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IT & Software Other IT & Software Matplotlib

Matplotlib Tutorial

Plotting using Python's visualization tool
Rating: 4.4 out of 54.4 (112 ratings)
22,111 students
Created by Ajay Tech
Last updated 1/2020
English
English [Auto]
30-Day Money-Back Guarantee

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

8 sections • 23 lectures • 3h 33m total length

  • Preview15:59

  • 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
    09:46
  • Clustered bar chart
    07:09
  • Horizontal bar chart
    08:53

  • Pie Chart
    12:02

  • Frequency Distribution and Histogram
    12:02
  • Plot a Histogram to analyze Airline On-time performance
    08:51

  • Scatter Plot and correlation
    07:05
  • Analysing the Iris dataset using Scatter Plots
    05:55
  • Multidimensional Scatter Plot - 4D Scatter Plot
    11:40

  • 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
    15:02
  • Save animations
    10:07
  • Live data
    05:15

Instructor

Ajay Tech
Data Science and Machine Learning for everybody
Ajay Tech
  • 4.1 Instructor Rating
  • 5,530 Reviews
  • 218,158 Students
  • 7 Courses

Ajay Tech is an IT Training company, focused on Data Science, Machine Learning, Deep Learning and Artificial Intelligence. Ease of learning is our key focus. So, all our courses are tailored specifically for beginners.

Although Python is the main programming language we use to instruct these courses, there are some R versions as well. Visit us on our website for written tutorials and course content.


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