Any / Boolean Layer

Create boolean columns that check if ANY values in a boolean column are True. Similar to pandas any() or numpy any(). Returns True if at least one non-null value is True.

Common applications:

Detecting partial matches
Finding any occurrence of events
Partial condition satisfaction
Alert triggering
Exception detection

Table

Transform

[, ...]

List of boolean ANY operations to perform. Each transform creates a new boolean column. Common scenarios:

Multiple condition checking
Event detection across criteria
Alternative state monitoring
Fault detection systems

At least one transform must be specified.

Select

column

The boolean column to check. The operation evaluates if ANY values are True, with behavior for nulls controlled by IgnoreNull.

IgnoreNull

bool

false

Controls how null values affect the result:

false (default): Null values are treated as False
true: Null values are ignored in the evaluation

Important for handling missing or unknown values in condition checking.

Name for the new column. If not provided, the system generates a unique name. If AsColumn matches an existing column, the existing column is replaced. The name should follow valid column naming conventions.