grafana/public/app/plugins/panel/graph/histogram.ts
kay delaney bad048b7ba
Performance: Standardize lodash imports to use destructured members (#33040)
* Performance: Standardize lodash imports to use destructured members
Changes lodash imports of the form `import x from 'lodash/x'` to
`import { x } from 'lodash'` to reduce bundle size.

* Remove unnecessary _ import from Graph component

* Enforce lodash import style

* Fix remaining lodash imports
2021-04-21 09:38:00 +02:00

73 lines
1.9 KiB
TypeScript

import TimeSeries from 'app/core/time_series2';
import { histogram } from 'd3';
/**
* Convert series into array of series values.
* @param data Array of series
*/
export function getSeriesValues(dataList: TimeSeries[]): number[] {
const VALUE_INDEX = 0;
const values = [];
// Count histogam stats
for (let i = 0; i < dataList.length; i++) {
const series = dataList[i];
const datapoints = series.datapoints;
for (let j = 0; j < datapoints.length; j++) {
if (datapoints[j][VALUE_INDEX] !== null) {
values.push(datapoints[j][VALUE_INDEX]);
}
}
}
return values;
}
/**
* Convert array of values into timeseries-like histogram:
* [[val_1, count_1], [val_2, count_2], ..., [val_n, count_n]]
* @param values
* @param bucketSize
*/
export function convertValuesToHistogram(values: number[], bucketSize: number, min: number, max: number): any[] {
const minBound = getBucketBound(min, bucketSize);
const maxBound = getBucketBound(max, bucketSize);
const histGenerator = histogram()
.domain([minBound, maxBound])
.thresholds(Math.round(max - min) / bucketSize);
return histGenerator(values).map((bin) => {
return [bin.x0, bin.length];
});
}
/**
* Convert series into array of histogram data.
* @param data Array of series
* @param bucketSize
*/
export function convertToHistogramData(
data: any,
bucketSize: number,
hiddenSeries: any,
min: number,
max: number
): any[] {
return data.map((series: any) => {
const values = getSeriesValues([series]);
series.histogram = true;
if (!hiddenSeries[series.alias]) {
const histogram = convertValuesToHistogram(values, bucketSize, min, max);
series.data = histogram;
} else {
series.data = [];
}
return series;
});
}
function getBucketBound(value: number, bucketSize: number): number {
return Math.floor(value / bucketSize) * bucketSize;
}