Top 10 Examples of "data-forge in functional component" in JavaScript
Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'data-forge' in functional components in JavaScript. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.
function createDataFrame() {
// @formatter:off
return new DataFrame([
{high: 5663.99, low: 5639.25, open: 5658.11, close: 5647.88, volume: 0.67, timestamp: moment("2019-05-06T10:00:00.000Z")},
{high: 5660, low: 5608.04, open: 5627.37, close: 5658.11, volume: 10.623, timestamp: moment("2019-05-06T02:00:00.000Z")},
{high: 5638, low: 5613.12, open: 5621.01, close: 5627.3766, volume: 20, timestamp: moment("2019-05-06T01:00:00.000Z")},
]);
// @formatter:on
}}
const seriesPlotDefaults: IPlotConfig = {
legend: {
show: false,
},
};
function plotSeries(this: ISeries, plotConfig?: IPlotConfig, axisMap?: IAxisMap): IPlotAPI {
const serializedData = this
.inflate((value: any) => ({ __value__: value }))
.serialize();
return new PlotAPI(serializedData, plotConfig || {}, axisMap || {}, seriesPlotDefaults);
}
Series.prototype.startPlot = startPlot;
Series.prototype.endPlot = endPlot;
Series.prototype.plot = plotSeries;
//
// Augment IDataFrame and DataFrame with plot function.
//
declare module "data-forge/build/lib/dataframe" {
interface IDataFrame {
startPlot(): void;
endPlot(): void;
plot(plotDef?: IPlotConfig, axisMap?: IAxisMap): IPlotAPI;
}
interface DataFrame {
startPlot(): void;const seriesPlotDefaults: IPlotConfig = {
legend: {
show: false,
},
};
function plotSeries(this: ISeries, plotConfig?: IPlotConfig, axisMap?: IAxisMap): IPlotAPI {
const serializedData = this
.inflate((value: any) => ({ __value__: value }))
.serialize();
return new PlotAPI(serializedData, plotConfig || {}, axisMap || {}, seriesPlotDefaults);
}
Series.prototype.startPlot = startPlot;
Series.prototype.endPlot = endPlot;
Series.prototype.plot = plotSeries;
//
// Augment IDataFrame and DataFrame with plot function.
//
declare module "data-forge/build/lib/dataframe" {
interface IDataFrame {
startPlot(): void;
endPlot(): void;
plot(plotDef?: IPlotConfig, axisMap?: IAxisMap): IPlotAPI;
}
interface DataFrame {
startPlot(): void;
endPlot(): void;const seriesPlotDefaults: IPlotConfig = {
legend: {
show: false,
},
};
function plotSeries(this: ISeries, plotConfig?: IPlotConfig, axisMap?: IAxisMap): IPlotAPI {
const serializedData = this
.inflate((value: any) => ({ __value__: value }))
.serialize();
return new PlotAPI(serializedData, plotConfig || {}, axisMap || {}, seriesPlotDefaults);
}
Series.prototype.startPlot = startPlot;
Series.prototype.endPlot = endPlot;
Series.prototype.plot = plotSeries;
//
// Augment IDataFrame and DataFrame with plot function.
//
declare module "data-forge/build/lib/dataframe" {
interface IDataFrame {
startPlot(): void;
endPlot(): void;
plot(plotDef?: IPlotConfig, axisMap?: IAxisMap): IPlotAPI;
}
interface DataFrame {
startPlot(): void;
endPlot(): void;let peakCapital = startingCapital;
let workingDrawdown = 0;
for (const trade of trades) {
workingCapital *= trade.growth;
if (workingCapital < peakCapital) {
workingDrawdown = workingCapital - peakCapital;
}
else {
peakCapital = workingCapital;
workingDrawdown = 0; // Reset at the peak.
}
drawdown.push(workingDrawdown);
}
return new Series(drawdown);
}function ema(this: ISeries, period: number): ISeries {
assert.isNumber(period, "Expected 'period' parameter to 'Series.ema' to be a number that specifies the time period of the moving average.");
// https://www.investopedia.com/ask/answers/122314/what-exponential-moving-average-ema-formula-and-how-ema-calculated.asp
const mult = (2 / (period + 1));
let avgValue = this.take(period).average(); //TODO: this destroy the index.
return new Series({
index: [ this.getIndex().skip(period-1).first() ], // TODO: The construction of this 1 elements series is quite awkward.
values: [ avgValue ],
})
.concat(
this.skip(period)
.select(value => {
avgValue = ((value - avgValue) * mult) + avgValue;
return avgValue;
})
.bake()
);
}async function main(): Promise {
const df = new DataFrame({
columns: {
versicolor_x: versicolor_x,
versicolor_y: versicolor_y,
setosa_x: setosa_x,
setosa_y: setosa_y,
},
});
//console.log(df.head(10).toString());
const plot = df.plot()
.chartType(ChartType.Scatter)
.y()
.addSeries("versicolor_y")
.label("Versicolor")
//todo: .color("blue")async function main(): Promise {
const df = new DataFrame({
columns: {
versicolor_x: versicolor_x,
versicolor_y: versicolor_y,
},
});
//console.log(df.toString());
const plot = df.plot({ chartType: ChartType.Scatter }, { x: "versicolor_x", y: "versicolor_y" });
await plot.renderImage(path.join(outputPath, "image.png"), { openImage: false });
await plot.exportWeb(path.join(outputPath, "web"), { overwrite: true, openBrowser: false });
}async function main(): Promise {
const df = new DataFrame({
columns: {
date: x,
data1: data1,
data2: data2
},
})
.parseDates("date", "YYYY-MM-DD");
//console.log(df.toString());
const plot = df.plot({}, { x: "date", y: [ "data1", "data2" ]});
await plot.renderImage(path.join(outputPath, "image.png"), { openImage: false });
await plot.exportWeb(path.join(outputPath, "web"), { overwrite: true, openBrowser: false });
}async function main(): Promise {
const df = new DataFrame({
columns: {
data1: data1,
data2: data2,
data3: data3,
},
});
//console.log(df.toString());
const plot = df.plot()
.chartType(ChartType.Bar);
await plot.renderImage(path.join(outputPath, "image.png"), { openImage: false });
await plot.exportWeb(path.join(outputPath, "web"), { overwrite: true, openBrowser: false });
}