Learn Matplotlib from Beginner to Advanced

Learn Matplotlib from Beginner to Advanced, available at $54.99, has an average rating of 5, with 30 lectures, based on 3 reviews, and has 11 subscribers.

You will learn about Anatomy of the Matplotlib figure 2D Data Visualization with Matplotlib 3D Data Visualization with Matplotlib Image Manipulation with Matplotlib This course is ideal for individuals who are Beginner to Intermediate python developers curious about Data Visualization or Data Scientist or Software developers trying to learn Matplotlib library of Python It is particularly useful for Beginner to Intermediate python developers curious about Data Visualization or Data Scientist or Software developers trying to learn Matplotlib library of Python.

Enroll now: Learn Matplotlib from Beginner to Advanced

Summary

Title: Learn Matplotlib from Beginner to Advanced

Price: $54.99

Average Rating: 5

Number of Lectures: 30

Number of Published Lectures: 30

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: $34.99

Quality Status: approved

Status: Live

What You Will Learn

Anatomy of the Matplotlib figure

2D Data Visualization with Matplotlib

3D Data Visualization with Matplotlib

Image Manipulation with Matplotlib

Who Should Attend

Beginner to Intermediate python developers curious about Data Visualization

Data Scientist or Software developers trying to learn Matplotlib library of Python

Target Audiences

Beginner to Intermediate python developers curious about Data Visualization

Data Scientist or Software developers trying to learn Matplotlib library of Python

This is a course on the matplotlib library of python which is one of the most popular tools for data visualization in python . The course aims to teach all the necessary tools required to start working with the matplotlib library. It starts off with the installation and configuring of the environment and basic plotting. We then move on to study the anatomy of the matplotlib figure. We learn about the building blocks of a matplotlib figure. We will learn to add and manipulate titles, x and y labels, ticks, markers, annotations, various styling to the layout, styling of the plots inside the axes and many more.  We will be using numpy for creating our input datas for visualization. We will also learn to configure the reconfiguration file to add custom layout and styling to our figure and axes. The course also aims to teach various plots, and diagrams such as line plots, scatter plots, bar diagrams, pie charts, histograms and so on. We will also learn to plot from the external files with the help of the pandas library and as well as save our plotted figure.  It also touches on the topics of image manipulationand 3d plottingwith matplotlib.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Installing and configuring working environment.

Chapter 2: Building Blocks of Matplotlib

Lecture 1: Building blocks of Matplotlib figure

Lecture 2: Adding title, label, and legend to a plot (OOP approach)

Lecture 3: Adding title, label and legend to a plot (pyplot approach)

Lecture 4: Creating multiple Axes

Lecture 5: Parameters of plot() method

Lecture 6: Creating Scatter plot

Lecture 7: Increase Resolution of a plot

Chapter 3: Intermediate to Advanced topics

Lecture 1: Customizing title and labels of a plot

Lecture 2: Adding text in Axes

Lecture 3: Setting Annotation

Lecture 4: Setting manual ticks

Lecture 5: Creating vertical and horizontal lines

Lecture 6: Plots in different scales

Lecture 7: Adding styles in matplotlib

Lecture 8: Manipulating legend

Lecture 9: Creating different shapes

Lecture 10: Reconfiguration File

Lecture 11: Bar Diagrams

Lecture 12: Bar Diagram with different hatches

Lecture 13: Rotating tick labels

Lecture 14: Formatting the currency

Lecture 15: Multiple visualizations

Lecture 16: Saving a figure

Lecture 17: Creating Histograms

Lecture 18: Creating Pie chart

Lecture 19: Basic Image Manipulation

Lecture 20: Plotting from external csv file

Lecture 21: 3d Plotting

Instructors

Bipan Bhatta
Software developer and Data Scientist

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5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!