Log10 / Computation Layer

Calculate the base-10 (common) logarithm for each value in a numeric column. Similar to numpy.log10(), pandas.eval('log10()'), or R's log10() function.

Mathematical form: $y_{i} = lo g_{10} (x_{i}) = \frac{ln ( x _{i} )}{ln ( 10 )}$ where $i$ is the row index.

Common applications:

Engineering calculations
Decibel measurements (acoustics)
pH calculations (chemistry)
Stellar brightness (astronomy)
Earthquake magnitude (geology)
Signal strength (electronics)
Order of magnitude analysis

Note: Input values must be positive. Each increase of 1 in output represents a 10-fold increase in input.

Table

Transforms

[, ...]

Select

column

The numeric column to compute base-10 logarithms for. Values must be positive (> 0). Commonly used with:

Scientific measurements
Scale values spanning multiple orders of magnitude
Power ratios and intensity levels
Concentration measurements

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.