ColumnsByAlphaNumericName / Select Layer

Select columns based on alphanumeric name matching. Similar to pandas' filter() or dplyr's select() with regex patterns. This operation identifies and selects columns containing alphanumeric patterns while preserving their original order.

Common applications:

  • Selecting numbered feature columns (feature1, feature2, etc.)
  • Filtering versioned columns (data_v1, data_v2)
  • Extracting sequential measurements (reading_1, reading_2)
  • Processing time-series columns (t0, t1, t2)
  • Handling multi-batch data (batch_001, batch_002)

Particularly useful in:

  • Scientific data analysis
  • Longitudinal studies
  • Sensor data processing
  • Version control systems
  • Automated data pipelines
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false

Controls character matching behavior:

  • false (default): Matches full Unicode alphanumeric characters (e.g., α1, β2)
  • true: Matches ASCII alphanumeric only (A-Z, a-z, 0-9)

Use cases:

  • false: Scientific notation, mathematical symbols
  • true: Standard data processing, system compatibility
false

Determines space handling in pattern matching:

  • false (default): Treats spaces as distinct characters (sensor1 ≠ sensor 1)
  • true: Ignores spaces in matching (sensor1 = sensor 1)

Important for:

  • Handling varied naming conventions
  • Matching inconsistent column formats
  • Cross-system data harmonization