Python Matplotlib Crash Course for Data Visualization

Welcome to the Matplotlib Crash Course by Studyopedia.

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

Who this course is for:

• Gain a deep understanding of Python Matplotlib
• Python Libraries Beginners
• Get started with Matplotlib
• Those who want to learn Matplotlib by doing. This course includes 50+ hands-on exercises

Course Lessons

• Matplotlib - Introduction & Features
• Install & Setup 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

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