Backport PR #54894 on branch 2.1.x (MAINT: Reflect changes from numpy namespace refactor Part 5) (#54905)

Backport PR #54894: MAINT: Reflect changes from `numpy` namespace refactor Part 5

Co-authored-by: Mateusz Sokół <[email protected]>

Author: meeseeksmachine

pandas/core/dtypes/missing.py

@@ -285,7 +285,7 @@ def _isna_array(values: ArrayLike, inf_as_na: bool = False):
             # "Union[ndarray[Any, Any], ExtensionArraySupportsAnyAll]", variable has
             # type "ndarray[Any, dtype[bool_]]")
             result = values.isna()  # type: ignore[assignment]
-    elif isinstance(values, np.recarray):
+    elif isinstance(values, np.rec.recarray):
         # GH 48526
         result = _isna_recarray_dtype(values, inf_as_na=inf_as_na)
     elif is_string_or_object_np_dtype(values.dtype):
@@ -332,7 +332,9 @@ def _has_record_inf_value(record_as_array: np.ndarray) -> np.bool_:
     return np.any(is_inf_in_record)
 
 
-def _isna_recarray_dtype(values: np.recarray, inf_as_na: bool) -> npt.NDArray[np.bool_]:
+def _isna_recarray_dtype(
+    values: np.rec.recarray, inf_as_na: bool
+) -> npt.NDArray[np.bool_]:
     result = np.zeros(values.shape, dtype=bool)
     for i, record in enumerate(values):
         record_as_array = np.array(record.tolist())

pandas/core/frame.py

@@ -2402,7 +2402,7 @@ def maybe_reorder(
 
     def to_records(
         self, index: bool = True, column_dtypes=None, index_dtypes=None
-    ) -> np.recarray:
+    ) -> np.rec.recarray:
         """
         Convert DataFrame to a NumPy record array.
 
@@ -2427,15 +2427,15 @@ def to_records(
 
         Returns
         -------
-        numpy.recarray
+        numpy.rec.recarray
             NumPy ndarray with the DataFrame labels as fields and each row
             of the DataFrame as entries.
 
         See Also
         --------
         DataFrame.from_records: Convert structured or record ndarray
             to DataFrame.
-        numpy.recarray: An ndarray that allows field access using
+        numpy.rec.recarray: An ndarray that allows field access using
             attributes, analogous to typed columns in a
             spreadsheet.
 

pandas/core/internals/construction.py

@@ -159,7 +159,7 @@ def arrays_to_mgr(
 
 
 def rec_array_to_mgr(
-    data: np.recarray | np.ndarray,
+    data: np.rec.recarray | np.ndarray,
     index,
     columns,
     dtype: DtypeObj | None,

pandas/io/stata.py

@@ -2961,7 +2961,7 @@ def _convert_strls(self, data: DataFrame) -> DataFrame:
         """No-op, future compatibility"""
         return data
 
-    def _prepare_data(self) -> np.recarray:
+    def _prepare_data(self) -> np.rec.recarray:
         data = self.data
         typlist = self.typlist
         convert_dates = self._convert_dates
@@ -2993,7 +2993,7 @@ def _prepare_data(self) -> np.recarray:
 
         return data.to_records(index=False, column_dtypes=dtypes)
 
-    def _write_data(self, records: np.recarray) -> None:
+    def _write_data(self, records: np.rec.recarray) -> None:
         self._write_bytes(records.tobytes())
 
     @staticmethod

pandas/tests/frame/constructors/test_from_records.py

@@ -93,7 +93,7 @@ def test_from_records_sequencelike(self):
                 tup.extend(b.iloc[i].values)
             tuples.append(tuple(tup))
 
-        recarray = np.array(tuples, dtype=dtypes).view(np.recarray)
+        recarray = np.array(tuples, dtype=dtypes).view(np.rec.recarray)
         recarray2 = df.to_records()
         lists = [list(x) for x in tuples]
 

pandas/tests/frame/methods/test_to_records.py

@@ -391,7 +391,7 @@ def test_to_records_dtype(self, kwargs, expected):
         # see GH#18146
         df = DataFrame({"A": [1, 2], "B": [0.2, 1.5], "C": ["a", "bc"]})
 
-        if not isinstance(expected, np.recarray):
+        if not isinstance(expected, np.rec.recarray):
             with pytest.raises(expected[0], match=expected[1]):
                 df.to_records(**kwargs)
         else: