Python Matplotlib

Python Matplotlib Library

Matplotlib library in Python is a low-level graph plotting tool that serves as a visualization utility. It is an open-source library and can be used for free. The major part of the tool is written in Python. A few pieces are written in C, Objective-C, and JavaScript to support platform compatibility. 

The Matplotlib is a library used to plot points, lines, and others for Python programming language and the numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications through general-purpose GUI toolkits, such as Tkinter, wxPython, Qt, or GTK. Pylab is a procedural interface based on state machines such as OpenGL, structured closely resembling MATLAB, although it is highly discouraged. Matplotib is used in SciPy. 

John D. designed Matplotib. It is a NumFOCUS fiscally sponsored developed project. It is distributed under a BSD-style license and has an active development community. 

Matplotlib 2.0.x is supported by Python versions 2.7 by 3.10. Matplotlib 1.2 has been supported by Python 3 from its start. Python 2.6 is supported by Matplotlib 1.4 for its latest version.

Matplotlib Comparison with MATLAB

Matplotlib’s module, Pyplot, provides a MATLAB kind of interface. It is designed to work like MATLAB, along with the ability to use Python. The better advantage is that it is open-source and can be used for free. 

ToolKits

There are several toolkits available to extend Matplotlib functionality. A few are downloaded separately, while the others are available along with the Matplotlib source code, but they have external dependencies. 

• Basemap: Basemap is a map plotting with different map projections, coastlines, and political boundaries. 
• Cartopy: Cartopy is a mapping library that features object-oriented map projection definitions and arbitrary point, line, polygon. It also has image transformation capabilities. 
• Excel Tools: Excel tools contains the utilities required for data exchange with Microsoft Excel. 
• GTK Tools: GTK tools provide an interface to the GTK library. 
• Qt interface
• Mplot3d: It is used to draw 3-D plots. 
• Natgrid: Natgrid is an interface to the library to grind irregularly spaced data. 
• Matplotlib2tikz: This helps in exporting to Pgfplots for easy integration into LaTex documents. 
• Seaborn: Seaborn provides an API on top of the Matplotlib. It offers reasonable choices for the elements, such as plot style and color defaults, defines simple high-level functions for general statistical plot types, and integrates with Pandas' functionality. 

Matplotlib Related Projects:

• Biggles
• Chaco
• DISLIN
• GNU Octave
• Gnuplot-py
• PLplot - It is a Python binding.
• PyCha - It is a libcairo implementation.
• PyPlotter - It is compatible with Jython.
• SageMath - It uses Matplotlib to draw the plots.
• SciPy - Modules plt and gplt
• wxPython - Module wx.lib.plot.py
• Plotly - It is used for interactive, online Matplotlib and Python graphs.
• Bokeh - It is a Python interactive visualization library that targets non-traditional web browsers for presentation. 

Great Learning provides its learners with an opportunity to learn the Python Matplotlib course for free online. This tutorial will take you across the various subjects related to the Matplotlib used for Python programming, such as single lines, multiple lines, charts, graphs, style and code, and various other things. At the end of the Python Matplotlib course, you will be able to work efficiently with all the elements in the library, use its tools to build efficient applications. Enroll in Great Learning today to learn the Python Matplotlib course for free with millions of learners across the globe. Happy Learning!