Flux universe package (built-in)
The Flux universe package includes all functions that do not require a package import statement and are usable without any extra setup.
The “built-in” functions in the universe package provide a foundation for working with data using Flux.
Options
The universe package provides the following options:
option now = () => system.time
now
Function option that, by default, returns the current system time.
The value of now() is cached at query time, so all instances of now() in a
script return the same time value.
Functions
- aggregateWindow()
- bool()
- bottom()
- buckets()
- bytes()
- chandeMomentumOscillator()
- columns()
- contains()
- count()
- cov()
- covariance()
- cumulativeSum()
- derivative()
- difference()
- distinct()
- doubleEMA()
- drop()
- duplicate()
- duration()
- elapsed()
- exponentialMovingAverage()
- fill()
- filter()
- findColumn()
- findRecord()
- first()
- float()
- getColumn()
- getRecord()
- group()
- highestAverage()
- highestCurrent()
- highestMax()
- histogram()
- histogramQuantile()
- holtWinters()
- hourSelection()
- increase()
- int()
- integral()
- join()
- kaufmansAMA()
- kaufmansER()
- keep()
- keys()
- keyValues()
- last()
- length()
- limit()
- linearBins()
- logarithmicBins()
- lowestAverage()
- lowestCurrent()
- lowestMin()
- map()
- max()
- mean()
- median()
- min()
- mode()
- movingAverage()
- now()
- pearsonr()
- pivot()
- quantile()
- range()
- reduce()
- relativeStrengthIndex()
- rename()
- sample()
- set()
- skew()
- sleep()
- sort()
- spread()
- stateCount()
- stateDuration()
- stddev()
- string()
- sum()
- tableFind()
- tail()
- time()
- timedMovingAverage()
- timeShift()
- timeWeightedAvg()
- toBool()
- today()
- toDuration()
- toFloat()
- toInt()
- top()
- toString()
- toTime()
- toUInt()
- tripleEMA()
- tripleExponentialDerivative()
- truncateTimeColumn()
- uint()
- union()
- unique()
- window()
- yield()
Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for Flux and this documentation. To find support, the following resources are available:
InfluxDB Cloud customers can contact InfluxData Support.