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Chart.js module for charting box and violin plots.Works only with Chart.js >= 2.8.0
Please note that this project has been archived and is no longer being maintained. There is an active forkhttps://github.com/sgratzl/chartjs-chart-boxplot and we will also contribute our future changes to it.
npm install --save chart.js chartjs-chart-box-and-violin-plot
seeSamples on Github
andCodePen
four new types:boxplot,horizontalBoxplot,violin, andhorizontalViolin.
/** * Limit decimal digits by an optional config option **/ tooltipDecimals?:number;
The boxplot element is calledboxandwhiskers. The basic options are from therectangle element. The violin element is calledviolin also based on therectangle element.
interfaceIBaseStyling{/** *@default see rectangle *@scriptable *@indexable */backgroundColor:string;/** *@default see rectangle *@scriptable *@indexable */borderColor:string;/** *@default null takes the current borderColor *@scriptable *@indexable */medianColor:string;/** *@default 1 *@scriptable *@indexable */borderWidth:number;/** * radius used to render outliers *@default 2 *@scriptable *@indexable */outlierRadius:number;/** *@default see rectangle.backgroundColor *@scriptable *@indexable */outlierColor:string;/** * to fill color below the median line of the box *@default see rectangle.lowerColor *@scriptable *@indexable */lowerColor:string;/** * radius used to render items *@default 0 so disabled *@scriptable *@indexable */itemRadius:number;/** * item style used to render items *@default circle */itemStyle:'circle'|'triangle'|'rect'|'rectRounded'|'rectRot'|'cross'|'crossRot'|'star'|'line'|'dash';/** * background color for items *@default see rectangle backgroundColor *@scriptable *@indexable */itemBackgroundColor:string;/** * border color for items *@default see rectangle backgroundColor *@scriptable *@indexable */itemBorderColor:string;/** * padding that is added around the bounding box when computing a mouse hit *@default 1 *@scriptable *@indexable */hitPadding:number;/** * hit radius for hit test of outliers *@default 4 *@scriptable *@indexable */outlierHitRadius:number;}interfaceIBoxPlotStylingextendsIBaseStyling{// no extra styling options}interfaceIViolinStylingextendsIBaseStyling{/** * number of sample points of the underlying KDE for creating the violin plot *@default 100 */points:number;}
In addition, two new scales were createdarrayLinear andarrayLogarithmic. They were needed to adapt to the required data structure.
BotharrayLinear andarrayLogarithmic support the two additional options to their regular counterparts:
interfaceIArrayLinearScale{ticks:{/** * statistic measure that should be used for computing the minimal data limit *@default 'min' */minStats:'min'|'q1'|'whiskerMin';/** * statistic measure that should be used for computing the maximal data limit *@default 'max' */maxStats:'max'|'q3'|'whiskerMax';/** * from the R doc: this determines how far the plot ‘whiskers’ extend out from * the box. If coef is positive, the whiskers extend to the most extreme data * point which is no more than coef times the length of the box away from the * box. A value of zero causes the whiskers to extend to the data extremes *@default 1.5 */coef:number;/** * the method to compute the quantiles. 7 and 'quantiles' refers to the type-7 method as used by R 'quantiles' method. 'hinges' and 'fivenum' refers to the method used by R 'boxplot.stats' method. *@default 7 */quantiles:7|'quantiles'|'hinges'|'fivenum'|((sortedArr:number[])=>{min:number,q1:number,median:number,q3:number,max:number});};}
Both types support that the data is given as an array of numbersnumber[]. The statistics will be automatically computed. In addition, specific summary data structures are supported:
interfaceIBaseItem{min:number;median:number;max:number;/** * values of the raw items used for rendering jittered background points */items?:number[];}interfaceIBoxPlotItemextendsIBaseItem{q1:number;q3:number;whiskerMin?:number;whiskerMax?:number;/** * list of box plot outlier values */outliers?:number[];}interfaceIKDESamplePoint{/** * sample value */v:number;/** * sample estimation */estimate:number;}interfaceIViolinItemextendsIBaseItem{/** * samples of the underlying KDE */coords:IKDESamplePoint[];}
Note: The statistics will be cached within the array. Thus, if you manipulate the array content without creating a new instance the changes won't be reflected in the stats. See alsoCodePen for a comparison.
In order to simplify the customization of the tooltips, two additional tooltip callback methods are available. Internally thelabel callback will call the correspondig callback depending on the type.
arr={options:{tooltips:{callbacks:{/** * custom callback for boxplot tooltips *@param item see label callback *@param data see label callback *@param stats {IBoxPlotItem} the stats of the hovered element *@param hoveredOutlierIndex {number} the hovered outlier index or -1 if none *@return {string} see label callback */boxplotLabel:function(item,data,stats,hoveredOutlierIndex){return'Custom tooltip';},/** * custom callback for violin tooltips *@param item see label callback *@param data see label callback *@param stats {IViolinItem} the stats of the hovered element *@return {string} see label callback */violinLabel:function(item,data,stats){return'Custom tooltip';},}}}}
npm installnpm run build
Here is an example project based on Angular CLI with Angular 7 dependencies:https://github.com/sluger/ng-chartjs-boxplot
The incomaptibility with Webpack 4, mjs and Angular CLI can be solved by importing the chartjs boxplot library via the.js build artifact:
import"chartjs-chart-box-and-violin-plot/build/Chart.BoxPlot.js";

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