fix for quantization error with fractional step #247
Merged
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Ref. test breakage in observablehq/plot@2551afa
The new quantization approach for binning was introducing some rounding error, resulting in values being put in the wrong adjacent bin. For example, if x = 1.64, x0 = 1.2, and step = -50 (a bin width of 0.02), then quantization would produce a value of (x0 - x) * step = (1.2 - 1.64) * -50 = 21.999999999999996. When this is floored to 21, the value 1.64 would be erroneously placed in the bin representing [1.62, 1.64) rather than [1.64, 1.66).
If we switch to (x0 * step - x * step), then we get (1.2 * -50 - 1.64 * -50) = 22, producing the correct result. I’m not totally sure that this fixes the binning in all cases, but I think it might?