@apio/timeframes

Timeframes

Library for dealing with timeseries data

Quickstart

Install through NPM

npm i @apio/timeframes

There are a few examples that you can check out in the examples directory.

TimeSeries

// Pass an array of points
// a point is a tuple [DateLike, PointValue]
// DateLike is value that can be passed to new Date()
// PointValue is any value, but preferably a number (to compute sums averages ecc)
const ts = new TimeSerie([["2022-01-01", 12],["2022-01-02", 13]])
const sum = ts.sum()
const avg = ts.avg()

TimeFrames

// Each item is a row
const rows = [
  {time: "2022-01-01", value1:10, value2:140},
  {time: "2022-01-02", value1:41}, // here value2 is null
  {time: "2022-01-03", value1:78, value2:301},
]
const ts = new TimeFrame(rows)
// column() extracts columns as timeseries
const total1 = ts.column("value1").sum()