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The pandas package in Python implements this operation as "melt" function which converts a wide table to a narrow one. The process of converting a narrow table to wide table is generally referred to as "pivoting" in the context of data transformations.
A wide character refers to the size of the datatype in memory. It does not state how each value in a character set is defined. Those values are instead defined using character sets, with UCS and Unicode simply being two common character sets that encode more characters than an 8-bit wide numeric value (255 total) would allow.
Normally, copying and pasting columns or rows removes the inline CSS styling such as cell colors. There is a way to break up a table (a too-wide table for example) into more tables without losing all the background colors, and other inline styling. Copy the table to 2 sandboxes (or one sandbox, and in the article itself).
This is different from tables on webpages outside Wikipedia. Overall table widths (as opposed to max-widths) do not narrow on most pages outside Wikipedia. See max-width outside Wikipedia: CSS Height, Width and Max-width. Experiment with em and other width settings on another page outside Wikipedia: HTML Table Sizes.
Instead, the solution (to both) as autowidened tables, with column-spacers (and no column "width="), will avoid both extremes, of too-wide percent-width columns or too-narrow pixel-width columns, and will allow a table to auto-adjust to the user's screen size, or various text-size zoom views.
Interior designer Grace Kaage's 2-year-old son, Christian, drew all over her white couch. See how she responded to her toddler drawing on her white furniture.
The table above (even if some more columns are added) maintains one line per country for narrower browser and screen widths. So it is therefore more readable and scannable in long country tables. The table format below can greatly increase in number of lines, and require more vertical scrolling, especially if more columns are added.
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