PeakMin / Computation Layer

Identify local minimum peaks (valleys) in a numeric sequence, returning a boolean column. Similar to scipy.signal.find_peaks() with inverted input or R's pracma::findvalleys(). A local minimum occurs when a value is less than both its immediate neighbors.

Mathematical condition: $y_{i} = {t r u e f a l se if x_{i - 1} > x_{i} < x_{i + 1} otherwise$

Common applications:

Signal processing (trough detection)
Time series analysis (cycle bottoms)
Market analysis (price bottoms)
Scientific data analysis (spectrum valleys)
Sensor data processing (minimum readings)
Pattern recognition (valley detection)
Process control (minimum points)

Note: First and last rows always return false as they lack complete neighbors.

Table

Transforms

[, ...]

Select

column

The numeric column to find local minima in. Typical inputs:

Time series data (prices, measurements)
Signal data (wavelengths, amplitudes)
Sequential measurements (sensor readings)
Ordered observations (experimental data)

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.