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@apio/timeframes - npm Package Compare versions

Comparing version 0.1.19 to 0.1.21

2

build/main/lib/timeserie.js

@@ -386,3 +386,3 @@ "use strict";

TimeSerie.internals.combiners.div = (points) => points.reduce((a, b) => a / b, points[0] * points[0]);
TimeSerie.internals.combiners.avg = (points) => (TimeSerie.internals.combiners.sum(points) / points.length);
TimeSerie.internals.combiners.avg = (points) => (TimeSerie.internals.combiners.add(points) / points.length);
/**

@@ -389,0 +389,0 @@ * @class TimeseriesResampler

@@ -381,3 +381,3 @@ import { createIndex, TimeInterval } from './types';

TimeSerie.internals.combiners.div = (points) => points.reduce((a, b) => a / b, points[0] * points[0]);
TimeSerie.internals.combiners.avg = (points) => (TimeSerie.internals.combiners.sum(points) / points.length);
TimeSerie.internals.combiners.avg = (points) => (TimeSerie.internals.combiners.add(points) / points.length);
/**

@@ -384,0 +384,0 @@ * @class TimeseriesResampler

@@ -0,3 +1,7 @@

# 📦 0.1.2 (27 Oct 2022)
- [220df](https://github.com/fatmatto/timeframes/commit/220df6e85c90cbd893ecb87c3331295f472ede34) chore(release): 0.1.21
- [db466](https://github.com/fatmatto/timeframes/commit/db46625b9d8b07788a1872b1815864688c3fc366) 📦 Release 0.1.19 standard-version [skip ci]
# 📦 0.1.1 (24 Oct 2022)
- [770b5](https://github.com/fatmatto/timeframes/commit/770b58a8130e9e5c55bcb9cc46c3111c872e6321) chore(release): 0.1.19
- [ebd32](https://github.com/fatmatto/timeframes/commit/ebd3213ab99057f164f0c997f00023163127ee33) 📦 Release 0.1.17 standard-version [skip ci]
- [724e6](https://github.com/fatmatto/timeframes/commit/724e630b6db8932f92ba8a6fccbbf2a8e105b816) chore(release): 0.1.17

@@ -4,0 +8,0 @@ - [d20ba](https://github.com/fatmatto/timeframes/commit/d20ba6262105d6230b881452899ffa08f14082c7) 📦 Release 0.1.15 standard-version [skip ci]

{
"name": "@apio/timeframes",
"version": "0.1.19",
"version": "0.1.21",
"description": "Library for dealing with timeseries data",

@@ -5,0 +5,0 @@ "main": "build/main/index.js",

@@ -419,3 +419,3 @@ import { createIndex, DateLike, FromIndexOptions, Index, Metadata, Point, PointValue, ReindexOptions, ResampleOptions, TimeInterval, TimeseriePointCombiner, TimeseriePointIterator, TimeSeriesOperationOptions } from './types'

TimeSerie.internals.combiners.div = (points: PointValue[]) => points.reduce((a:PointValue, b:PointValue) => a / b, points[0] * points[0])
TimeSerie.internals.combiners.avg = (points: PointValue[]) => (TimeSerie.internals.combiners.sum(points) / points.length)
TimeSerie.internals.combiners.avg = (points: PointValue[]) => (TimeSerie.internals.combiners.add(points) / points.length)

@@ -422,0 +422,0 @@ /**

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