there are several viz types that can benefit from a built-in scale that is ordinal with respect to the number of datapoints and/or number of visible series.
grouped bars demo does its own scale math internally to distribute the bars correctly. it does a 2-level distribution -- first groups are spread based on number of datapoints and then then bars within those groups are spread based on number of series. this is done along x axis: https://leeoniya.github.io/uPlot/demos/multi-bars.html
it's time to internalize at least the scale math properly. dealing with these bits externally is a huge headache.
the scale settings need to account for both spacing and sizing along series and/or values counts. it will follow the css justify-content distributed alignment:
/* Distributed alignment */
justify-content: space-between; /* Distribute items evenly
The first item is flush with the start,
the last is flush with the end */
justify-content: space-around; /* Distribute items evenly
Start and end gaps are half the size of the space
between each item */
justify-content: space-evenly; /* Distribute items evenly
Start, in-between, and end gaps have equal sizes */
this scale type will likely not be zoom-able. the scale.range function will be force-set to an appropriate calc function which allows integer index positions to land at the correct pixels. there will need to be a new api for these scales that accepts series index, value index, and whether to return left, center, or right positions of an item.
series visibility toggle will need to internally re-distribute these scales and be able to skip the disabled series in the apis while maintaining index associativity.
do something sensible for the axes tick labels
this is a significant undertaking that will likely touch 70% of the codebase. with many unknowns still...
there are several viz types that can benefit from a built-in scale that is ordinal with respect to the number of datapoints and/or number of visible series.
grouped bars demo does its own scale math internally to distribute the bars correctly. it does a 2-level distribution -- first groups are spread based on number of datapoints and then then bars within those groups are spread based on number of series. this is done along x axis: https://leeoniya.github.io/uPlot/demos/multi-bars.html
state timeline and status history distribute lanes along y axis based on number of series. the y "values" represent the color, so it's pretty weird: https://leeoniya.github.io/uPlot/demos/timeline-discrete.html
it's time to internalize at least the scale math properly. dealing with these bits externally is a huge headache.
justify-contentdistributed alignment:scale.rangefunction will be force-set to an appropriate calc function which allows integer index positions to land at the correct pixels. there will need to be a new api for these scales that accepts series index, value index, and whether to return left, center, or right positions of an item.this is a significant undertaking that will likely touch 70% of the codebase. with many unknowns still...