Overview
Welcome to SkySpark's Signal Analysis Extension!
zivaFourier(hisGrid, filter: x => x, theChartType: "bar")
Plot duration vs frequency
- Works on booleans or lambdas of other kinds such as numerics
- Must only have 2 states (forced by lambdas)
- Only works on a single ts and a single v0 column
- Side Effects: None
- Input: ts, v0 grid
- Output: Transmuted history grid of ts, v0 columns
- Filter used appears in col meta data
read(cool).hisRead(2016-07).zivaFourier
read(temp and discharge).hisRead(2016-07).zivaFourier(x => x > 70, "scatter")
zivaHisDurPlot(hisGrid, delta: 0%, dur: 16min, theChartType: "scatter")
Plot duration bucket vs frequency
- Percentage and Duration thresholds determined manually or automatically
- Supports a true History Grid with multiple V columns
- Side Effects: Data interpolated, multiple histories that do not start and/or end around same time will result in leading and trailing 0s
- leading and trailing 0s and length of entire window will affect results in auto mode
- Input: ts, val*n grid where val*n can be multiple V columns with only numbers
- Output: Transmuted history grid of ts, V*n columns
- delta and dur used appear in column meta data
read(temp and discharge).hisRead(yesterday).zivaHisDurPlot
read(temp and discharge).hisRead(yesterday).zivaHisDurPlot(50%, 16min, "bar")
readAll(temp and discharge).hisRead(yesterday).zivaHisDurPlot
readAll(temp and discharge).hisRead(yesterday).zivaHisDurPlot(50%, 16min)
zivaHisNoiseFilter(hisGrid, delta: 0%, dur: 16min)
Remove low duration events
- Percentage and Duration thresholds determined manually or automatically
- Supports a true History Grid with multiple V columns
- Side Effects: Data interpolated, multiple histories that do not start and/or end around same time will result in leading and trailing 0s
- leading and trailing 0s and length of entire window will affect results in auto mode
- Input: ts, val*n grid where val*n can be multiple V columns with only numbers
- Output: Transmuted history grid of ts, V*n columns
- delta and dur used appear in column meta data
read(temp and discharge).hisRead(yesterday).zivaHisNoiseFilter
read(temp and discharge).hisRead(yesterday).zivaHisNoiseFilter(50%, 16min)
readAll(temp and discharge).hisRead(yesterday).zivaHisNoiseFilter
readAll(temp and discharge).hisRead(yesterday).zivaHisNoiseFilter(50%, 16min)
zivaHisShowNoise(hisGrid, delta: 0%, dur: 16min)
Remove high duration events
- Percentage and Duration thresholds determined manually or automatically
- Supports a true History Grid with multiple V columns
- Side Effects: Data interpolated, multiple histories that do not start and/or end around same time will result in leading and trailing 0s
- leading and trailing 0s and length of entire window will affect results in auto mode
- Input: ts, val*n grid where val*n can be multiple V columns with only numbers
- Output: Transmuted history grid of ts, V*n columns
- delta and dur used appear in column meta data
read(temp and discharge).hisRead(yesterday).zivaHisShowNoise
read(temp and discharge).hisRead(yesterday).zivaHisShowNoise(50%, 16min)
readAll(temp and discharge).hisRead(yesterday).zivaHisShowNoise
readAll(temp and discharge).hisRead(yesterday).zivaHisShowNoise(50%, 16min)
zivaMultiFourier(theList)
Plot multiple Fourier grids together
- All input grids must come from zivaFourier()
- Works on booleans or lambdas of other kinds such as numerics
- Side Effects: None
- Input: Multiple Fourier grids
- Output: Multiple v columns
zivaMultiFourier([read(temp and discharge).hisRead(2010-01).zivaFourier(x=>x<60),read(temp and discharge).hisRead(2010-01).zivaFourier(x=>x>80)])
zivaNumbDist(hisGrid, bins: 10, theChartType: "bar", raw: true, forceInterval: false, forceCleanStart: false)
Plot bins vs frequency
- Also shows average and total duration in designated bin
- Works on booleans, numbers, and strings
- Only works on a single ts and a single v0 column
- Set 4th parameter (raw) to false to see percentages instead of counts
- Side Effects: None
- Input: ts, v0 grid
- Output: Transmuted history grid of ts, v0 columns
- Bins used appears in col meta data
- read(cool).hisRead(2016-07).zivaNumbDist
- read(temp and discharge).hisRead(2016-07).zivaNumbDist
- read(temp and discharge).hisRead(2016-07).zivaNumbDist(20, "scatter")
- read(temp and discharge).hisRead(2010-01).zivaNumbDist(10, "bar", false) // 10 groups
- read(temp and discharge).hisRead(2010-01).zivaNumbDist(10, "bar", false, true, true) // groups of x have interval 10 and start at whole number
zivaRawFilter(hisGrid, delta: 50%)
Show duration buckets (manual)
- Percentage and Duration thresholds determined manually
- Debug function called by zivaHisNoiseFilter(), zivaHisShowNoise(), and zivaHisDurPlot()
- Supports only history grids with a ts, v0 column
- Side Effects: None
- Input: ts, v0 grid where v0 can only be numbers
- Output: Transmuted history grid of ts, v0, v1 = % change, v2 = group start, v3 = group end, v4 = group duration
- delta used appears in column meta data
read(temp and discharge).hisRead(yesterday).zivaRawFilter(50%)
zivaRawFilterAuto(hisGrid)
Show duration buckets (auto)
- Percentage and Duration thresholds determined automatically
- Debug function called by zivaHisNoiseFilter(), zivaHisShowNoise(), and zivaHisDurPlot()
- Supports only history grids with a ts, v0 column
- Side Effects: None
- Input: ts, v0 grid where v0 can only be numbers
- Output: Transmuted history grid of ts, v0, v1 = % change, v2 = group start, v3 = group end, v4 = group duration
- delta used and dur to be used appear in column meta data
read(temp and discharge).hisRead(yesterday).zivaRawFilterAuto
zivaEnergyInOut(theAhu, dateRange)
Compare Temperature Differential to SiteMeter's Energy
- Requires
zone air temp sensor
point on equip, weather temp
, and siteMeter
needs energy
point
- Side Effects: None
- Input: equip (usually
ahu
) with zone air temp sensor
and dates
- Output: kWh / deltaTemp hisGrid
read(ahu).zivaEnergyInOut(pastMonth)
zivaMode(hisGrid, interval)
Find One or More Modes for Dataset
- The interval parameter determines what range constitutes the same number
- Only works on a single ts and a single v0 column
- Side Effects: None
- Input: ts, v0 grid and the interval used for the groups (ie 1 treats 1.50 to 2.49 as 2 and so on)
- Output: List of dicts as string which can include multiple modes (if two or more numbers appear the same number of times)
read(temp and discharge).hisRead(pastMonth).zivaMode
read(cool).hisRead(pastMonth).zivaMode
read(power).hisRead(pastMonth).zivaMode(2)
Please contact adam@ziva-tech.com with any questions.