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Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
Python and Matplotlib are cross-platform, and are therefore available for Windows, OS X, and the Unix-like operating systems like Linux and FreeBSD. Matplotlib can create plots in a variety of output formats, such as PNG and SVG. Matplotlib mainly does 2-D plots (such as line, contour, bar, scatter, etc.), but 3-D functionality is also available.
[2]: 117–120 Unlike PSTricks, PGF can thus directly produce either PostScript or PDF output, but it cannot use some of the more advanced PostScript programming features that PSTricks can use due to the "least common denominator" effect. [3] PGF/TikZ comes with an extensive documentation; the version 3.1.4a of the manual has over 1300 pages. [2]
The last version of Numeric (v24.2) was released on 11 November 2005, while the last version of numarray (v1.5.2) was released on 24 August 2006. [ 13 ] There was a desire to get Numeric into the Python standard library, but Guido van Rossum decided that the code was not maintainable in its state then.
IPE Graphics with LaTeX equations or notations can be stored as PDF files (not only exported to PDF) and be included in LaTeX documents. pdftoipe allows any PDF graph to be edited in Ipe. JFreeChart: GUI, Java, Groovy: LGPL: Yes 2000: November 5, 2017 / 1.5.0: Any : JMP: GUI, scripting: proprietary: No 1989: March 9, 2021 / 16.0: Mac, Windows
gnuplot is a command-line and GUI program that can generate two- and three-dimensional plots of functions, data, and data fits.The program runs on all major computers and operating systems (Linux, Unix, Microsoft Windows, macOS, FreeDOS, and many others). [3]
SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [2]) is a free and open-source Python library used for scientific computing and technical computing. [3]SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
Version 1.0 was released in 2001. In the following years, the library expanded only slowly; as the documentation stated, the maintainers were more interested in stability than in additional functionality. Major version 1 ended with release 1.16 of July 2013; this was the only public activity in the three years 2012–2014.