Time Features Constructor¶

Constructs new numeric variables from the input data using Python-style expressions and time-window functions.

Inputs¶

Signal	Type	Description
Data	`Orange.data.Table`	Source table used to evaluate expressions.
Variable Definitions	`Orange.data.Table`	Optional configuration table with `Variable` and `Expression` columns.

Outputs¶

Signal	Type	Description
Data	`Orange.data.Table`	Input table transformed with the generated variables.
Variable Definitions	`Orange.data.Table`	Configuration table describing original and generated variables.

Controls¶

New creates a new numeric variable definition. Remove deletes the selected definition, and Reset clears the widget state. Send evaluates the current definitions and sends the transformed data.

The editor contains a variable name, a meta-variable toggle, an expression field, a selector for source variables, a selector for standard functions, and a selector for time functions.

Expressions¶

Expressions can reference variables from the original input domain. Variable names are sanitized like Python identifiers: spaces and punctuation become underscores, and names that start with a digit get a leading underscore.

Examples:

age + 1
log(price)
shift(age, -20)
mean(temperature, -2, 2)

Standard Python built-ins such as abs, int, float and pow are available, together with public functions from Python’s math module and selected random/nan helpers.

Time Functions¶

Function	Description
`shift(var, offset)`	Value of `var` at the row shifted by `offset`. Out-of-range rows become missing values.
`sum(var, start, end)`	Sum of non-missing values in the inclusive offset window.
`mean(var, start, end)`	Mean of non-missing values in the inclusive offset window.
`count(var, start, end)`	Number of non-missing values in the inclusive offset window.
`min(var, start, end)`	Minimum non-missing value in the inclusive offset window.
`max(var, start, end)`	Maximum non-missing value in the inclusive offset window.
`sd(var, start, end)`	Standard deviation in the inclusive offset window.

Notes¶

The widget re-evaluates definitions from the original input table. This prevents repeated sends from accumulating previously generated variables as new source columns.