Process error: Cannot apply_along_axis when any iteration dimensions are 0 about daops HOT 5 CLOSED

if da[lat].size == 0 or da[lon].size == 0:
    raise ValueError(
        "There were no valid data points found in the requested subset. Please expand "
        "the area covered by the bounding box."
    )

clisops/ops/subset.py:168: in subset
    return op.process()
clisops/ops/base_operation.py:89: in process
    processed_ds = self._calculate()
clisops/ops/subset.py:64: in _calculate
    result = subset_bbox(ds, **self.params)
clisops/core/subset.py:251: in func_checker
    return func(*args, **kwargs)
clisops/core/subset.py:855: in subset_bbox
    coord=da[d], bounds=[coords.min().values, coords.max().values], dim=d
../venv/lib/python3.7/site-packages/xarray/core/common.py:46: in wrapped_func
    return self.reduce(func, dim, axis, skipna=skipna, **kwargs)
../venv/lib/python3.7/site-packages/xarray/core/dataarray.py:2518: in reduce
    var = self.variable.reduce(func, dim, axis, keep_attrs, keepdims, **kwargs)
../venv/lib/python3.7/site-packages/xarray/core/variable.py:1633: in reduce
    data = func(self.data, **kwargs)
../venv/lib/python3.7/site-packages/xarray/core/duck_array_ops.py:337: in f
    return func(values, axis=axis, **kwargs)
../venv/lib/python3.7/site-packages/xarray/core/duck_array_ops.py:56: in f
    return wrapped(*args, **kwargs)
<__array_function__ internals>:6: in amin
    ???
../venv/lib/python3.7/site-packages/numpy/core/fromnumeric.py:2793: in amin
    keepdims=keepdims, initial=initial, where=where)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

obj = array([], dtype=int32), ufunc = <ufunc 'minimum'>, method = 'min', axis = None, dtype = None, out = None, kwargs = {'initial': <no value>, 'keepdims': <no value>, 'where': <no value>}, passkwargs = {}

    def _wrapreduction(obj, ufunc, method, axis, dtype, out, **kwargs):
        passkwargs = {k: v for k, v in kwargs.items()
                      if v is not np._NoValue}
    
        if type(obj) is not mu.ndarray:
            try:
                reduction = getattr(obj, method)
            except AttributeError:
                pass
            else:
                # This branch is needed for reductions like any which don't
                # support a dtype.
                if dtype is not None:
                    return reduction(axis=axis, dtype=dtype, out=out, **passkwargs)
                else:
                    return reduction(axis=axis, out=out, **passkwargs)
    
>       return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
E       ValueError: zero-size array to reduction operation minimum which has no identity

../venv/lib/python3.7/site-packages/numpy/core/fromnumeric.py:90: ValueError