import dascore as dc
patch = dc.get_example_patch()
coords = patch.coords
# Select subset of coordinates
new_coords, _ = coords.select(time=(0, 10))
assert 'time' in new_coordsselect
select(
self ,
array: ndarray | None = None,
relative = False,
samples = False,
**kwargs ,
)-> ‘tuple[Self, MaybeArray]’
Perform selection on coordinates.
Any dimension name can be passed as key, and the values can be: - a tuple of (min, max) for that dimension, or an equivalent slice. None and … both indicate open intervals, as does an infinite bound pointing away from the data, eg (min, np.inf). - an integer, when samples=True, to select a single row or column. - an array of values to select, which must be a subset of the coordinate array. - an array of booleans of the same length as the coordinate where True indicates values to keep. This form does not support samples=True.
Parameters
| Parameter | Description |
|---|---|
| array | An array to which the selection will be applied. |
| relative |
If True, coordinate updates are relative. Does nothing if values passed are numpy arrays. |
| samples | If True, the query meaning is in samples. |
| **kwargs | Used to specify dimension and select arguments. |