This is the code repository for Matplotlib-3.0-Cookbook, published by Packt.
Over 150 recipes to create highly detailed interactive visualizations using Python
Matplotlib provides a large library of customizable plots, along with a comprehensive set of backends. Matplotlib 3.0 Cookbook is your hands-on guide to exploring the world of Matplotlib, and covers the most effective plotting packages for Python 3.7.
This book covers the following exciting features:
- Develop simple to advanced data visualizations in Matplotlib
- Use the pyplot API to quickly develop and deploy different plots
- Use object-oriented APIs for maximum flexibility with the customization of figures
- Develop interactive plots with animation and widgets
- Use maps for geographical plotting
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
if (test expression)
{
Statement upon condition is true
}
Following is what you need for this book: The Matplotlib 3.0 Cookbook is for you if you are a data analyst, data scientist, or Python developer looking for quick recipes for a multitude of visualizations. This book is also for those who want to build variations of interactive visualizations.
With the following software and hardware list you can run all code files present in the book (Chapter 1-15).
| Chapter | Software required | OS required |
|---|---|---|
| 1 | Matplotlib 3.0.1, NumPy 1.15.1, pandas 0.23.4 | Windows 10 |
| 2 | Matplotib 3.0.1, Numpy 1.15.1, pandas 0.23.4, | |
| fix_yahoo_finance 0.0.22 | Windows 10 | |
| 3 | Matplotib 3.0.1, Numpy 1.15.1, | |
| pandas 0.23.4, basic_units | Windows 10 | |
| 4 | Matplotib 3.0.1, Numpy 1.15.1,pandas 0.23.4 | Windows 10 |
| 5 | Matplotib 3.0.1, Numpy 1.15.1, pandas 0.23.4, | |
| IPython 6.5.0 | Windows 10 | |
| 6 | Matplotib 3.0.1, Numpy 1.15.1, pandas 0.23.4, | |
| IPython 6.5.0, cycler 0.10.0, scipy 1.1.0, | ||
| geopandas 0.3.0 | Windows 10 | |
| 7 | Matplotib 3.0.1, Numpy 1.15.1, pandas 0.23.4, | |
| scipy 1.1.0 | Windows 10 | |
| 8 | Matplotib 3.0.1, Numpy 1.15.1,pandas 0.23.4 | Windows 10 |
| 9 | Matplotib 3.0.1, Numpy 1.15.1, pandas 0.23.4, | |
| FFmpeg 4.0.2 | Windows 10 | |
| 10 | Matplotib 3.0.1, Numpy 1.15.1, TKinter 8.6.8, | |
| WxPython 4.0.3, Qt5 5.9.2 | Windows 10 | |
| 11 | Matplotib 3.0.1, Numpy 1.15.1, pandas 0.23.4 | Windows 10 |
| 12 | Matplotib 3.0.1, Numpy 1.15.1, pandas 0.23.4 | Windows 10 |
| 13 | Matplotib 3.0.1, Numpy 1.15.1, pandas 0.23.4 | Windows 10 |
| 14 | Matplotib 3.0.1,Numpy 1.15.1, cartopy 0.16.0, | |
| geopandas 0.3.0, netCDF4 1.3.1 | Windows 10 | |
| 15 | Matplotib 3.0.1, Numpy 1.15.1, pandas 0.23.4, | |
| seaborn 0.9.0, scipy 1.1.0 | Windows 10 |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Srinivasa Rao Poladi has been in the IT services industry for over two decades, providing consulting and implementation services in data warehousing, business intelligence, and machine learning areas for global customers.
He has worked with Wipro Technologies for two decades and played key leadership roles in building large technology practices and growing them to multi-million $ business. He spoke at international conferences, published many blogs and white papers in the areas of big data, business intelligence, and analytics.
He is a co-founder of krtrimaIQ a consulting firm that provides cognitive solutions to create tomorrow's Intelligent Enterprises powered by automation, big data, machine learning, and deep learning.
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