Flux built-in transformation functions

Flux’s built-in transformation functions transform or shape your data in specific ways. There are different types of transformations categorized below:

Built-in aggregate transformations

Flux’s aggregate transformations take values from an input table and aggregate them in some way. Output tables contain a single row with the aggregated value.

Built-in selector functions

Flux’s built-in selector functions return one or more records based on function logic.

Built-in type conversion functions

Flux’s built-in built-in type conversion functions convert columns of the input table into a specific data type.

Stream and table functions

Use stream and table functions to extract a table from a stream of tables and access its columns and records.

Generic transformations

• chandeMomentumOscillator()
• columns()
• cov()
• covariance()
• cumulativeSum()
• derivative()
• difference()
• doubleEMA()
• drop()
• duplicate()
• elapsed()
• exponentialMovingAverage()
• fill()
• filter()
• group()
• histogram()
• holtWinters()
• hourSelection()
• increase()
• join()
• kaufmansAMA()
• kaufmansER()
• keep()
• keys()
• keyValues()
• limit()
• map()
• movingAverage()
• pearsonr()
• pivot()
• range()
• relativeStrengthIndex()
• rename()
• set()
• sort()
• stateCount()
• stateDuration()
• tail()
• timedMovingAverage()
• timeShift()
• tripleEMA()
• tripleExponentialDerivative()
• truncateTimeColumn()
• union()
• window()

functions