Multiply / Operator Layer

Perform element-wise multiplication between numeric columns or multiply a column by a constant value. Similar to pandas df['A'] * df['B'] or df['A'] * 5, numpy's multiply, or R's multiplication operator.

Mathematical form: $y_{i} = x_{i} * v$ for constant multiplication, or $y_{i} = x_{i} * z_{i}$ for column multiplication, where $i$ is the row index.

Common applications:

Currency conversions and exchange rates
Scaling measurements or sensor readings
Calculating areas (length × width)
Applying percentage adjustments
Unit conversions (meters to kilometers)
Population scaling and sampling weights
Energy and power calculations

Table

SelectLeft

column

The primary column for multiplication. Must be numeric type. Forms the base value for scaling, conversion, or paired multiplication operations.

SelectRight

oneof

Integer

Value

i64

64-bit signed integer multiplier. Range: -2^63 to 2^63-1. Examples:

×2 for doubling quantities
×1000 for unit conversions
×100 for percentage calculations
×-1 for sign reversal

UnsignedInteger

Value

u64

64-bit unsigned integer multiplier. Range: 0 to 2^64-1. Use cases:

Pack size calculations
Storage unit conversions
Frequency multiplications
Batch size adjustments

Float

Value

f64

64-bit floating-point multiplier. Provides about 15-17 decimal digits of precision. Common uses:

Rate adjustments (×1.05 for 5% increase)
Physical constants (×9.81 for gravity)
Scaling factors (×0.001 for milli-units)
Probability weights (×0.5 for half-weight)

Column

Other

column

The second column for element-wise multiplication. Must be compatible numeric type with SelectLeft. Common pairs:

quantity × unit_price
distance × rate
signal × amplitude
weight × dosage
demand × price

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.