REF: pass dtype explicitly to _from_sequence inside pd.array (#59773)

REF: pass dtype explicitly to _from_sequence

Author: jbrockmendel

pandas/core/construction.py

@@ -358,15 +358,17 @@ def array(
             return cls._from_sequence(data, dtype=dtype, copy=copy)
 
         elif data.dtype.kind in "iu":
-            return IntegerArray._from_sequence(data, copy=copy)
+            dtype = IntegerArray._dtype_cls._get_dtype_mapping()[data.dtype]
+            return IntegerArray._from_sequence(data, dtype=dtype, copy=copy)
         elif data.dtype.kind == "f":
             # GH#44715 Exclude np.float16 bc FloatingArray does not support it;
             #  we will fall back to NumpyExtensionArray.
             if data.dtype == np.float16:
                 return NumpyExtensionArray._from_sequence(
                     data, dtype=data.dtype, copy=copy
                 )
-            return FloatingArray._from_sequence(data, copy=copy)
+            dtype = FloatingArray._dtype_cls._get_dtype_mapping()[data.dtype]
+            return FloatingArray._from_sequence(data, dtype=dtype, copy=copy)
 
         elif data.dtype.kind == "b":
             return BooleanArray._from_sequence(data, dtype="boolean", copy=copy)

pandas/tests/extension/base/methods.py

@@ -549,7 +549,7 @@ def _test_searchsorted_bool_dtypes(self, data_for_sorting, as_series):
         dtype = data_for_sorting.dtype
         data_for_sorting = pd.array([True, False], dtype=dtype)
         b, a = data_for_sorting
-        arr = type(data_for_sorting)._from_sequence([a, b])
+        arr = type(data_for_sorting)._from_sequence([a, b], dtype=dtype)
 
         if as_series:
             arr = pd.Series(arr)