Given a value from the domain, returns the corresponding value from the range, subject to interpolation, if any.
If the given value is outside the domain, and clamping is not enabled, the mapping may be extrapolated such that the returned value is outside the range.
Note: The interpolation function applied by the scale may change the output type from the range type as part of the interpolation.
A numeric value from the domain.
Returns whether or not the scale currently clamps values to within the range.
Enables or disables clamping, respectively. If clamping is disabled and the scale is passed a value outside the domain, the scale may return a value outside the range through extrapolation.
If clamping is enabled, the return value of the scale is always within the scale’s range. Clamping similarly applies to the "invert" method.
A flag to enable (true) or disable (false) clamping.
Returns the current constant, which defaults to 1.
Sets the symlog constant to the specified number and returns this scale; otherwise returns the current value of the symlog constant, which defaults to 1. See “A bi-symmetric log transformation for wide-range data” by Webber for more.
Returns an exact copy of this scale. Changes to this scale will not affect the returned scale, and vice versa.
Returns a copy of the scale’s current domain.
Sets the scale’s domain to the specified array of numbers. The array must contain two or more elements. If the elements in the given array are not numbers, they will be coerced to numbers
Although continuous scales typically have two values each in their domain and range, specifying more than two values produces a piecewise scale.
Internally, a piecewise scale performs a binary search for the range interpolator corresponding to the given domain value. Thus, the domain must be in ascending or descending order. If the domain and range have different lengths N and M, only the first min(N,M) elements in each are observed.
Array of numeric domain values.
Given a value from the range, returns the corresponding value from the domain. Inversion is useful for interaction, say to determine the data value corresponding to the position of the mouse.
If the given value is outside the range, and clamping is not enabled, the mapping may be extrapolated such that the returned value is outside the domain.
IMPORTANT: This method is only supported if the range is numeric. If the range is not numeric, returns NaN.
For a valid value y in the range, continuous(continuous.invert(y)) approximately equals y; similarly, for a valid value x in the domain, continuous.invert(continuous(x)) approximately equals x. The scale and its inverse may not be exact due to the limitations of floating point precision.
A numeric value from the range.
Extends the domain so that it starts and ends on nice round values. This method typically modifies the scale’s domain, and may only extend the bounds to the nearest round value. An optional tick count argument allows greater control over the step size used to extend the bounds, guaranteeing that the returned ticks will exactly cover the domain. Nicing is useful if the domain is computed from data, say using extent, and may be irregular. For example, for a domain of [0.201479…, 0.996679…], a nice domain might be [0.2, 1.0]. If the domain has more than two values, nicing the domain only affects the first and last value.
Nicing a scale only modifies the current domain; it does not automatically nice domains that are subsequently set using continuous.domain. You must re-nice the scale after setting the new domain, if desired.
Optional count: numberAn optional number of ticks expected to be used.
Returns a copy of the scale’s current range.
Sets the scale’s range to the specified array of values.
The array must contain two or more elements. Unlike the domain, elements in the given array need not be numbers; any value that is supported by the underlying interpolator will work, though note that numeric ranges are required for invert.
Array of range values.
Sets the scale’s range to the specified array of values while also setting the scale’s interpolator to interpolateRound.
The rounding interpolator is sometimes useful for avoiding antialiasing artifacts, though also consider the shape-rendering “crispEdges” styles. Note that this interpolator can only be used with numeric ranges.
The array must contain two or more elements. Unlike the domain, elements in the given array need not be numbers; any value that is supported by the underlying interpolator will work, though note that numeric ranges are required for invert.
Array of range values.
Returns a number format function suitable for displaying a tick value, automatically computing the appropriate precision based on the fixed interval between tick values.
The specified count typically has the same value as the count that is used to generate the tick values. If there are too many ticks, the formatter may return the empty string for some of the tick labels; however, note that the ticks are still shown. To disable filtering, specify a count of Infinity. When specifying a count, you may also provide a format specifier or format function. For example, to get a tick formatter that will display 20 ticks of a currency, say log.tickFormat(20, "$,f"). If the specifier does not have a defined precision, the precision will be set automatically by the scale, returning the appropriate format. This provides a convenient way of specifying a format whose precision will be automatically set by the scale.
Optional count: numberApproximate number of ticks to be used when calculating precision for the number format function.
Optional specifier: stringAn optional valid format specifier string which allows a custom format where the precision of the format is automatically set by the scale as appropriate for the tick interval. For example, to get a tick formatter that will display 20 ticks of a currency, say log.tickFormat(20, "$,f"). If the specifier does not have a defined precision, the precision will be set automatically by the scale, returning the appropriate format. This provides a convenient way of specifying a format whose precision will be automatically set by the scale.
Returns a number format function suitable for displaying a tick value, automatically computing the appropriate precision based on the fixed interval between tick values.
The specified count typically has the same value as the count that is used to generate the tick values. If there are too many ticks, the formatter may return the empty string for some of the tick labels; however, note that the ticks are still shown. To disable filtering, specify a count of Infinity. When specifying a count, you may also provide a format specifier or format function. For example, to get a tick formatter that will display 20 ticks of a currency, say log.tickFormat(20, "$,f"). If the specifier does not have a defined precision, the precision will be set automatically by the scale, returning the appropriate format. This provides a convenient way of specifying a format whose precision will be automatically set by the scale.
Returns approximately count representative values from the scale’s domain.
If count is not specified, it defaults to 10.
The returned tick values are uniformly spaced, have human-readable values (such as multiples of powers of 10), and are guaranteed to be within the extent of the domain. Ticks are often used to display reference lines, or tick marks, in conjunction with the visualized data. The specified count is only a hint; the scale may return more or fewer values depending on the domain. See also d3-array’s ticks.
Optional count: numberOptional approximate number of ticks to be returned. If count is not specified, it defaults to 10.
Returns the current unknown value, which defaults to undefined.
Sets the output value of the scale for undefined (or NaN) input values and returns this scale.
The output value of the scale for undefined (or NaN) input values.
A bi-symmetric log transformation for wide-range data by Webber scale defined over a numeric domain.
Continuous scales map a continuous, quantitative input domain to a continuous output range.
See “A bi-symmetric log transformation for wide-range data” by Webber for more
If the range is also numeric, the mapping may be inverted.
Note that the data types of the range and output of the scale must be compatible with the interpolator applied by the scale.
The first generic corresponds to the data type of the range elements.
The second generic corresponds to the data type of the output elements generated by the scale.
The third generic corresponds to the data type of the unknown value.
If range element and output element type differ, the interpolator factory used with the scale must match this behavior and convert the interpolated range element to a corresponding output element.