TYP: annotate to_numpy

pandas/core/arrays/base.py

@@ -356,7 +356,9 @@ def __iter__(self):
         for i in range(len(self)):
             yield self[i]
 
-    def to_numpy(self, dtype=None, copy=False, na_value=lib.no_default):
+    def to_numpy(
+        self, dtype=None, copy: bool = False, na_value=lib.no_default
+    ) -> np.ndarray:
         """
         Convert to a NumPy ndarray.
 

pandas/core/arrays/numpy_.py

@@ -435,7 +435,10 @@ def skew(self, axis=None, dtype=None, out=None, keepdims=False, skipna=True):
 
     # ------------------------------------------------------------------------
     # Additional Methods
-    def to_numpy(self, dtype=None, copy=False, na_value=lib.no_default):
+
+    def to_numpy(
+        self, dtype=None, copy: bool = False, na_value=lib.no_default
+    ) -> np.ndarray:
         result = np.asarray(self._ndarray, dtype=dtype)
 
         if (copy or na_value is not lib.no_default) and result is self._ndarray:

pandas/core/frame.py

@@ -1253,7 +1253,7 @@ def from_dict(cls, data, orient="columns", dtype=None, columns=None) -> "DataFra
 
         return cls(data, index=index, columns=columns, dtype=dtype)
 
-    def to_numpy(self, dtype=None, copy=False) -> np.ndarray:
+    def to_numpy(self, dtype=None, copy: bool = False) -> np.ndarray:
         """
         Convert the DataFrame to a NumPy array.
 

pandas/tests/extension/decimal/array.py

@@ -79,7 +79,9 @@ def _from_factorized(cls, values, original):
 
     _HANDLED_TYPES = (decimal.Decimal, numbers.Number, np.ndarray)
 
-    def to_numpy(self, dtype=None, copy=False, na_value=no_default, decimals=None):
+    def to_numpy(
+        self, dtype=None, copy: bool = False, na_value=no_default, decimals=None
+    ) -> np.ndarray:
         result = np.asarray(self, dtype=dtype)
         if decimals is not None:
             result = np.asarray([round(x, decimals) for x in result])