regionmask.Regions.mask_3D
- Regions.mask_3D(lon_or_obj, lat=None, *, drop=True, method=None, wrap_lon=None, use_cf=None)
create a 3D boolean mask of a set of regions for the given lat/ lon grid
- Parameters:
- lon_or_objobject or array_like
Can either be a longitude array and then
lat
needs to be given. Or an object where the longitude and latitude can be retrieved from, either using cf_xarray or by the names “lon” and “lat”. See alsouse_cf
.- latarray_like, optional
If
lon_or_obj
is a longitude array, the latitude needs to be passed.- dropboolean, default: True
If True (default) drops slices where all elements are False (i.e no gridpoints are contained in a region). If False returns one slice per region.
- wrap_lonNone | bool | 180 | 360, default: None
Whether to wrap the longitude around, inferred automatically. If the regions and the provided longitude do not have the same base (i.e. one is -180..180 and the other 0..360) one of them must be wrapped. This can be achieved with wrap_lon:
None
: autodetects whether the longitude needs to be wrappedFalse
: nothing is done. This is useful when working with coordinates that are not in lat/ lon format.True
: longitude data is wrapped to [0, 360[ if its minimum is smaller than 0 and wrapped to [-180, 180[ if its maximum is larger than 180.180
: Wraps longitude coordinates to [-180, 180[360
: Wraps longitude coordinates to [0, 360[
- use_cfbool, default: None
Whether to use
cf_xarray
to infer the names of the x and y coordinates. If None uses cf_xarray if the coord names are unambiguous. If True requires cf_xarray if False does not use cf_xarray.
- Returns:
- mask_3Dboolean xarray.DataArray
See also
References
See https://regionmask.readthedocs.io/en/stable/notebooks/method.html