Hypotenuse / Computation Layer

Calculate the Euclidean norm (hypotenuse) from two components. Similar to numpy.hypot() or R's pythag().

Mathematical form: $h_{i} = x_{i}^{2} + y_{i}^{2}$ where $x_{i}, y_{i}$ are the components.

Common applications:

Distance calculations
Vector magnitude
Signal amplitude
Error magnitude
Complex number modulus
Physical displacement
Engineering tolerances

Note: More numerically stable than direct sqrt(x²+y²) calculation.

Table

SelectX

column

First component column. Represents:

X-coordinate or horizontal component
Real part of complex number
Base of right triangle
First dimensional measurement

Any numeric type supported.

SelectY

column

Second component column. Represents:

Y-coordinate or vertical component
Imaginary part of complex number
Height of right triangle
Second dimensional measurement

Must match type of first component.

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.