Guard against IntegerArray + cleanups

Author: topper-123

doc/source/whatsnew/v0.25.0.rst

@@ -63,8 +63,8 @@ Performance Improvements
 
 - Significant speedup in `SparseArray` initialization that benefits most operations, fixing performance regression introduced in v0.20.0 (:issue:`24985`)
 - `DataFrame.to_stata()` is now faster when outputting data with any string or non-native endian columns (:issue:`25045`)
-- Improved performance of :meth:`Series.searchsorted`. The speedup is especially large when the dtype is int8/int16/int32 and the searched key is within
-  the integer bounds for the dtype(:issue:`22034`)
+- Improved performance of :meth:`Series.searchsorted`. The speedup is especially large when the dtype is
+  int8/int16/int32 and the searched key is within the integer bounds for the dtype(:issue:`22034`)
 
 
 .. _whatsnew_0250.bug_fixes:

pandas/core/algorithms.py

@@ -1724,9 +1724,9 @@ def func(arr, indexer, out, fill_value=np.nan):
     return out
 
 
-# ---- #
+# ------------ #
 # searchsorted #
-# ---- #
+# ------------ #
 
 def searchsorted(arr, value, side="left", sorter=None):
     """
@@ -1774,7 +1774,7 @@ def searchsorted(arr, value, side="left", sorter=None):
     if sorter is not None:
         sorter = ensure_platform_int(sorter)
 
-    if is_integer_dtype(arr) and (
+    if isinstance(arr, np.ndarray) and is_integer_dtype(arr) and (
             is_integer(value) or is_integer_dtype(value)):
         from .arrays.array_ import array
         # if `arr` and `value` have different dtypes, `arr` would be

pandas/core/common.py

@@ -12,6 +12,7 @@
 import numpy as np
 
 from pandas._libs import lib, tslibs
+import pandas.compat as compat
 from pandas.compat import PY36, OrderedDict, iteritems
 
 from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
@@ -21,8 +22,6 @@
 from pandas.core.dtypes.inference import _iterable_not_string
 from pandas.core.dtypes.missing import isna, isnull, notnull  # noqa
 
-from pandas import compat
-
 
 class SettingWithCopyError(ValueError):
     pass