Fix "a array" misspelling

doc/get-help/howdoi.rst

@@ -69,7 +69,7 @@ How do I ...
      - ``obj.dt.month`` for example where ``obj`` is a :py:class:`~xarray.DataArray` containing ``datetime64`` or ``cftime`` values. See :ref:`dt_accessor` for more.
    * - round off time values to a specified frequency
      - ``obj.dt.ceil``, ``obj.dt.floor``, ``obj.dt.round``. See :ref:`dt_accessor` for more.
-   * - make a mask that is ``True`` where an object contains any of the values in a array
+   * - make a mask that is ``True`` where an object contains any of the values in an array
      - :py:meth:`Dataset.isin`, :py:meth:`DataArray.isin`
    * - Index using a boolean mask
      - :py:meth:`Dataset.query`, :py:meth:`DataArray.query`, :py:meth:`Dataset.where`, :py:meth:`DataArray.where`

xarray/core/common.py

@@ -2084,7 +2084,7 @@ def is_np_timedelta_like(dtype: DTypeLike) -> bool:
 
 
 def _contains_cftime_datetimes(array: Any) -> bool:
-    """Check if a array inside a Variable contains cftime.datetime objects"""
+    """Check if an array inside a Variable contains cftime.datetime objects"""
     if cftime is None:
         return False
 

xarray/core/duck_array_ops.py

@@ -251,7 +251,7 @@
 
     if xp == np:
         # numpy currently doesn't have a astype:
         return data.astype(dtype, **kwargs)
     return xp.astype(data, dtype, **kwargs)
 
 
@@ -268,7 +268,7 @@
 
 
 def as_shared_dtype(scalars_or_arrays, xp=None):
-    """Cast a arrays to a shared dtype using xarray's type promotion rules."""
+    """Cast arrays to a shared dtype using xarray's type promotion rules."""
     if any(is_extension_array_dtype(x) for x in scalars_or_arrays):
         extension_array_types = [
             x.dtype for x in scalars_or_arrays if is_extension_array_dtype(x)