pydata · TomNicholas · Mar 29, 2025
diff --git a/doc/user-guide/io.rst b/doc/user-guide/io.rst
@@ -1451,11 +1451,3 @@ For CSV files, one might also consider `xarray_extras`_.
 .. _xarray_extras: https://xarray-extras.readthedocs.io/en/latest/api/csv.html
 
 .. _IO tools: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html
-
-
-Third party libraries
----------------------
-
-More formats are supported by extension libraries:
-
-- `xarray-mongodb <https://xarray-mongodb.readthedocs.io/en/latest/>`_: Store xarray objects on MongoDB
diff --git a/xarray/core/duck_array_ops.py b/xarray/core/duck_array_ops.py

    if xp == np:
        # numpy currently doesn't have a astype:
        return data.astype(dtype, **kwargs)
    return xp.astype(data, dtype, **kwargs)


diff --git a/xarray/coding/variables.py b/xarray/coding/variables.py
            # otherwise numpy unsigned ints will silently cast to the signed counterpart
            fill_value = fill_value.item()
        # passes if provided fill value fits in encoded on-disk type
        new_fill = encoded_dtype.type(fill_value)
    except OverflowError:
        encoded_kind_str = "signed" if encoded_dtype.kind == "i" else "unsigned"
        warnings.warn(

	if xp == np:
	# numpy currently doesn't have a astype:
	return data.astype(dtype, **kwargs)
Check warning on line 237 in xarray/core/duck_array_ops.py GitHub Actions / macos-latest py3.10 `invalid value encountered in cast` Check warning on line 237 in xarray/core/duck_array_ops.py GitHub Actions / macos-latest py3.10 `invalid value encountered in cast` Check warning on line 237 in xarray/core/duck_array_ops.py GitHub Actions / ubuntu-latest py3.10 `invalid value encountered in cast` Check warning on line 237 in xarray/core/duck_array_ops.py GitHub Actions / ubuntu-latest py3.10 `invalid value encountered in cast` Check warning on line 237 in xarray/core/duck_array_ops.py GitHub Actions / windows-latest py3.10 `invalid value encountered in cast` Check warning on line 237 in xarray/core/duck_array_ops.py GitHub Actions / windows-latest py3.10 `invalid value encountered in cast`
	return xp.astype(data, dtype, **kwargs)
	# otherwise numpy unsigned ints will silently cast to the signed counterpart
	fill_value = fill_value.item()
	# passes if provided fill value fits in encoded on-disk type
	new_fill = encoded_dtype.type(fill_value)
Check warning on line 237 in xarray/coding/variables.py GitHub Actions / ubuntu-latest py3.10 min-all-deps NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future. For the old behavior, usually: np.array(value).astype(dtype)` will give the desired result (the cast overflows). Check warning on line 237 in xarray/coding/variables.py GitHub Actions / ubuntu-latest py3.10 min-all-deps NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future. For the old behavior, usually: np.array(value).astype(dtype)` will give the desired result (the cast overflows). Check warning on line 237 in xarray/coding/variables.py GitHub Actions / ubuntu-latest py3.10 min-all-deps NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future. For the old behavior, usually: np.array(value).astype(dtype)` will give the desired result (the cast overflows). Check warning on line 237 in xarray/coding/variables.py GitHub Actions / ubuntu-latest py3.10 min-all-deps NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future. For the old behavior, usually: np.array(value).astype(dtype)` will give the desired result (the cast overflows). Check warning on line 237 in xarray/coding/variables.py GitHub Actions / ubuntu-latest py3.10 min-all-deps NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future. For the old behavior, usually: np.array(value).astype(dtype)` will give the desired result (the cast overflows). Check warning on line 237 in xarray/coding/variables.py GitHub Actions / ubuntu-latest py3.10 min-all-deps NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future. For the old behavior, usually: np.array(value).astype(dtype)` will give the desired result (the cast overflows). Check warning on line 237 in xarray/coding/variables.py GitHub Actions / ubuntu-latest py3.10 min-all-deps NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future. For the old behavior, usually: np.array(value).astype(dtype)` will give the desired result (the cast overflows). Check warning on line 237 in xarray/coding/variables.py GitHub Actions / ubuntu-latest py3.10 min-all-deps NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future. For the old behavior, usually: np.array(value).astype(dtype)` will give the desired result (the cast overflows). Check warning on line 237 in xarray/coding/variables.py GitHub Actions / ubuntu-latest py3.10 min-all-deps NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future. For the old behavior, usually: np.array(value).astype(dtype)` will give the desired result (the cast overflows). Check warning on line 237 in xarray/coding/variables.py GitHub Actions / ubuntu-latest py3.10 min-all-deps NumPy will stop allowing conversion of out-of-bound Python integers to integer arrays. The conversion of 255 to int8 will fail in the future. For the old behavior, usually: np.array(value).astype(dtype)` will give the desired result (the cast overflows).
	except OverflowError:
	encoded_kind_str = "signed" if encoded_dtype.kind == "i" else "unsigned"
	warnings.warn(