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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
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.
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 ...
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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]
color: The color assigned to all the bars that are not individually assigned another color. color_1 : Changed to assign the color of a bar independently from the default set by the color parameter Name or reference value : For example, a given year (repeat for each bar you want to generate, up to 20).
There is an important difference, in that bar charts show the "original data" while histograms involve the idea of a preliminary grouping of data into "bins" and what is plotted as a bar chart is the counts or proportions corresponding to these bins.