FilterWithMask / Manipulation Layer

Filter DataFrame rows using a boolean mask column. Similar to pandas' df[mask] or R's subset().

Example:

Original DataFrame:

idvalueis_valid
1100true
2-5false
3200true
4-10false

Result (filtering with is_valid):

idvalueis_valid
1100true
3200true

Result (filtering with is_valid, negative=true):

idvalueis_valid
2-5false
4-10false

Common applications:

  • Data validation filtering
  • Quality control selection
  • Condition-based subsetting
  • Threshold filtering
  • Status-based selection
Table
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Table

Boolean column for filtering. Examples:

  • Validation flags
  • Quality indicators
  • Threshold tests
  • Status checks Only rows where mask is true (or false if negated) are kept
false

Invert the filter condition:

  • false (default): Keep rows where mask is true
  • true: Keep rows where mask is false