---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
Cell In[26], line 3
      1 A = pd.DataFrame(tris.simplices)
      2 B = pd.DataFrame(pts)
----> 3 pd.merge(A, B, left_on=[0], right_on=[0])

File ~\AppData\Local\mambaforge\envs\tmp\Lib\site-packages\pandas\core\reshape\merge.py:156, in merge(left, right, how, on, left_on, right_on, left_index, right_index, sort, suffixes, copy, indicator, validate)
    125 @Substitution("\nleft : DataFrame or named Series")
    126 @Appender(_merge_doc, indents=0)
    127 def merge(
   (...)
    140     validate: str | None = None,
    141 ) -> DataFrame:
    142     op = _MergeOperation(
    143         left,
    144         right,
   (...)
    154         validate=validate,
    155     )
--> 156     return op.get_result(copy=copy)

File ~\AppData\Local\mambaforge\envs\tmp\Lib\site-packages\pandas\core\reshape\merge.py:803, in _MergeOperation.get_result(self, copy)
    800 if self.indicator:
    801     self.left, self.right = self._indicator_pre_merge(self.left, self.right)
--> 803 join_index, left_indexer, right_indexer = self._get_join_info()
    805 result = self._reindex_and_concat(
    806     join_index, left_indexer, right_indexer, copy=copy
    807 )
    808 result = result.__finalize__(self, method=self._merge_type)

File ~\AppData\Local\mambaforge\envs\tmp\Lib\site-packages\pandas\core\reshape\merge.py:1051, in _MergeOperation._get_join_info(self)
   1047     join_index, right_indexer, left_indexer = _left_join_on_index(
   1048         right_ax, left_ax, self.right_join_keys, sort=self.sort
   1049     )
   1050 else:
-> 1051     (left_indexer, right_indexer) = self._get_join_indexers()
   1053     if self.right_index:
   1054         if len(self.left) > 0:

File ~\AppData\Local\mambaforge\envs\tmp\Lib\site-packages\pandas\core\reshape\merge.py:1024, in _MergeOperation._get_join_indexers(self)
   1022 def _get_join_indexers(self) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp]]:
   1023     """return the join indexers"""
-> 1024     return get_join_indexers(
   1025         self.left_join_keys, self.right_join_keys, sort=self.sort, how=self.how
   1026     )

File ~\AppData\Local\mambaforge\envs\tmp\Lib\site-packages\pandas\core\reshape\merge.py:1645, in get_join_indexers(left_keys, right_keys, sort, how, **kwargs)
   1640 # get left & right join labels and num. of levels at each location
   1641 mapped = (
   1642     _factorize_keys(left_keys[n], right_keys[n], sort=sort, how=how)
   1643     for n in range(len(left_keys))
   1644 )
-> 1645 zipped = zip(*mapped)
   1646 llab, rlab, shape = (list(x) for x in zipped)
   1648 # get flat i8 keys from label lists

File ~\AppData\Local\mambaforge\envs\tmp\Lib\site-packages\pandas\core\reshape\merge.py:1642, in <genexpr>(.0)
   1638         return _get_no_sort_one_missing_indexer(left_n, False)
   1640 # get left & right join labels and num. of levels at each location
   1641 mapped = (
-> 1642     _factorize_keys(left_keys[n], right_keys[n], sort=sort, how=how)
   1643     for n in range(len(left_keys))
   1644 )
   1645 zipped = zip(*mapped)
   1646 llab, rlab, shape = (list(x) for x in zipped)

File ~\AppData\Local\mambaforge\envs\tmp\Lib\site-packages\pandas\core\reshape\merge.py:2382, in _factorize_keys(lk, rk, sort, how)
   2378         # error: Item "ndarray" of "Union[Any, ndarray]" has no attribute
   2379         # "_values_for_factorize"
   2380         rk, _ = rk._values_for_factorize()  # type: ignore[union-attr]
-> 2382 klass, lk, rk = _convert_arrays_and_get_rizer_klass(lk, rk)
   2384 rizer = klass(max(len(lk), len(rk)))
   2386 if isinstance(lk, BaseMaskedArray):

File ~\AppData\Local\mambaforge\envs\tmp\Lib\site-packages\pandas\core\reshape\merge.py:2449, in _convert_arrays_and_get_rizer_klass(lk, rk)
   2447         klass = _factorizers[lk.dtype.type]  # type: ignore[index]
   2448     else:
-> 2449         klass = _factorizers[lk.dtype.type]
   2451 else:
   2452     klass = libhashtable.ObjectFactorizer

KeyError: <class 'numpy.intc'>