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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.
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.
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).
This template creates a vertical bar chart for a set of data of your choosing, for example, charting population demographics of a location. Up to twenty graphical bars can be used along with specified colors. The graph's width is set by default, but can be changed, as well as the large and small scales.
Livegap Charts creates line, bar, spider, polar-area and pie charts, and can export them as images without needing to download any tools. Veusz is a free scientific graphing tool that can produce 2D and 3D plots. Users can use it as a module in Python. GeoGebra is open-source graphing calculator and is freely available for non-commercial users.
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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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