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Python Matplotlib

Unlock the potential of your data with our complimentary course on Matplotlib in Python! Enroll now and transform your data into visually stunning insights!

Instructor:

Mr. Bharani Akella
4.49
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Ratings

Beginner

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1.5 Hrs

Learning hours

10.1K+
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About this Free Certificate Course

In this free Python Matplotlib course, you will learn about how you can use multiple types of plots and operations based on them.

Matplotlib is a popular and most commonly used Python package that works with data visualizations. It is a cross-platform library to work with creating multiple plots using data that are present in the form of arrays. 

Matplotlib is designed in Python and uses a numerical mathematics extension of Python, NumPy. Ample amount of examples are provided to help you have full clarity on how you can work on and understand fully how these visualizations work.

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Course Outline

Line Plot

The objective of this module is to impart an understanding of line plots and the process of creating them.

Scatter Plot

The aim of this module is to elaborate on scatter plots, including the procedure for creating them and the ways they are utilized to analyze the relationship between two numerical data points.

Bar Plot and Horizontal Bar Plot

The emphasis of this module is on bar plots and horizontal plots, including the steps involved in creating them.

Histogram and Box Plot

The purpose of this module is to elaborate on the histogram and box plot. A histogram provides insights into the distribution of a continuous numerical data column, while a box plot presents a five number summary.

Violin Plot, Pie Chart and Donut Chart

The focus of this module is on the violin plot, as well as charts like pie charts and donut charts and the process of creating them.

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Our course instructor

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Mr. Bharani Akella

Data Scientist

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3.2M+ Learners
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82 Courses
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

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What our learners say about the course

Find out how our platform helped our learners to upskill in their career.

4.49
Course Rating
67%
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6%
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What our learners enjoyed the most

Ratings & Reviews of this Course

Reviewer Profile
Saida Iusupova

5.0

“I Really Enjoyed the Course and How It Was Structured”
I really enjoyed the course and how it was structured, as it provided clear, engaging content and practical applications throughout.
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Vishal Randhawa

5.0

“Great Course with Valuable Content”
I really enjoyed the curriculum and the quizzes. The content is well-structured and easy to follow, making learning enjoyable.
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HANEESHA THASNI N

5.0

“Matplotlib is a Powerful Tool to Visualize Data”
After completing this course, I have successfully learned how to visualize data. Your curriculum and topic depth were instrumental in achieving this. Quizzes and assignments were very helpful for me.
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SWAROOP KUMAR

4.0

“Introduction to Matplotlib for Beginners”
This course provides a solid foundation in Matplotlib, perfect for beginners. It covers essential concepts of data visualization with clear examples and step-by-step instructions. The practical exercises make learning engaging and effective. Highly recommended for anyone new to Python plotting. Topics like scatter plot, bar plot, donut chart, and pie chart were explained so easily. I'm glad to have taken this course.
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Yacine Kouta

4.0

“Mastering Data Visualization with Matplotlib: A Journey through Stunning Plots”
I enjoyed the versatility and flexibility of Matplotlib, which allows for the creation of a wide range of plots, from simple line graphs to complex heatmaps and violin plots. The ability to customize every aspect of a plot, including colors, markers, and line styles, made it easy to create visually appealing and informative graphics.
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MOUNIKA SHREE N G

5.0

“The Video Quality and Concepts Are Beginner Friendly”
The pictorial representations and easy-to-follow explanations together made a joyful learning experience.
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Nandhana Santhosh

5.0

“I Appreciated the Flexibility of the Course”
Thank you for the opportunity to provide feedback. I found the course valuable and look forward to implementing what I’ve learned.
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Hemapriya Radhakrishnan

5.0

“Easy to Follow and Informative Slides”
It was very useful. Thank you for all your work and teaching.
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Python Matplotlib

1.5 Learning Hours . Beginner

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Frequently Asked Questions

What is Matplotlib Pyplot in Python?

Matplotlib.pyplot is a collection of functions in Python. Pyplot in Python makes matplotlib work like MATLAB. Each of these functions changes a figure, like creating a figure, creating a plotting area in the figure, plotting a few lines in a plotting area, decorating the plot with labels, etc.

How do I run Matplotlib in Python?

