Matplotlib Course for Beginners
About Course
Welcome to the Matplotlib Course.
Matplotlib is an open-source plotting library developed by John D. Hunter. Create interactive visualizations in Python with Matplotlib. It is built on NumPy and is one of the most popular libraries for data visualization in Python.
In this tutorial, we will learn how to perform plotting with Python. Visualizations are far better than textual data. Using matplotlib, we can easily create graphs, histograms, bar graphs, etc.
Features
The following are the features of Matplotlib:
- Free and open-source Python library
- Load and plot the data easily
- Easily Make interactive figures that can zoom, pan, update.
- Export to various file formats, such as PNG, PDF, SVG, etc.
- Use third-party packages built on Matplotlib for plotting, animations, styles, etc.
- Create graphs easily, set legends, position titles, plot, etc. with Matplotlib
Course Lessons
- Matplotlib – Introduction
- Install & Matplotlib
- Matplotlib – PyPlot Submodule (Run first Matplotlib program)
- Matplotlib – Plotting
- Matplotlib – Add Grid Lines
- Matplotlib – Add Labels to a Plot
- Matplotlib – Plot Titles and Position them
- Matplotlib – Add a Legend in a Graph
- Matplotlib – Position Legends
- Matplotlib – Change the background color of the Legend
- Matplotlib – Change the font size of the Legend
- Matplotlib – Bar Graph
- Matplotlib – Pie Chart
- Matplotlib – Line Graph
- Matplotlib – Histogram
- Matplotlib – Scatter Plot
We have also provided Online Quizzes to polish your Matplotlib skills after completing the lessons.
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Course Content
Matplotlib – Introduction & Setup
Introduction & Features
02:25Install & Setup Matplotlib
11:49
Matplotlib – Plotting
Matplotlib – Grid
Matplotlib – Plot Settings
Matplotlib – Legends
Plotting – Data Visualization
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It balances theory with hands-on coding, ensuring learners can immediately apply concepts to real datasets.
By the end, students gain confidence in customizing plots and presenting insights with professional polish.