commonly Used Plots

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Now you are ready to create various commonly used in practice plots. Without further ado, let's dive in right now!

Line Plot

Multiple Line Plots

Scatter Plot

Bar Chart

Stacked Bar Charts

Grouped Bar Charts

Plots Customization

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Plotting and visualization is not only about creating a plot or several plots, it is also about making them clear, understandable and pleasant to look at. Time to learn plots customization in maplotlib, let's do it!

Adding Title to the Plot

Adding Legend

Axes Customization

Colors and Transparency

Customizing Grid

Subplots

More Statistical Plots

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Statistics is essential in working with data, hence why it is extremely important to know how to create various statistical plots. Now it's time for us to explore the most common ones.

Histogram

Box Plot

Pie Chart

Plotting with Seaborn

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Seaborn is another powerful plotting library in Python built on top of matplotlib. Now that you are familiar with matplotlib, it's time to dive into visualization with seaborn.

Seaborn Introduction

Countplot

Plots Decoration

KDE Plot

Joint Plot

Pair Plot

Heatmap