Gain insights into visually representing data with Matplotlib in Python. Explore plotting techniques, control axes, create complex layouts, and draw various plots, enhancing your data science skills.

For data science, Matplotlib is one of the most popular tools for representing data in a visual manner. There are many other tools, but for the Python user, Matplotlib is a must-know.

In this course, you will learn how to visually represent data in several different ways. You will learn how to use figures and axes to plot a chart, as well as how to plot from multiple types of objects and modules.

You will also discover ways to control the spine of an axes and how to create complex layouts for a figure using GridSpec so you can create visually stunning charts.

In the latter half of the course, you will focus on how to draw various types of plots, whether it be a line plot, a stem plot, or a heatmap plot. Overall, this is your no-fuss introduction to creating impactful data charts.

By the end, you will have an important new skill to add to your resume. As any data scientist knows, it is necessary that you be able to show insights found from analyzing data.

Matplotlib for Python: Visually Represent Data with Plots

`stem` plots are similar to scatter plots because there are no links between individual data points. However, stem plots include vertical lines that connect each data point to the baseline, while placing a marker at the tip. The `stem` plot has the advantage of being able to clearly show the shape of a data set’s distribution.

Below are some important parameters required by `stem()`.

- `x`: The position of the stems on the x-axis.
- `y`: The position of the stem heads on the y-axis.
- `linefmt`: A string defining the properties of the vertical lines.
- `markerfmt`: A string defining the properties of the markers at the stem heads.
- `bottom`: The position of the baseline on the y-axis.

In this lesson, we will learn how to draw a stem plot, which helps readers see the shape of a data set’s distribution.

Introduction

How to Draw Various Plot Elements

How to Draw Different Types of Plots

How to Draw a Stem Plot