ColumnsByAlphaName / Select Layer

Select columns based on alphabetical name matching. Similar to pandas loc[] with alphabetical patterns or dplyr's select() with alphabetical criteria. This operation filters columns while maintaining their original order.

Common applications:

  • Extracting related fields (e.g., all customer_* columns)
  • Data export with specific column patterns
  • Feature selection in machine learning
  • Schema validation and verification
  • Targeted data analysis
Table
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Table
false

Controls character matching behavior:

  • false (default): Matches full Unicode characters (e.g., état, méxico)
  • true: Matches ASCII characters only

Use cases:

  • false: International datasets, multilingual column names
  • true: Standard English naming conventions, legacy system compatibility
false

Determines space handling in pattern matching:

  • false (default): Treats spaces as distinct characters (first_name ≠ first name)
  • true: Ignores spaces in matching (first_name = first name)

Important for:

  • Flexible column name matching
  • Handling inconsistent naming conventions
  • Cross-system data integration