reduce diff

Author: MarcoGorelli

doc/source/whatsnew/v2.0.0.rst

@@ -824,7 +824,6 @@ Datetimelike
 - Bug in :func:`to_datetime` was giving incorrect results when using ``format='%Y%m%d'`` and ``errors='ignore'`` (:issue:`26493`)
 - Bug in :func:`to_datetime` was failing to parse date strings ``'today'`` and ``'now'`` if ``format`` was not ISO8601 (:issue:`50359`)
 - Bug in :func:`to_datetime` was raising ``ValueError`` when parsing mixed-offset :class:`Timestamp` with ``errors='ignore'`` (:issue:`50585`)
-- Bug in :func:`to_datetime` was not returning the input when parsing out-of-bounds ``np.datetime64`` with ``errors='ignore'`` (:issue:`50587`)
 
 Timedelta
 ^^^^^^^^^

pandas/_libs/tslib.pyx

@@ -30,6 +30,7 @@ from pandas._libs.tslibs.np_datetime cimport (
     NPY_DATETIMEUNIT,
     NPY_FR_ns,
     check_dts_bounds,
+    get_datetime64_value,
     npy_datetimestruct,
     npy_datetimestruct_to_datetime,
     pandas_datetime_to_datetimestruct,
@@ -630,6 +631,8 @@ cpdef array_to_datetime(
                 continue
             elif is_raise:
                 raise
+            if isinstance(ex, OutOfBoundsDatetime):
+                return ignore_errors_out_of_bounds_fallback(values), tz_out
             return values, None
 
         except TypeError:
@@ -654,6 +657,46 @@ cpdef array_to_datetime(
     return result, tz_out
 
 
+@cython.wraparound(False)
+@cython.boundscheck(False)
+cdef ndarray[object] ignore_errors_out_of_bounds_fallback(ndarray[object] values):
+    """
+    Fallback for array_to_datetime if an OutOfBoundsDatetime is raised
+    and errors == "ignore"
+
+    Parameters
+    ----------
+    values : ndarray[object]
+
+    Returns
+    -------
+    ndarray[object]
+    """
+    cdef:
+        Py_ssize_t i, n = len(values)
+        object val
+
+    oresult = cnp.PyArray_EMPTY(values.ndim, values.shape, cnp.NPY_OBJECT, 0)
+
+    for i in range(n):
+        val = values[i]
+
+        # set as nan except if its a NaT
+        if checknull_with_nat_and_na(val):
+            if isinstance(val, float):
+                oresult[i] = np.nan
+            else:
+                oresult[i] = NaT
+        elif is_datetime64_object(val):
+            if get_datetime64_value(val) == NPY_NAT:
+                oresult[i] = NaT
+            else:
+                oresult[i] = val.item()
+        else:
+            oresult[i] = val
+    return oresult
+
+
 @cython.wraparound(False)
 @cython.boundscheck(False)
 cdef _array_to_datetime_object(