import pandas as pd
import dascore as dc
frame = pd.DataFrame({"group": ["event"], "distance": [10.0]})
picks = dc.annotations(frame, dims=("distance",))
len(picks)
dc.annotations(picks) is picksTrueannotations
annotations(
source: dascore.core.annotations.AnnotationSet | str | os.PathLike | Any[AnnotationSet, str, PathLike, Any] = None,
dims: collections.abc.Sequence[collections.abc.Sequence[str], None] = None,
**kwargs ,
)-> ‘AnnotationSet’
Load annotations from whatever holds them.
The one door every source goes through, as dascore.spool is for patches: a set comes back from a set, a directory, a table on disk, or anything a dataframe can be built from.
Parameters
| Parameter | Description |
|---|---|
| source |
An AnnotationSet, a path to a set directory or a CSV table, or adataframe of one row per annotation. |
| dims |
The patch dimensions the annotations are stated in. Required unless the source states them itself, and overriding it where it does. |
| **kwargs |
Passed to AnnotationSet.A source already holding what one states – a set, or a directory holding its own attributes and vertices – refuses it rather than dropping it. |