HomeCoursesMatplotlib for Python: Visually Represent Data with Plots

4.3

Intermediate

Matplotlib for Python: Visually Represent Data with Plots

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.

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Overview

Content

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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.

For data science, Matplotlib is one of the most popular tools for representing data in a visual manner. There are many other too...Show More

Content

32 Lessons2 Quizzes

Introduction

2 Lessons

Get familiar with Matplotlib fundamentals for creating versatile data visualizations in Python.

About the Course

Basics of Matplotlib

How to Draw Various Plot Elements

13 Lessons

Walk through various plot elements in Matplotlib, customizing ticks, spines, legends, text, grids, and colors.

How to Draw a Figure

Other Methods for Drawing a Figure

Setting the Tick for a Plot

Controlling the Spine

Adding a Legend to the Plot

Using Annotate to Identify Data Points

Adding Text to a Plot

Using the Grid to Help Locate Data

Setting the Title of a Plot

Placing Multiple Plots onto One Figure Using Subplots

Creating Complex Layouts with GridSpec

Colors

Quiz: Figure Elements

How to Draw Different Types of Plots

17 Lessons

Work your way through creating various plots in Matplotlib to enhance data visualization.

How to Draw a Line Plot

How to Draw a Scatter Plot

How to Draw a Bar Plot

Using Error Bars to Show Uncertainty

How to Draw a Histogram Plot

How to Draw a Pie Plot

How to Draw a Box Plot

How to Draw a Heatmap Plot

How to Draw a Radar Plot

Using Color Bars to Improve Data Readability

How to Draw a 3D Plot Using Surface Plot

Using Fill Between to Fill the Area between Two Curves

How to Draw a Stem Plot

How to Draw a Stack Plot

XKCD

Quiz: Different Types of Plots

Final Remarks

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Neko Yan

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