victory-native
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A charting library for React Native with a focus on performance and customization.
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TypeScript
import { type ScaleLinear } from "d3-scale";
import type { AxisProps, NumericalFields, PrimitiveViewWindow, SidedNumber, TransformedData, InputFields, MaybeNumber, NonEmptyArray, YAxisPropsWithDefaults, XAxisPropsWithDefaults, AxisScales } from "../../types";
/**
* This is a fatty. Takes raw user input data, and transforms it into a format
* that's easier for us to consume. End result looks something like:
* {
* ix: [1, 2, 3], // input x values
* ox: [10, 20, 30], // canvas x values
* y: {
* high: { i: [3, 4, 5], o: [30, 40, 50] },
* low: { ... }
* }
* }
* This form allows us to easily e.g. do a binary search to find closest output x index
* and then map that into each of the other value lists.
*/
export declare const transformInputData: <RawData extends Record<string, unknown>, XK extends keyof InputFields<RawData>, YK extends keyof NumericalFields<RawData>>({ data: _data, xKey, yKeys, outputWindow, domain, domainPadding, xAxis, yAxes, viewport, labelRotate, axisScales, }: {
data: RawData[];
xKey: XK;
yKeys: YK[];
outputWindow: PrimitiveViewWindow;
axisOptions?: Partial<Omit<AxisProps<RawData, XK, YK>, "xScale" | "yScale">>[];
domain?: {
x?: [number] | [number, number];
y?: [number] | [number, number];
};
domainPadding?: SidedNumber;
xAxis: XAxisPropsWithDefaults<RawData, XK>;
yAxes: YAxisPropsWithDefaults<RawData, YK>[];
viewport?: {
x?: [number, number];
y?: [number, number];
};
labelRotate?: number;
axisScales?: AxisScales;
}) => TransformedData<RawData, XK, YK> & {
xScale: ScaleLinear<number, number>;
isNumericalData: boolean;
xTicksNormalized: number[];
yAxes: NonEmptyArray<{
yScale: ScaleLinear<number, number>;
yTicksNormalized: number[];
yData: Record<string, {
i: MaybeNumber[];
o: MaybeNumber[];
}>;
}>;
};