Ashwin Pajankar 
Hands-on Matplotlib [PDF ebook] 
Learn Plotting and Visualizations with Python 3

Learn the core aspects of Num Py, Matplotlib, and Pandas, and use them to write programs with Python 3. This book focuses heavily on various data visualization techniques and will help you acquire expert-level knowledge of working with Matplotlib, a MATLAB-style plotting library for Python programming language that provides an object-oriented API for embedding plots into applications. 

You’ll begin with an introduction to Python 3 and the scientific Python ecosystem. Next, you’ll explore Num Py and ndarray data structures, creation routines, and data visualization. You’ll examine useful concepts related to style sheets, legends, and layouts, followed by line, bar, and scatter plots. Chapters then cover recipes of histograms, contours, streamplots, and heatmaps, and how to visualize images and audio with pie and polar charts. 

Moving forward, you’ll learn how to visualize with pcolor, pcolormesh, and colorbar, and how to visualize in 3D in Matplotlib, create simple animations, and embed Matplotlib with different frameworks. The concluding chapters cover how to visualize data with Pandas and Matplotlib, Seaborn, and how to work with the real-life data and visualize it. After reading
Hands-on Matplotlib you’ll be proficient with Matplotlib and able to comfortably work with ndarrays in Num Py and data frames in Pandas. 

What You’ll Learn

• Understand Data Visualization and Python using Matplotlib
  




• Review the fundamental data structures in Num Py and Pandas 
  




• Work with 3D plotting, visualizations, and animations
  




• Visualize images and audio data
  

Who This Book Is For

Data scientists, machine learning engineers and software professionals with basic programming skills.

Tabla de materias

Sobre el autor