Value Scaling and Auto-sizing

Value Scaling

It is a common case that the chart size does not equal to the total number of values. Then the values have to be scaled to fit the chart size.

Change argument rounding_rule to set a preferred rounding rule when scaling. It accepts floor or ceil or nearest.

NOTE: When rounding_rule is ceil or nearest, sum of scaled values might be greater than chart size. If so, the blocks of last category would not be shown completely in the chart. Therefore, although nearest is the default rounding rule, floor is actually the most consistent rule as it avoids the block overflowing.

In the following example, values are scaled to 24, 23, 1 as block numbers with rounding_rule=floor.

plt.figure(
    FigureClass=Waffle,
    rows=5,
    columns=10,
    values=[48, 46, 3],
    rounding_rule='floor'
)

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Auto-sizing

If you would like to avoid values scaling, pass an integer to either one of rows or columns parameter only. Then the absolute number of values would be used as block number directly and the other parameter would be calculated automatically.

In the following example, we set rows=5, values=[48, 46, 3] and leave columns empty. Then the block numbers would be the same to values. Since the sum of values is 97, the column number has to be 20 to fit all blocks.

plt.figure(
    FigureClass=Waffle,
    rows=5,
    values=[48, 46, 3]
)