ColumnsByTypeAll / Select Layer
Select columns by general data type categories. Similar to pandas select_dtypes() with broader type groups. Useful for:
- Quick data type filtering
- General data exploration
- Type-based analysis
- Bulk data processing
- Feature type segregation
Table
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Table
DataTypes
[, ...]Container for type category selection. Enables selection of multiple type categories simultaneously.
DataType
enumHigh-level data type categories for broader column selection
Boolean ~ String ~ Numeric ~ UnsignedInteger ~ Integer ~ Float ~ Temporal ~ Date ~ Time ~
All boolean/logical columns. Used for binary data and flags
All text-based columns including categorical and regular strings
All number types (integers and floats of any precision)
All unsigned integer types (uint8, uint16, uint32, uint64)
All integer types, both signed and unsigned
All floating-point types (float32, float64)
All time-related types (date, time, datetime, duration)
All date-only columns without time components
All time-only columns without date components