import pandas as pd
import dascore as dc
frame = pd.DataFrame(
{"group": ["event"], "distance_min": [10.0], "distance_max": [80.0]}
)
annotations = dc.AnnotationSet(frame, dims=("time", "distance"))
"group" in annotations.io.to_csv()Trueannotation_set_to_csv
annotation_set_to_csv(
annotations: AnnotationSet ,
path: str | pathlib._local.Path | None[str, Path, None] = None,
)-> ‘str’
Return the annotations as CSV text, optionally writing it to a path.
Reached as annotation_set.io.to_csv.
A bare table states one grain, so a set holding vertices is written with save instead; this is the spelling for a set of regions. A duration dimension is refused: a CSV has no spelling for one which reads back, where parquet has a type for it.
The dimensions are not written: they are not a column, and the only place a CSV has for them is a comment line, which a reader not told to expect one takes for the header. Reading such a table back states them again, in the call or in a # dims: distance, time line written above the header by hand.
Parameters
| Parameter | Description |
|---|---|
| annotations | The set to write. |
| path | Where to write the text, or None to only return it. |