All / Boolean Layer

Create boolean columns that check if ALL values in a boolean column are True. Similar to pandas all() or numpy all(). Returns True only if every non-null value is True.

Common applications:

Validating complete compliance
Checking full condition satisfaction
Quality control pass/fail
System state verification
Complete test coverage

Table

Transform

[, ...]

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

Multiple validation checks
Cross-condition verification
Composite state monitoring
Multi-criteria evaluation

At least one transform must be specified.

Select

column

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

IgnoreNull

bool

false

Controls how null values affect the result:

false (default): Null values cause the result to be False
true: Null values are ignored in the evaluation

Important for handling missing or unknown values in validation checks.

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.