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
2026-07-20	333.510010	333.709991	323.679993	326.589996	53468000
2026-07-21	323.130005	329.600006	322.220001	327.739990	41338900
2026-07-22	327.869995	329.000000	323.339996	325.890015	38755900
2026-07-23	321.730011	323.299988	319.350006	321.660004	40840800
2026-07-24	NaN	NaN	NaN	NaN	47460975