.loc[ lambda, 'col'] = x got error TypeError: 'function' object is not iterable

[eromoe]

System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): windows 10
• Modin version (modin.__version__): 0.10.0
• Python version: 3.8.8
• Code we can use to reproduce:

Test code:

df = pd.DataFrame([[1, 2], [4, 5], [7, 8]],
     index=[7, 8, 9], columns=['max_speed', 'shield'])
df.loc[lambda df: df['shield'] == 8, 'max_speed'] = 0

this is valid in pandas.

got error :

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-101-f9afffa1da7a> in <module>
----> 1 df.loc[lambda df: df['shield'] == 8, 'max_speed'] = 0

~\anaconda3\lib\site-packages\modin\pandas\indexing.py in __setitem__(self, key, item)
    594             self.qc = self.df._query_compiler
    595         else:
--> 596             row_lookup, col_lookup = self._compute_lookup(row_loc, col_loc)
    597             super(_LocIndexer, self).__setitem__(
    598                 row_lookup,

~\anaconda3\lib\site-packages\modin\pandas\indexing.py in _compute_lookup(self, row_loc, col_loc)
    675             row_lookup = [i for i, row_val in enumerate(row_loc) if row_val]
    676         else:
--> 677             row_lookup = self.qc.index.get_indexer_for(row_loc)
    678         if isinstance(col_loc, slice):
    679             col_lookup = self.qc.columns.get_indexer_for(

~\anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_indexer_for(self, target, **kwargs)
   4958         """
   4959         if self._index_as_unique:
-> 4960             return self.get_indexer(target, **kwargs)
   4961         indexer, _ = self.get_indexer_non_unique(target)
   4962         return indexer

~\anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_indexer(self, target, method, limit, tolerance)
   3145     ) -> np.ndarray:
   3146         method = missing.clean_reindex_fill_method(method)
-> 3147         target = ensure_index(target)
   3148         if tolerance is not None:
   3149             tolerance = self._convert_tolerance(tolerance, target)

~\anaconda3\lib\site-packages\pandas\core\indexes\base.py in ensure_index(index_like, copy)
   5915             index_like = copy_func(index_like)
   5916 
-> 5917     return Index(index_like)
   5918 
   5919 

~\anaconda3\lib\site-packages\pandas\core\indexes\base.py in __new__(cls, data, dtype, copy, name, tupleize_cols, **kwargs)
    388                     )
    389             # other iterable of some kind
--> 390             subarr = com.asarray_tuplesafe(data, dtype=object)
    391             return Index(subarr, dtype=dtype, copy=copy, name=name, **kwargs)
    392 

~\anaconda3\lib\site-packages\pandas\core\common.py in asarray_tuplesafe(values, dtype)
    199 
    200     if not (isinstance(values, (list, tuple)) or hasattr(values, "__array__")):
--> 201         values = list(values)
    202     elif isinstance(values, ABCIndexClass):
    203         return values._values

TypeError: 'function' object is not iterable