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ValueError: Cannot mask with a boolean indexer containing NA values
The following tests fail with this error: ValueError: Cannot mask with a boolean indexer containing NA values
self = <tests.test_fixedextensionarray.TestGeometryGetitem object at 0x7fe965159410> data = <PointArray> [ Point([0.0, 1.0]), Point([1.0, 2.0]), Point([3.0, 4.0]), None, Point([-1.0, -2.0])... Point([1.0, 2.0]), Point([3.0, 4.0]), None, Point([-1.0, -2.0])] Length: 100, dtype: point[float64] def test_getitem_boolean_na_treated_as_false(self, data): # https://github.com/pandas-dev/pandas/issues/31503 mask = pd.array(np.zeros(data.shape, dtype="bool"), dtype="boolean") mask[:2] = pd.NA mask[2:4] = True > result = data[mask] ../../miniconda3/envs/default/lib/python3.7/site-packages/pandas/tests/extension/base/getitem.py:167: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <PointArray> [ Point([0.0, 1.0]), Point([1.0, 2.0]), Point([3.0, 4.0]), None, Point([-1.0, -2.0])... Point([1.0, 2.0]), Point([3.0, 4.0]), None, Point([-1.0, -2.0])] Length: 100, dtype: point[float64] item = <BooleanArray> [ <NA>, <NA>, True, True, False, False, False, False, False, False, False, False, False, False, Fal...alse, False, False, False, False, False, False, False, False, False, False, False, False] Length: 100, dtype: boolean def __getitem__(self, item): err_msg = ("Only integers, slices and integer or boolean" "arrays are valid indices.") if isinstance(item, Integral): item = int(item) if item < -len(self) or item >= len(self): raise IndexError("{item} is out of bounds".format(item=item)) else: # Convert negative item index if item < 0: item += len(self) value = self.data[item].as_py() if value is not None: return self._element_type(value, self.numpy_dtype) else: return None elif isinstance(item, slice): if item.step is None or item.step == 1: # pyarrow only supports slice with step of 1 return self.__class__(self.data[item], dtype=self.dtype) else: selected_indices = np.arange(len(self))[item] return self.take(selected_indices, allow_fill=False) elif isinstance(item, Iterable): if isinstance(item, (np.ndarray, ExtensionArray)): # Leave numpy and pandas arrays alone kind = item.dtype.kind else: item = pd.array(item) kind = item.dtype.kind if len(item) == 0: return self.take([], allow_fill=False) elif kind == 'b': # Check mask length is compatible if len(item) != len(self): raise IndexError( "boolean mask length ({}) doesn't match array length ({})" .format(len(item), len(self)) ) # check for NA values if any(pd.isna(item)): raise ValueError( > "Cannot mask with a boolean indexer containing NA values" ) E ValueError: Cannot mask with a boolean indexer containing NA values spatialpandas/geometry/base.py:385: ValueError
self = <tests.test_listextensionarray.TestGeometryGetitem object at 0x7fe964ebe810> data = <LineArray> [ Line([0.0, 1.0]), Line([1.0, 2.0, 3.0, 4.0]), None, Line([-1.0, ... None, Line([-1.0, -2.0]), Line([])] Length: 100, dtype: line[float64] def test_getitem_boolean_na_treated_as_false(self, data): # https://github.com/pandas-dev/pandas/issues/31503 mask = pd.array(np.zeros(data.shape, dtype="bool"), dtype="boolean") mask[:2] = pd.NA mask[2:4] = True > result = data[mask] ../../miniconda3/envs/default/lib/python3.7/site-packages/pandas/tests/extension/base/getitem.py:167: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <LineArray> [ Line([0.0, 1.0]), Line([1.0, 2.0, 3.0, 4.0]), None, Line([-1.0, ... None, Line([-1.0, -2.0]), Line([])] Length: 100, dtype: line[float64] item = <BooleanArray> [ <NA>, <NA>, True, True, False, False, False, False, False, False, False, False, False, False, Fal...alse, False, False, False, False, False, False, False, False, False, False, False, False] Length: 100, dtype: boolean def __getitem__(self, item): err_msg = ("Only integers, slices and integer or boolean" "arrays are valid indices.") if isinstance(item, Integral): item = int(item) if item < -len(self) or item >= len(self): raise IndexError("{item} is out of bounds".format(item=item)) else: # Convert negative item index if item < 0: item += len(self) value = self.data[item].as_py() if value is not None: return self._element_type(value, self.numpy_dtype) else: return None elif isinstance(item, slice): if item.step is None or item.step == 1: # pyarrow only supports slice with step of 1 return self.__class__(self.data[item], dtype=self.dtype) else: selected_indices = np.arange(len(self))[item] return self.take(selected_indices, allow_fill=False) elif isinstance(item, Iterable): if isinstance(item, (np.ndarray, ExtensionArray)): # Leave numpy and pandas arrays alone kind = item.dtype.kind else: item = pd.array(item) kind = item.dtype.kind if len(item) == 0: return self.take([], allow_fill=False) elif kind == 'b': # Check mask length is compatible if len(item) != len(self): raise IndexError( "boolean mask length ({}) doesn't match array length ({})" .format(len(item), len(self)) ) # check for NA values if any(pd.isna(item)): raise ValueError( > "Cannot mask with a boolean indexer containing NA values" ) E ValueError: Cannot mask with a boolean indexer containing NA values spatialpandas/geometry/base.py:385: ValueError
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Fixed in #37.
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The following tests fail with this error:
ValueError: Cannot mask with a boolean indexer containing NA values
TestGeometryGetitem.test_getitem_boolean_na_treated_as_false
TestGeometryGetitem.test_getitem_boolean_na_treated_as_false
Installed packages
The text was updated successfully, but these errors were encountered: