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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.
It also lets you replace non-free and placeholder images. Review the lists of places that have free or public domain images, to see if one seems like a good candidate for what you're looking for. See the pages Wikipedia:Free image resources (shortcut: WP:FIR) and Wikipedia:Public domain image resources (shortcut: WP:PDIR).
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.
The template offers complex formatting and labeling options to control the output. Typically, each use is made into its own template, and the template is then transcluded into the article. See an example here, and an example of it being used in an article here. The use of fixed images, such as File:Narnia Timeline.svg, was common in the past ...
To make your uploaded file appear in an article, you need to insert it: edit the article and add the syntax [[File:Image name|thumb|Caption]] where you want the file to appear. Important: Image names are case-sensitive. For example, if an image is called Picture.jpg then neither picture.jpg nor Picture.JPG will find it.
Alternate text is optional but recommended. See Alternate text for images for hints on writing good alternate text. To have some text to the left of an image, and then some more text below the image, then put in a single <br clear="all">. This will force following text down until the margins are free of floating images.
Find and select the file or image you'd like to attach. Click Open. The file or image will be attached below the body of the email. If you'd like to insert an image directly into the body of an email, check out the steps in the "Insert images into an email" section of this article.
Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7. [3]