wait, we can remove require_iso8601 now? neeeeeeaat

Author: MarcoGorelli

pandas/_libs/tslib.pyi

@@ -23,9 +23,6 @@ def array_to_datetime(
     dayfirst: bool = ...,
     yearfirst: bool = ...,
     utc: bool = ...,
-    require_iso8601: bool = ...,
-    format: str | None = ...,
-    exact: bool = ...,
 ) -> tuple[np.ndarray, tzinfo | None]: ...
 
 # returned ndarray may be object dtype or datetime64[ns]

pandas/_libs/tslib.pyx

@@ -409,7 +409,6 @@ cpdef array_to_datetime(
     bint dayfirst=False,
     bint yearfirst=False,
     bint utc=False,
-    bint require_iso8601=False,
 ):
     """
     Converts a 1D array of date-like values to a numpy array of either:
@@ -436,8 +435,6 @@ cpdef array_to_datetime(
          yearfirst parsing behavior when encountering datetime strings
     utc : bool, default False
          indicator whether the dates should be UTC
-    require_iso8601 : bool, default False
-         indicator whether the datetime string should be iso8601
 
     Returns
     -------
@@ -508,16 +505,6 @@ cpdef array_to_datetime(
                     iresult[i] = get_datetime64_nanos(val, NPY_FR_ns)
 
                 elif is_integer_object(val) or is_float_object(val):
-                    if require_iso8601:
-                        if is_coerce:
-                            iresult[i] = NPY_NAT
-                            continue
-                        elif is_raise:
-                            raise ValueError(
-                                f"time data \"{val}\" at position {i} doesn't "
-                                f"match ISO8601 standard"
-                            )
-                        return values, tz_out
                     # these must be ns unit by-definition
                     seen_integer = True
 
@@ -555,18 +542,6 @@ cpdef array_to_datetime(
                         # specifically _not_ OutOfBoundsDatetime
                         if _parse_today_now(val, &iresult[i], utc):
                             continue
-                        elif require_iso8601:
-                            # if requiring iso8601 strings, skip trying
-                            # other formats
-                            if is_coerce:
-                                iresult[i] = NPY_NAT
-                                continue
-                            elif is_raise:
-                                raise ValueError(
-                                    f"time data \"{val}\" at position {i} doesn't "
-                                    f"match format \"{format}\""
-                                )
-                            return values, tz_out
 
                         try:
                             py_dt = parse_datetime_string(val,
@@ -629,18 +604,6 @@ cpdef array_to_datetime(
                 if is_coerce:
                     iresult[i] = NPY_NAT
                     continue
-                elif require_iso8601 and isinstance(val, str):
-                    # GH#19382 for just-barely-OutOfBounds falling back to
-                    # dateutil parser will return incorrect result because
-                    # it will ignore nanoseconds
-                    if is_raise:
-
-                        # Still raise OutOfBoundsDatetime,
-                        # as error message is informative.
-                        raise
-
-                    assert is_ignore
-                    return values, tz_out
                 raise
 
     except OutOfBoundsDatetime:

pandas/core/arrays/datetimes.py

@@ -2118,7 +2118,6 @@ def objects_to_datetime64ns(
     yearfirst,
     utc: bool = False,
     errors: DateTimeErrorChoices = "raise",
-    require_iso8601: bool = False,
     allow_object: bool = False,
 ):
     """
@@ -2132,7 +2131,6 @@ def objects_to_datetime64ns(
     utc : bool, default False
         Whether to convert/localize timestamps to UTC.
     errors : {'raise', 'ignore', 'coerce'}
-    require_iso8601 : bool, default False
     allow_object : bool
         Whether to return an object-dtype ndarray instead of raising if the
         data contains more than one timezone.
@@ -2163,7 +2161,6 @@ def objects_to_datetime64ns(
             utc=utc,
             dayfirst=dayfirst,
             yearfirst=yearfirst,
-            require_iso8601=require_iso8601,
         )
         result = result.reshape(data.shape, order=order)
     except OverflowError as err: