aind_ephys_utils.ops.bin module¶
Binning operations for ragged spikes.
- aind_ephys_utils.ops.bin.bin(data: DataArray | ndarray | Sequence[object] | Sequence[Sequence[object]], dt: float, window: Tuple[float, float] | None = None, output: str = 'rate', time_unit: str = 's', dims: Sequence[str] | None = None, coords: Dict[str, object] | None = None, return_type: str = 'auto') DataArray | object¶
Bin ragged spikes into a dense representation.
- Parameters:
data – Ragged spike DataArray/list or object NumPy array.
dt – Bin width in seconds.
window – Optional (tmin, tmax) window to bin.
output – Output type, typically “rate” or “count”.
time_unit – Unit for time values, recorded in attrs.
dims – Optional dimension names used when
datais a dense NumPy array. This is ignored for ragged list inputs.coords – Optional coordinate mapping used when constructing a DataArray from dense NumPy input.
return_type – Output type policy:
"auto","xarray", or"numpy"."auto"mirrors the input style (xarray in/xarray out, list/NumPy ragged in/list or NumPy out).
- Returns:
Binned dense output. For
return_type="numpy", returns a NumPy array with the same dense shape as the xarray result values.- Return type:
xr.DataArray or object