fixup

Author: TomAugspurger

pandas/core/arrays/array_.py

@@ -132,6 +132,16 @@ def array(data,         # type: Sequence[object]
     rather than a ``PandasArray``. This is for symmetry with the case of
     timezone-aware data, which NumPy does not natively support.
 
+    >>> pd.array(['2015', '2016'], dtype='datetime64[ns]')
+    <DatetimeArray>
+    ['2015-01-01 00:00:00', '2016-01-01 00:00:00']
+    Length: 2, dtype: datetime64[ns]
+
+    >>> pd.array(["1H", "2H"], dtype='timedelta64[ns]')
+    <TimedeltaArray>
+    ['01:00:00', '02:00:00']
+    Length: 2, dtype: timedelta64[ns]
+
     Examples
     --------
     If a dtype is not specified, `data` is passed through to
@@ -257,7 +267,7 @@ def array(data,         # type: Sequence[object]
     # so that a DatetimeArray is returned.
     if is_datetime64_ns_dtype(dtype):
         return DatetimeArray._from_sequence(data, dtype=dtype, copy=copy)
-    if is_timedelta64_ns_dtype(dtype):
+    elif is_timedelta64_ns_dtype(dtype):
         return TimedeltaArray._from_sequence(data, dtype=dtype, copy=copy)
 
     result = PandasArray._from_sequence(data, dtype=dtype, copy=copy)