Merge branch 'master' of https://github.com/pandas-dev/pandas into en…

…h-ei

pandas/core/indexes/base.py

@@ -309,11 +309,12 @@ def __new__(
             if klass is not Index:
                 return klass(data, dtype=dtype, copy=copy, name=name, **kwargs)
 
+            from pandas.core.indexes.extension import ExtensionIndex
+
             ea_cls = dtype.construct_array_type()
             data = ea_cls._from_sequence(data, dtype=dtype, copy=copy)
-            data = np.asarray(data, dtype=object)
             disallow_kwargs(kwargs)
-            return Index._simple_new(data, name=name)
+            return ExtensionIndex._simple_new(data, name=name)
 
         elif is_ea_or_datetimelike_dtype(data_dtype):
             klass = cls._dtype_to_subclass(data_dtype)
@@ -323,45 +324,14 @@ def __new__(
                     return result.astype(dtype, copy=False)
                 return result
 
-            return _maybe_asobject(dtype, IntervalIndex, data, copy, name, **kwargs)
-
-        elif is_datetime64_any_dtype(data_dtype) or is_datetime64_any_dtype(dtype):
-            # Delay import for perf. https://github.com/pandas-dev/pandas/pull/31423
-            from pandas import DatetimeIndex
-
-            return _maybe_asobject(dtype, DatetimeIndex, data, copy, name, **kwargs)
-
-        elif is_timedelta64_dtype(data_dtype) or is_timedelta64_dtype(dtype):
-            # Delay import for perf. https://github.com/pandas-dev/pandas/pull/31423
-            from pandas import TimedeltaIndex
-
-            return _maybe_asobject(dtype, TimedeltaIndex, data, copy, name, **kwargs)
-
-        elif is_period_dtype(data_dtype) or is_period_dtype(dtype):
-            # Delay import for perf. https://github.com/pandas-dev/pandas/pull/31423
-            from pandas import PeriodIndex
-
-            return _maybe_asobject(dtype, PeriodIndex, data, copy, name, **kwargs)
-
-        # extension dtype
-        elif is_extension_array_dtype(data_dtype) or is_extension_array_dtype(dtype):
-            if not (dtype is None or is_object_dtype(dtype)):
-                # coerce to the provided dtype
-                ea_cls = dtype.construct_array_type()
-                data = ea_cls._from_sequence(data, dtype=dtype, copy=False)
-            else:
-                data = extract_array(data, extract_numpy=True)
-                if type(data).__name__ == "PandasArray":
-                    # We're doing the test that patches PandasArray to not be
-                    #  recognized as EA
-                    data = data._ndarray
-                    return Index(data, dtype=object, copy=copy, name=name, **kwargs)
+            disallow_kwargs(kwargs)
+            if data_dtype == object:
+                data = np.array(data, dtype=object, copy=copy)
+                return Index._simple_new(data, name=name)
 
             from pandas.core.indexes.extension import ExtensionIndex
 
-            obj = ExtensionIndex._simple_new(data, name=name)
-            #  TODO: need to handle maybe_asobject
-            return obj
+            return ExtensionIndex._simple_new(data, name=name)  # TODO: copy?
 
         # index-like
         elif isinstance(data, (np.ndarray, Index, ABCSeries)):

pandas/core/indexes/extension.py

@@ -6,7 +6,6 @@
 import numpy as np
 
 from pandas._libs import index as libindex, lib
-from pandas._typing import Label
 from pandas.compat.numpy import function as nv
 from pandas.errors import AbstractMethodError
 from pandas.util._decorators import cache_readonly, doc
@@ -279,12 +278,7 @@ def _check_indexing_method(self, method):
         if method is None:
             return
 
-        if method in ["bfill", "backfill", "pad", "ffill", "nearest"]:
-            raise NotImplementedError(
-                f"method {method} not yet implemented for {type(self).__name__}"
-            )
-
-        raise ValueError("Invalid fill method")
+    # ---------------------------------------------------------------------
 
     def _get_engine_target(self) -> np.ndarray:
         return np.asarray(self._data)

pandas/tests/arrays/integer/test_dtypes.py

@@ -68,7 +68,7 @@ def test_construct_index(all_data, dropna):
     else:
         other = all_data
 
-    arr = integer_array(other, dtype=all_data.dtype)
+    arr = pd.array(other, dtype=all_data.dtype)
     result = pd.Index(arr)
     expected = pd.core.indexes.extension.ExtensionIndex._simple_new(arr)
 

pandas/tests/groupby/test_function.py

@@ -1107,7 +1107,7 @@ def test_apply_to_nullable_integer_returns_float(values, function):
     idx = Index(pd_array([1, 2, 3]), name="a")
     assert isinstance(idx, ExtensionIndex)
     assert idx.dtype == "Int64"
-    expected = DataFrame({"b": arr}, index=idx)
+    expected = DataFrame({"b": arr}, index=idx).astype("Float64")
 
     groups = DataFrame(values, dtype="Int64").groupby("a")