temp

Author: Marco Gorelli

pandas/core/indexes/multi.py

@@ -1649,7 +1649,7 @@ def _lexsort_depth(self) -> int:
             int64_codes = [ensure_int64(level_codes) for level_codes in self.codes]
         else:
             int64_codes = [
-                ensure_int64(algos.factorize(i, sort=True)[0]) for i in self.levels
+                ensure_int64(algos.factorize(self.get_level_values(i), sort=True)[0]) for i in range(self.nlevels)
             ]
         for k in range(self.nlevels, 0, -1):
             if libalgos.is_lexsorted(int64_codes[:k]):

pandas/tests/test_multilevel.py

@@ -1100,14 +1100,15 @@ def aggf(x):
             return getattr(x, op)(skipna=skipna, axis=axis)
 
         leftside = grouped.agg(aggf)
+        breakpoint()
         rightside = getattr(frame, op)(level=level, axis=axis, skipna=skipna)
         if sort:
             rightside = rightside.sort_index(level=level, axis=axis)
             frame = frame.sort_index(level=level, axis=axis)
 
         # for good measure, groupby detail
         level_index = frame._get_axis(axis).levels[level].rename(level_name)
-
+        breakpoint()
         tm.assert_index_equal(leftside._get_axis(axis), level_index)
         tm.assert_index_equal(rightside._get_axis(axis), level_index)
 
@@ -2414,6 +2415,7 @@ def test_sort_non_lexsorted(self):
         )
 
         df = DataFrame({"col": range(len(idx))}, index=idx, dtype="int64")
+        breakpoint()
         assert df.index.is_lexsorted() is False
         assert df.index.is_monotonic is False