use strings to specify the dtype for backwards compat

pydata · keewis · Mar 13, 2025 · Mar 2, 2025 · Mar 4, 2025 · Mar 4, 2025
commit 56b254df13f7573e1a9d3fdfcac97a6c26108e5f
diff --git a/xarray/core/duck_array_ops.py b/xarray/core/duck_array_ops.py
@@ -233,7 +233,7 @@

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


@@ -378,9 +378,9 @@
     xp = get_array_namespace(condition, x, y)
 
     if not is_duck_array(condition):
-        condition = asarray(condition, dtype=xp.bool, xp=xp)
+        condition = asarray(condition, dtype="bool", xp=xp)
     else:
-        condition = astype(condition, dtype=xp.bool, xp=xp)
+        condition = astype(condition, dtype="bool", xp=xp)
 
     return xp.where(condition, *as_shared_dtype([x, y], xp=xp))