Check for path-like objects rather than Path type, use os.fspath

Author: mwtoews

xarray/backends/api.py

@@ -2,7 +2,6 @@
 from glob import glob
 from io import BytesIO
 from numbers import Number
-from pathlib import Path
 from typing import (
     TYPE_CHECKING,
     Callable,
@@ -808,7 +807,7 @@ def open_mfdataset(
         - "override": if indexes are of same size, rewrite indexes to be
           those of the first object with that dimension. Indexes for the same
           dimension must have the same size in all objects.
-    attrs_file : str or pathlib.Path, optional
+    attrs_file : str or path-like, optional
         Path of the file used to read global attributes from.
         By default global attributes are read from the first file provided,
         with wildcard matches sorted by filename.
@@ -866,7 +865,7 @@ def open_mfdataset(
         else:
             paths = sorted(glob(_normalize_path(paths)))
     else:
-        paths = [str(p) if isinstance(p, Path) else p for p in paths]
+        paths = [os.fspath(p) if isinstance(p, os.PathLike) else p for p in paths]
 
     if not paths:
         raise OSError("no files to open")
@@ -958,8 +957,8 @@ def multi_file_closer():
 
     # read global attributes from the attrs_file or from the first dataset
     if attrs_file is not None:
-        if isinstance(attrs_file, Path):
-            attrs_file = str(attrs_file)
+        if isinstance(attrs_file, os.PathLike):
+            attrs_file = os.fspath(attrs_file)
         combined.attrs = datasets[paths.index(attrs_file)].attrs
 
     return combined
@@ -992,8 +991,8 @@ def to_netcdf(
 
     The ``multifile`` argument is only for the private use of save_mfdataset.
     """
-    if isinstance(path_or_file, Path):
-        path_or_file = str(path_or_file)
+    if isinstance(path_or_file, os.PathLike):
+        path_or_file = os.fspath(path_or_file)
 
     if encoding is None:
         encoding = {}
@@ -1134,7 +1133,7 @@ def save_mfdataset(
     ----------
     datasets : list of Dataset
         List of datasets to save.
-    paths : list of str or list of Path
+    paths : list of str or list of path-like objects
         List of paths to which to save each corresponding dataset.
     mode : {"w", "a"}, optional
         Write ("w") or append ("a") mode. If mode="w", any existing file at
@@ -1302,7 +1301,7 @@ def check_dtype(var):
 
 def to_zarr(
     dataset: Dataset,
-    store: Union[MutableMapping, str, Path] = None,
+    store: Union[MutableMapping, str, os.PathLike] = None,
     chunk_store=None,
     mode: str = None,
     synchronizer=None,
@@ -1326,7 +1325,7 @@ def to_zarr(
         if v.size == 0:
             v.load()
 
-    # expand str and Path arguments
+    # expand str and path-like arguments
     store = _normalize_path(store)
     chunk_store = _normalize_path(chunk_store)
 

xarray/backends/common.py

@@ -1,8 +1,7 @@
 import logging
-import os.path
+import os
 import time
 import traceback
-from pathlib import Path
 from typing import Any, Dict, Tuple, Type, Union
 
 import numpy as np
@@ -20,8 +19,8 @@
 
 
 def _normalize_path(path):
-    if isinstance(path, Path):
-        path = str(path)
+    if isinstance(path, os.PathLike):
+        path = os.fspath(path)
 
     if isinstance(path, str) and not is_remote_uri(path):
         path = os.path.abspath(os.path.expanduser(path))

xarray/backends/netCDF4_.py

@@ -1,7 +1,6 @@
 import functools
 import operator
 import os
-import pathlib
 from contextlib import suppress
 
 import numpy as np
@@ -346,7 +345,7 @@ def open(
         autoclose=False,
     ):
 
-        if isinstance(filename, pathlib.Path):
+        if isinstance(filename, os.PathLike):
             filename = os.fspath(filename)
 
         if not isinstance(filename, str):

xarray/backends/zarr.py

@@ -1,5 +1,4 @@
 import os
-import pathlib
 import warnings
 from distutils.version import LooseVersion
 
@@ -346,7 +345,7 @@ def open_group(
     ):
 
         # zarr doesn't support pathlib.Path objects yet. zarr-python#601
-        if isinstance(store, pathlib.Path):
+        if isinstance(store, os.PathLike):
             store = os.fspath(store)
 
         open_kwargs = dict(

xarray/core/dataset.py

@@ -7,7 +7,7 @@
 from html import escape
 from numbers import Number
 from operator import methodcaller
-from pathlib import Path
+from os import PathLike
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -1827,7 +1827,7 @@ def to_netcdf(
 
         Parameters
         ----------
-        path : str, Path or file-like, optional
+        path : str, path-like or file-like, optional
             Path to which to save this dataset. File-like objects are only
             supported by the scipy engine. If no path is provided, this
             function returns the resulting netCDF file as bytes; in this case,
@@ -1909,8 +1909,8 @@ def to_netcdf(
 
     def to_zarr(
         self,
-        store: Union[MutableMapping, str, Path] = None,
-        chunk_store: Union[MutableMapping, str, Path] = None,
+        store: Union[MutableMapping, str, PathLike] = None,
+        chunk_store: Union[MutableMapping, str, PathLike] = None,
         mode: str = None,
         synchronizer=None,
         group: str = None,
@@ -1939,9 +1939,9 @@ def to_zarr(
 
         Parameters
         ----------
-        store : MutableMapping, str or Path, optional
+        store : MutableMapping, str or path-like, optional
             Store or path to directory in local or remote file system.
-        chunk_store : MutableMapping, str or Path, optional
+        chunk_store : MutableMapping, str or path-like, optional
             Store or path to directory in local or remote file system only for Zarr
             array chunks. Requires zarr-python v2.4.0 or later.
         mode : {"w", "w-", "a", "r+", None}, optional

xarray/tutorial.py

@@ -23,7 +23,7 @@
 def _construct_cache_dir(path):
     import pooch
 
-    if isinstance(path, pathlib.Path):
+    if isinstance(path, os.PathLike):
         path = os.fspath(path)
     elif path is None:
         path = pooch.os_cache(_default_cache_dir_name)