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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.
Module:Chart creates bar and pie charts on Wikipedia without need for external tools; Many spreadsheet, drawing, and desktop publishing programs allow you to create graphs and export them as images. gnuplot can produce a wide variety of charts and graphs; see samples with source code at Commons. In Python using matplotlib
Matplotlib-animation [11] capabilities are intended for visualizing how certain data changes. However, one can use the functionality in any way required. These animations are defined as a function of frame number (or time). In other words, one defines a function that takes a frame number as input and defines/updates the matplotlib-figure based ...
The width of bars is set by "PlotData=width:20". The color of any bar can be set by appending the keyword "color:" (such as "color:lightgrey") at the end of each bar's numeric data. For other optional parameters see § Bar chart commands and attributes, or full list at Help:Timeline.
Each bar can also have a comment, such as "comment7=xx" to show "(xx)" after the number in bar 7. For a 2-column bar chart, the 2nd column items have prefix "col2_" such as scale maximum, col2_data_max=110, and col2_data3=67 with col2_comment3=zz. See below: "Example with two data columns". Each bar chart can be formatted typically within 1/5 ...
A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally. A vertical bar chart is sometimes called a column chart and has been identified as the prototype of charts. [1]
To use a colour in a template or table you can use the hex triplet (e.g. #CD7F32 is bronze) or HTML color name (e.g. red).. Editors are encouraged to make use of tools, such as Color Brewer 2 to create Brewer palettes, listed at MOS:COLOR for color scheme selection used in graphical charts, maps, tables, and webpages with accessibility in mind for color-blind and visually impaired users.
The chart can contain any number of bars. There are four types: Percentage bar {{bar percent|row label|colour|value (width in percents)|optional value label}}