def _check_triangular_bounds(self, var, coords=None, axis='x', nans=None):
"""
Checks whether the bounds in the variable attribute are triangular
Parameters
----------
var: xarray.Variable or xarray.DataArray
The variable to check
coords: dict
Coordinates to use. If None, the coordinates of the dataset in the
:attr:`ds` attribute are used.
axis: {'x', 'y'}
The spatial axis to check
nans: {None, 'skip', 'only'}
Determines whether values with nan shall be left (None), skipped
(``'skip'``) or shall be the only one returned (``'only'``)
Returns
-------
bool or None
True, if unstructered, None if it could not be determined
xarray.Coordinate or None
the bounds corrdinate (if existent)"""
coord = self.get_variable_by_axis(var, axis, coords=coords)
if coord is not None:
bounds = coord.attrs.get('bounds')
if bounds is not None:
bounds = self.ds.coords.get(bounds)
if coords is not None:
bounds = bounds.sel(**{
key: coords[key]
for key in set(coords).intersection(bounds.dims)})
if nans == 'skip':
bounds = bounds[~np.isnan(var.values)]
elif nans == 'only':
bounds = bounds[np.isnan(var.values)]
elif nans is None:
pass
else:
raise ValueError(
"`nans` must be either None, 'skip', or 'only'! "
"Not {0}!".format(str(nans)))
if bounds is not None:
return bounds.shape[-1] > 2, bounds
else:
return None, bounds
return None, None
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