This is the code repository for Data Visualization Recipes with Python and Matplotlib 3 [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
Work on real-world datasets and create amazing and appealing data visualizations with Matplotlib 3. Be confident to tackle problems real-world projects and use Matplotlib effectively for your data visualizations.
- Draw various kinds of plots using Matplotlib
- Visualize and gain insights into a real-world dataset via different chart types
- Use practical recipes to draw subplots, histograms, heat maps, box plots, and pie charts
- Customize plots and charts for data visualizations in an appealing way
- Build plots from the ground-up with scaffolding
- Manipulate plot, axes, and figures
- Build Matplotlib 3D graphs functionality to visualize data with multiple variables and dimensions
- Use wire framing techniques and plot complex data with Matplotlib 3
- Make your data visualizations animated and interactive
- Use Matplotlib 3’s animation and interactive capabilities to spice up your data visualizations
- Use real-world dataset of stocks to learn the techniques
- Troubleshoot both common and tricky data visualizations while creating plots with Matplotlib 3
To fully benefit from the coverage included in this course, you will need:
This course is for Python developers, data scientists, and data analysts who are familiar with Matplotlib and want to get better and enhance their skills to create effective and interactive data visualizations. Knowledge of Python and NumPy is assumed.
This course has the following software requirements:
Minimum Hardware Requirements
For successful completion of this course, students will require the computer systems with at least the following:
OS: Windows 7 or higher \ Mac OS X \ Linux (any modern flavor)
Processor: Intel \ AMD
Memory: 4GB
Storage: 50 GB Free Space on the HardDisk
Recommended Hardware Requirements For an optimal experience with hands-on labs and other practical activities, we recommend the following configuration:
OS: Windows 7 or higher \ Mac OS X \ Linux (any modern flavour)
Processor: Intel \ AMD
Memory: 4GB
Storage: 50 GB Free Space on the HardDiskflavor
Software Requirements
Operating system: Windows 7 or higher \ Mac OS X \ Linux (any modern flavor)
Browser: Chrome or Firefox
Atom IDE, Latest Version
Python 3.6 or higher with modules - Pandas, numpy, Matplotlib 3 installed
