CLN: remove arrmap, closes #27251

pandas/_libs/algos.pyx

@@ -674,31 +674,6 @@ def backfill_2d_inplace(algos_t[:, :] values,
                 val = values[j, i]
 
 
-@cython.wraparound(False)
-@cython.boundscheck(False)
-def arrmap(algos_t[:] index, object func):
-    cdef:
-        Py_ssize_t length = index.shape[0]
-        Py_ssize_t i = 0
-        ndarray[object] result = np.empty(length, dtype=np.object_)
-
-    from pandas._libs.lib import maybe_convert_objects
-
-    for i in range(length):
-        result[i] = func(index[i])
-
-    return maybe_convert_objects(result)
-
-
-arrmap_float64 = arrmap["float64_t"]
-arrmap_float32 = arrmap["float32_t"]
-arrmap_object = arrmap["object"]
-arrmap_int64 = arrmap["int64_t"]
-arrmap_int32 = arrmap["int32_t"]
-arrmap_uint64 = arrmap["uint64_t"]
-arrmap_bool = arrmap["uint8_t"]
-
-
 @cython.boundscheck(False)
 @cython.wraparound(False)
 def is_monotonic(ndarray[algos_t, ndim=1] arr, bint timelike):

pandas/core/algorithms.py

@@ -1100,7 +1100,9 @@ def _get_score(at):
         return _get_score(q)
     else:
         q = np.asarray(q, np.float64)
-        return algos.arrmap_float64(q, _get_score)
+        result = [_get_score(x) for x in q]
+        result = np.array(result, dtype=np.float64)
+        return result
 
 
 # --------------- #

pandas/tests/test_algos.py

@@ -1685,12 +1685,6 @@ def test_pad_backfill_object_segfault():
     tm.assert_numpy_array_equal(result, expected)
 
 
-def test_arrmap():
-    values = np.array(["foo", "foo", "bar", "bar", "baz", "qux"], dtype="O")
-    result = libalgos.arrmap_object(values, lambda x: x in ["foo", "bar"])
-    assert result.dtype == np.bool_
-
-
 class TestTseriesUtil:
     def test_combineFunc(self):
         pass