Panel Utilities

The panel module provides diagnostic, validation, and transformation tools for preparing panel data before estimation. All functions accept any Arrow-compatible DataFrame and return the same format.

Diagnostics

diagnose_panel	Run a diagnostic battery on panel data.
PanelDiagnostics	Structured report returned by diagnose_panel.

Validation

is_balanced_panel	Check whether the panel is balanced.
has_gaps	Check whether the panel has any implicit missing unit-time pairs.
scan_gaps	Identify missing unit-time combinations.
are_varying	Check which columns vary within units over time.

Transformation

make_balanced_panel	Drop units not observed in every time period.
fill_panel_gaps	Make the panel rectangular by inserting null rows for missing pairs.
complete_data	Keep units observed in at least min_periods time periods.
deduplicate_panel	Remove duplicate unit-time pairs.
get_first_difference	Add a "dy" column containing first-differenced outcomes.
get_group	Extract treatment-group timing into a "G" column.
assign_rc_ids	Add a unique "rowid" column for repeated cross-section data.
panel_to_wide	Pivot a long panel to wide format.
wide_to_panel	Unpivot wide-format data into a long panel.