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Rework PandasMultiIndex.sel internals #7004

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38 changes: 24 additions & 14 deletions xarray/core/indexes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -783,31 +783,41 @@ def sel(self, labels, method=None, tolerance=None) -> IndexSelResult:
# label(s) given for multi-index level(s)
if all([lbl in self.index.names for lbl in labels]):
label_values = {}
has_array = False
for k, v in labels.items():
label_array = normalize_label(v, dtype=self.level_coords_dtype[k])
try:
label_values[k] = as_scalar(label_array)
except ValueError:
# label should be an item not an array-like
raise ValueError(
"Vectorized selection is not "
f"available along coordinate {k!r} (multi-index level)"
)

has_slice = any([isinstance(v, slice) for v in label_values.values()])

if len(label_values) == self.index.nlevels and not has_slice:
if isinstance(v, slice):
label_values[k] = v
else:
label_array = normalize_label(v, dtype=self.level_coords_dtype[k])
try:
label_values[k] = as_scalar(label_array)
except ValueError:
label_values[k] = label_array
has_array = True

all_levels = len(label_values) == self.index.nlevels
is_slice = [isinstance(v, slice) for v in label_values.values()]

if all_levels and not any(is_slice) and not has_array:
# only one item is selected (or KeyError raised by pandas)
indexer = self.index.get_loc(
tuple(label_values[k] for k in self.index.names)
)
else:
elif not any(is_slice) and not has_array:
# select only one level or only one item
indexer, new_index = self.index.get_loc_level(
tuple(label_values.values()), level=tuple(label_values.keys())
)
scalar_coord_values.update(label_values)
# GH2619. Raise a KeyError if nothing is chosen
if indexer.dtype.kind == "b" and indexer.sum() == 0:
raise KeyError(f"{labels} not found")
else:
# all other cases
seq = [label_values.get(k, slice(None)) for k in self.index.names]
indexer = self.index.get_locs(seq)
if not len(indexer):
raise KeyError(f"{labels} not found")

# assume one label value given for the multi-index "array" (dimension)
else:
Expand Down