FillNullWithNan / Manipulation Layer

Convert null values to NaN (Not a Number) in floating-point columns. Similar to pandas' convert_dtypes() with nullable floating-point handling or R's NA to NaN conversion.

This operation is useful when:

Converting between different missing value representations
Preparing data for numerical computations
Working with libraries that expect NaN for missing values
Implementing IEEE 754 floating-point standards

Common applications:

Scientific computing frameworks integration
Mathematical library compatibility
Numerical analysis preparation
Legacy system data conversion

Note: Only applicable to floating-point columns as NaN is a special floating-point value defined by IEEE 754 standard.

Table

Transforms

[, ...]

Defines a single column transformation from null to NaN. This conversion ensures compatibility with numerical computing systems and maintains proper floating-point missing value semantics in mathematical operations.

SelectNull

column

The floating-point column containing null values to convert to NaN. Used in:

Numerical arrays for computation
Statistical analysis preparation
Mathematical modeling inputs
Scientific data processing Must be a floating-point type column.

AsColumn

name

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.