Crate quarb_csv 

CSV adapter for Quarb.

Maps tabular data onto the arbor model the way a DataFrame maps onto a table: one node per record, one property per column.

• The unnamed root has one row child per record, in file order, so /row iterates the table, /row[5] is the fifth record, and //row @| count is the row count.
• Columns are properties, named by the header: ::age reads the age cell. Numeric-looking cells participate in comparisons and arithmetic via the numeric reading (::price * ::qty).
• An empty cell is a missing value: the property projects as null, which numeric aggregates skip and null propagation respects — pandas’ NaN behavior without a sentinel.
• Rows are leaves; there are no traits and no crosslinks.
• ;;;columns on the root lists the column names; ;;;n-rows counts records; ;;;n-fields on a row counts its cells.

The first record must be the header. Parsing is strict about ragged rows (a record with the wrong field count is an error).

Structs

CsvAdapter

A Quarb adapter over a parsed CSV table.