这是一个老问题,但最近我遇到了同样的问题,这是我的解决方案,可以概括:
const TICK_PRECISION = 2;
const AXIS_MAX_EXPAND_RATE = 1.2;
function setAxisTicks(axis, tickCount) {
// first you calc the max from the data, then multiply with 1.1 or 1.2
// which can expand the max a little, in order to leave some space from the bottom/top to the max value.
// toPrecision decide the significant number.
let maxDeviation = (Math.max(Math.abs(axis.dataMax), Math.abs(axis.dataMin)) * AXIS_MAX_EXPAND_RATE).toPrecision(TICK_PRECISION);
// in case it is not a whole number
let wholeMaxDeviation = maxDeviation * 10 ** TICK_PRECISION;
// halfCount will be the tick counts on each side of 0
let halfCount = Math.floor(tickCount / 2);
// look for the nearest larger number which can mod the halfCount
while (wholeMaxDeviation % halfCount != 0) {
wholeMaxDeviation++;
}
// calc the unit tick amount, remember to divide by the precision
let unitTick = (wholeMaxDeviation / halfCount) / 10 ** TICK_PRECISION;
// finally get all ticks
let tickPositions = [];
for (let i = -halfCount; i <= halfCount; i++) {
// there are problems with the precision when multiply a float, make sure no anything like 1.6666666667 in your result
let tick = parseFloat((unitTick * i).toFixed(TICK_PRECISION));
tickPositions.push(tick);
}
return tickPositions;
}
因此,在您的图表轴 tickPositioner 中,您可以添加:
tickPositioner: function () {
return setAxisTicks(this, 7);
},