Local files

q.data.load/q.data.save dispatch on the file suffix: .parquet (via DuckDB) or .csv (via pandas). A quick round trip through a temp directory:

import qrt as q

aapl = q.data.datasets.load("aapl")

import tempfile
from pathlib import Path

with tempfile.TemporaryDirectory() as tmp:
    path = Path(tmp) / "aapl.parquet"
    q.data.save(aapl.tail(30), path, index=True)
    roundtrip = q.data.load(path, index="datetime")

roundtrip.tail()

	open	high	low	close	volume
datetime
2026-07-13	317.019989	323.450012	315.779999	317.309998	43257800
2026-07-14	313.760010	316.190002	311.910004	314.859985	36336800
2026-07-15	317.619995	328.730011	317.320007	327.500000	60957600
2026-07-16	328.010010	334.679993	326.790009	333.260010	62970600
2026-07-17	331.980011	334.989990	329.000000	333.739990	63365300