Matplotlib Tutorial

Matplotlib Tutorial   Matplotlib is one of the most popular Python packages used for data visualization. It is a cross-platform library for making 2D plots from data in arrays. It provides an object-oriented API that helps in embedding plots in applications using Python GUI toolkits such as PyQt, WxPythonotTkinter. It can be used in Python and IPython shells, Jupyter notebook and web application servers also. This tutorial is designed for those learners who wish to acquire knowledge on the basics of data visualization. Matplotlib is written in Python and makes use of NumPy, the numerical mathematics extension of Python. We assume that the readers of this tutorial have basic knowledge of Python. *** Table of Contents: Introduction Environment Setup Anaconda distribution Jupyter Notebook Pyplot API Simple Plot PyLab module Object-oriented Interface Figure Class Axes Class Multiplots Subplots() Function Subplot2grid() Function Grids Formatting Axes Setting Limits Setting Ticks and Tick Labels Twin Axes Bar Plot Histogram Pie Chart Scatter Plot Contour Plot Quiver Plot Box Plot Violin Plot Three-dimensional Plotting 3D Contour Plot 3D Wireframe plot 3D Surface plot Working With Text Mathematical Expressions Working with Images Transforms