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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.
A value is a label with a smaller font-size and that might be used to display a number that is represented by the bar.. This so-called value of the bar is displayed above the bar in a vertical bar chart, and to the right of the bar in a horizontal bar chart.
The table below shows the output from a template call (we'll call the template {{Conditional tables/example 1}}) with different values for {{{variable_foo}}}: Template call Result
This template returns the color for a given value in a range. It interpolates the colour between given min and max values and colors (if not specified, these are assumed to be white for the min and black for the max). It might be a good idea to use it with a template like {{Greater color contrast ratio}} to make sure the text is legible.
This example shows 70% (70 out of 100), but the template is flexible and can show any positive integer out of any (equal or larger) integer. The template is 100 pixels wide, so the results are rounded to 1%. To use this, copy the above and replace the values ("70" and "100" in the middle line) and the caption ("70% of women...") with your data.
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 ...
For example, nested tables (tables inside tables) should be separated into distinct tables when possible. Here is a more advanced example, showing some more options available for making up tables. Users can play with these settings in their own table to see what effect they have.
It interpolates the colour between given min and max values and colors (if not specified, these are assumed to be white for the min and black for the max). The font colour is turned black or white depending on the luminosity of the cell background. The background color is generated by the {{Value color}} template.