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  2. Template:Bar chart - Wikipedia

    en.wikipedia.org/wiki/Template:Bar_chart

    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 ...

  3. Wikipedia:Graphs and charts - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Graphs_and_charts

    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

  4. Help:Barchart - Wikipedia

    en.wikipedia.org/wiki/Help:Barchart

    The whole image is scaled by a command, e.g. "ImageSize=width:180 height:90", and using the keyword "bar" triggers the bar chart features. However, the {{ Bar chart }} can easily format a horizontal bar chart (scrolling down a page), with one or two or four columns of bars in a chart.

  5. Template:Bartable - Wikipedia

    en.wikipedia.org/wiki/Template:Bartable

    a factor multiplied by value to give the width of the bar in pixels. Use the same scale in every row, as otherwise the bar chart won’t be to scale! scale can be negative, in which case an additional column (for showing negative values) is created. See example below. height (default = "2ex") the height of the bar as a CSS measurement e.g. "1em ...

  6. Wikipedia : How to create charts for Wikipedia articles

    en.wikipedia.org/wiki/Wikipedia:How_to_create...

    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 simple SVG line plot with Matplotlib. Here is a minimal line plot (output image is shown on the right):

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