Matplotlib Tutorial
4.2 (38 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
7,326 students enrolled

Matplotlib Tutorial

Plotting using Python's visualization tool
4.2 (38 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
7,326 students enrolled
Created by Ajay Tech
Last updated 1/2020
English
English [Auto]
Current price: $34.99 Original price: $49.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 3.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
Training 5 or more people?

Get your team access to 4,000+ top Udemy courses anytime, anywhere.

Try Udemy for Business
What you'll learn
  • Explore Matplotlib's interfaces.
  • Apply the various techniques in Matplotlib for visualizing data.
  • Create various types of visualizations.
Requirements
  • Basics of Python programming language.
  • It is recommended to install Python with the required packages on your system. Installing the latest version of Python (3.7) from the Anaconda Distribution website automatically installs Matplotlib and Jupyter notebook along with Python.
  • All examples are demonstrated on the Jupyter Notebook, so it is suggested to use Jupyter notebook to follow along.
Description

Pie charts and Bar charts - Have you heard of them ? If you have, you would be right at home with doing them in Python. This course is all about visualizing data using charts and plots with Python's most popular visualization package - Matplotlib.

Data visualization tools are used to analyse, format and publish the data. This data is used in statistical analysis, research, health care, social media analysis etc.,

Matplotlib is a data visualization library in Python on which other libraries like Seaborn are built.

Having a good understanding of Matplotlib helps you learning the other libraries quickly. And this tutorial presents you with various examples in order to get comfortable with the different forms of plots and interfaces of Matplotlib.

At the end of this course, you will be able to plot data using a variety of plotting tools like Pie chart, Bar chart, Histogram, Line plots, Scatter plots etc using Python's Matplotlib package.

Please feel free to ask questions on any issue that you may face while taking the course, our team would be glad to help you.


#matplotlib #python #visualization #tool

Who this course is for:
  • Anybody having basic knowledge of Python Programming language and interested to learn Matplotlib can take up this course.
  • Software Programmers
Course content
Expand all 23 lectures 03:33:37
+ Line Plots
5 lectures 41:14
Line Plot and Components of a Basic Plot
12:36
Pass single array to Plot function
03:37
Line Properties
07:40
Legend
07:52
Customizing Plot elements
09:29
+ Bar Chart
3 lectures 25:48
Bar Chart
09:46
Clustered bar chart
07:09
Horizontal bar chart
08:53
+ Histogram
2 lectures 20:53
Frequency Distribution and Histogram
12:02
Plot a Histogram to analyze Airline On-time performance
08:51
+ Scatter Plot
3 lectures 24:40
Scatter Plot and correlation
07:05
Analysing the Iris dataset using Scatter Plots
05:55
Multidimensional Scatter Plot - 4D Scatter Plot
11:40
+ Subplots
5 lectures 42:37
Matplotlib's Interfaces
07:49
Creating subplots - subplot method
12:31
Create subplots - subplots method
04:37
Create subplots - add_axes method
04:03
Ticks customization
13:37
+ Animation
3 lectures 30:24
Animation
15:02
Save animations
10:07
Live data
05:15