You'll begin with an introduction to Python 3 and the scientific Python ecosystem. Next, you'll explore NumPy 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 Descriptions. Chapters then cover recipes of histograms, contours, streamDescriptions, 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 MatDescriptionlib, create simple animations, and embed MatDescriptionlib with different frameworks. The concluding chapters cover how to visualize data with Pandas and MatDescriptionlib, Seaborn, and how to work with the real-life data and visualize it. After readingHands-on MatDescriptionlibyou'll be proficient with MatDescriptionlib and able to comfortably work with ndarrays in NumPy and data frames in Pandas.
What You'll LearnUnderstand Data Visualization and Python using MatDescriptionlib
Review the fundamental data structures in NumPy and Pandas
Work with 3D Descriptionting, visualizations, and animations
Visualize images and audio data
Who This Book Is ForData scientists, machine learning engineers and software professionalswith basic programming skills.