顺序尺度
🌐 Sequential scales
序列比例与线性比例相似,因为它们将连续的数值输入域映射到连续的输出范围。与线性比例不同,序列比例的输入域和输出范围始终只有两个元素,并且输出范围通常指定为插值器,而不是数值数组。序列比例通常用于颜色编码;另见d3-scale-chromatic。这些比例不提供invert和interpolate方法。序列比例还有对数、幂、符号对数和分位数变体。
🌐 Sequential scales are similar to linear scales in that they map a continuous, numeric input domain to a continuous output range. Unlike linear scales, the input domain and output range of a sequential scale always have exactly two elements, and the output range is typically specified as an interpolator rather than an array of values. Sequential scales are typically used for a color encoding; see also d3-scale-chromatic. These scales do not expose invert and interpolate methods. There are also log, pow, symlog, and quantile variants of sequential scales.
scaleSequential(domain,interpolator)
🌐 scaleSequential(domain, interpolator)
示例 · 来源 · 使用指定的域和插值器函数或数组构建一个新的顺序刻度。
const color = d3.scaleSequential([0, 100], d3.interpolateBlues);如果未指定 domain,则默认为 [0, 1]。
🌐 If domain is not specified, it defaults to [0, 1].
const color = d3.scaleSequential(d3.interpolateBlues);如果未指定 interpolator,则默认为恒等函数。
🌐 If interpolator is not specified, it defaults to the identity function.
const identity = d3.scaleSequential();当应用该缩放时,插值器将以通常在 [0, 1] 范围内的值被调用,其中 0 表示最小值,1 表示最大值。例如,要实现不明智的愤怒彩虹缩放(请改用 interpolateRainbow):
🌐 When the scale is applied, the interpolator will be invoked with a value typically in the range [0, 1], where 0 represents the minimum value and 1 represents the maximum value. For example, to implement the ill-advised angry rainbow scale (please use interpolateRainbow instead):
const rainbow = d3.scaleSequential((t) => d3.hsl(t * 360, 1, 0.5) + "");如果 interpolator 是一个数组,它表示比例的两个元素输出范围,并使用 interpolate 转换为插值函数。
🌐 If interpolator is an array, it represents the scale’s two-element output range and is converted to an interpolator function using interpolate.
const color = d3.scaleSequential(["red", "blue"]);顺序比例尺的域必须是数字,并且必须恰好包含两个值。
🌐 A sequential scale’s domain must be numeric and must contain exactly two values.
顺序.插值器(插值器)
🌐 sequential.interpolator(interpolator)
如果指定了 interpolator,则将比例的插值器设置为指定的函数。
🌐 If interpolator is specified, sets the scale’s interpolator to the specified function.
const color = d3.scaleSequential().interpolator(d3.interpolateBlues);如果未指定 interpolator,则返回比例当前的插值器。
🌐 If interpolator is not specified, returns the scale’s current interpolator.
color.interpolator() // d3.interpolateBlues顺序.范围(范围)
🌐 sequential.range(range)
请参见 linear.range。如果指定了 range,给定的两个元素数组将使用 interpolate 转换为插值函数。
🌐 See linear.range. If range is specified, the given two-element array is converted to an interpolator function using interpolate.
const color = d3.scaleSequential().range(["red", "blue"]);以上内容等同于:
🌐 The above is equivalent to:
const color = d3.scaleSequential(d3.interpolate("red", "blue"));sequential.rangeRound(range)
参见 linear.rangeRound。如果指定了 range,将隐式使用 interpolateRound 作为插值器。
🌐 See linear.rangeRound. If range is specified, implicitly uses interpolateRound as the interpolator.
scaleSequentialLog(domain, range)
返回一个具有对数变换的新顺序比例,类似于对数比例。
🌐 Returns a new sequential scale with a logarithmic transform, analogous to a log scale.
scaleSequentialPow(domain, range)
返回一个带有指数变换的新顺序比例,类似于幂比例。
🌐 Returns a new sequential scale with an exponential transform, analogous to a power scale.
scaleSequentialSqrt(domain, range)
返回一个具有平方根变换的新顺序比例,类似于 sqrt scale。
🌐 Returns a new sequential scale with a square-root transform, analogous to a sqrt scale.
scaleSequentialSymlog(domain, range)
返回一个具有对称对数变换的新顺序比例,类似于 symlog 比例。
🌐 Returns a new sequential scale with a symmetric logarithmic transform, analogous to a symlog scale.
scaleSequentialQuantile(domain, range)
来源 · 返回一个新的顺序比例尺,带有 p 分位数变换,类似于 分位数比例尺。
sequentialQuantile.quantiles(n)
来源 · 返回一个包含 n + 1 个分位数的数组。
const color = d3.scaleSequentialQuantile()
.domain(penguins.map((d) => d.body_mass_g))
.interpolator(d3.interpolateBlues);
color.quantiles(4); // [2700, 3550, 4050, 4750, 6300]例如,如果 n = 4,则返回一个包含五个数字的数组:最小值、第一个四分位数、中位数、第三个四分位数和最大值。
🌐 For example, if n = 4, returns an array of five numbers: the minimum value, the first quartile, the median, the third quartile, and the maximum.