Sep 12, 2026 · Sep 12, 2026 · Sep 12, 2026 · Sep 12, 2026 · Sep 12, 2026 · Sep 12, 2026
diff --git a/docs/docs/pypaimon/multimodal-reading.md b/docs/docs/pypaimon/multimodal-reading.md
Original file line number	Diff line number	Diff line change
Expand Up		@@ -102,6 +102,30 @@ states_at_steps = aligned.interpolate(
		)
		```

	Use `aggregate_window` to reduce higher-frequency numeric scalar samples
	around each left timestamp. Bounds are inclusive by default; `following`
	defaults to zero.
	Supported aggregations are `mean`, `min`, `max`, `first`, `last`, and `count`;
	nulls are skipped. Set `closed` to `left`, `right`, or `neither` to exclude
	endpoints. Empty windows return null, except `count` returns zero.

	```python
	from pypaimon.multimodal import aggregate_window

	steps_with_imu = aggregate_window(
	steps.scan(),
	imu.scan().select(["acceleration", "angular_velocity"]),
	on="event_time",
	by="episode_id",
	preceding=timedelta(milliseconds=50),
	following=timedelta(milliseconds=50),
	aggregations={
	"acceleration": "mean",
	"angular_velocity": "mean",
	},
	)
	```

		### Reading BLOB columns

		`scan().read_blobs(column)` bulk-fetches a BLOB column's bytes for the filtered
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