To run Matplotlib, you first need to install it :

  • Install Matplotlib along with pip. It can be installed using the Python package manager, pip. Open a terminal window and enter: pip install Matplotlib, to install Matplotlib with pip. 
  • Install Matplotlib along with Anaconda Prompt since they can be installed together. 

Why is Matplotlib used in Python?

Matplotlib is Python programming’s plotting library and its numerical mathematics extension NumPy. It supports object-oriented API for embedding plots into the applications through general-purpose GUI toolkits such as Tkinter, wxPython, Qt, or GTK. 

Will I get a certificate after completing this Python Matplotlib free course?

Yes, you will get a certificate of completion for Python Matplotlib after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
 

How much does this Python Matplotlib course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Python Matplotlib can get started with this course.
 

Is there any limit on how many times I can take this free course?

Once you enroll in the Python Matplotlib course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
 

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Python Matplotlib course?

Great Learning Academy provides this Python Matplotlib course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts.

Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Python Matplotlib course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.
 

Will I have lifetime access to this free Python Matplotlib course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to. 
 

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Python Matplotlib Library

Matplotlib library in Python is a low-level graph plotting tool that serves as a visualization utility. It is an open-source library and can be used for free. The major part of the tool is written in Python. A few pieces are written in C, Objective-C, and JavaScript to support platform compatibility. 

The Matplotlib is a library used to plot points, lines, and others for Python programming language and the numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications through general-purpose GUI toolkits, such as Tkinter, wxPython, Qt, or GTK. Pylab is a procedural interface based on state machines such as OpenGL, structured closely resembling MATLAB, although it is highly discouraged. Matplotib is used in SciPy. 

John D. designed Matplotib. It is a NumFOCUS fiscally sponsored developed project. It is distributed under a BSD-style license and has an active development community. 

Matplotlib 2.0.x is supported by Python versions 2.7 by 3.10. Matplotlib 1.2 has been supported by Python 3 from its start. Python 2.6 is supported by Matplotlib 1.4 for its latest version.

Matplotlib Comparison with MATLAB

Matplotlib’s module, Pyplot, provides a MATLAB kind of interface. It is designed to work like MATLAB, along with the ability to use Python. The better advantage is that it is open-source and can be used for free. 

ToolKits

There are several toolkits available to extend Matplotlib functionality. A few are downloaded separately, while the others are available along with the Matplotlib source code, but they have external dependencies. 

  • Basemap: Basemap is a map plotting with different map projections, coastlines, and political boundaries. 
  • Cartopy: Cartopy is a mapping library that features object-oriented map projection definitions and arbitrary point, line, polygon. It also has image transformation capabilities. 
  • Excel Tools: Excel tools contains the utilities required for data exchange with Microsoft Excel. 
  • GTK Tools: GTK tools provide an interface to the GTK library. 
  • Qt interface
  • Mplot3d: It is used to draw 3-D plots. 
  • Natgrid: Natgrid is an interface to the library to grind irregularly spaced data. 
  • Matplotlib2tikz: This helps in exporting to Pgfplots for easy integration into LaTex documents. 
  • Seaborn: Seaborn provides an API on top of the Matplotlib. It offers reasonable choices for the elements, such as plot style and color defaults, defines simple high-level functions for general statistical plot types, and integrates with Pandas' functionality. 

Matplotlib Related Projects:

  • Biggles
  • Chaco
  • DISLIN
  • GNU Octave
  • Gnuplot-py
  • PLplot - It is a Python binding.
  • PyCha - It is a libcairo implementation.
  • PyPlotter - It is compatible with Jython.
  • SageMath - It uses Matplotlib to draw the plots.
  • SciPy - Modules plt and gplt
  • wxPython - Module wx.lib.plot.py
  • Plotly - It is used for interactive, online Matplotlib and Python graphs.
  • Bokeh - It is a Python interactive visualization library that targets non-traditional web browsers for presentation. 

Great Learning provides its learners with an opportunity to learn the Python Matplotlib course for free online. This tutorial will take you across the various subjects related to the Matplotlib used for Python programming, such as single lines, multiple lines, charts, graphs, style and code, and various other things. At the end of the Python Matplotlib course, you will be able to work efficiently with all the elements in the library, use its tools to build efficient applications. Enroll in Great Learning today to learn the Python Matplotlib course for free with millions of learners across the globe. Happy Learning!

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