OrderedDict --> dict, some python3.5 cleanup too

doc/data-structures.rst

@@ -23,7 +23,7 @@ multi-dimensional array. It has several key properties:
 - ``coords``: a dict-like container of arrays (*coordinates*) that label each
   point (e.g., 1-dimensional arrays of numbers, datetime objects or
   strings)
-- ``attrs``: an ``OrderedDict`` to hold arbitrary metadata (*attributes*)
+- ``attrs``: :py:class:`dict` to hold arbitrary metadata (*attributes*)
 
 xarray uses ``dims`` and ``coords`` to enable its core metadata aware operations.
 Dimensions provide names that xarray uses instead of the ``axis`` argument found
@@ -32,10 +32,10 @@ alignment, building on the functionality of the ``index`` found on a pandas
 :py:class:`~pandas.DataFrame` or :py:class:`~pandas.Series`.
 
 DataArray objects also can have a ``name`` and can hold arbitrary metadata in
-the form of their ``attrs`` property (an ordered dictionary). Names and
-attributes are strictly for users and user-written code: xarray makes no attempt
-to interpret them, and propagates them only in unambiguous cases (see FAQ,
-:ref:`approach to metadata`).
+the form of their ``attrs`` property. Names and attributes are strictly for
+users and user-written code: xarray makes no attempt to interpret them, and
+propagates them only in unambiguous cases
+(see FAQ, :ref:`approach to metadata`).
 
 .. _creating a dataarray:
 
@@ -222,7 +222,7 @@ to access any variable in a dataset, datasets have four key properties:
 - ``data_vars``: a dict-like container of DataArrays corresponding to variables
 - ``coords``: another dict-like container of DataArrays intended to label points
   used in ``data_vars`` (e.g., arrays of numbers, datetime objects or strings)
-- ``attrs``: an ``OrderedDict`` to hold arbitrary metadata
+- ``attrs``: :py:class:`dict` to hold arbitrary metadata
 
 The distinction between whether a variables falls in data or coordinates
 (borrowed from `CF conventions`_) is mostly semantic, and you can probably get

doc/whats-new.rst

@@ -46,6 +46,14 @@ Breaking changes
   It was unused and doesn't make sense for a Variable.
   (:pull:`3375`) by `Guido Imperiale <https://github.com/crusaderky>`_.
 
+- Remove internal usage of `collections.OrderedDict`. After dropping support for
+  Python <=3.5, most uses of `OrderedDict` in Xarray were no longer necessary. We
+  have removed the internal use of the `OrderedDict` in favor of Python's builtin
+  `dict` object which is now ordered itself. This change will be most obvious when
+  interacting with the `attrs` property on the Dataset and DataArray objects.
+
+  (:issue:`3380`, :issue:`3389`). By `Joe Hamman <https://github.com/jhamman>`_.
+
 New functions/methods
 ~~~~~~~~~~~~~~~~~~~~~
 

xarray/backends/cfgrib_.py

@@ -2,7 +2,7 @@
 
 from .. import Variable
 from ..core import indexing
-from ..core.utils import Frozen, FrozenOrderedDict
+from ..core.utils import Frozen, FrozenDict
 from .common import AbstractDataStore, BackendArray
 from .locks import SerializableLock, ensure_lock
 
@@ -55,7 +55,7 @@ def open_store_variable(self, name, var):
         return Variable(var.dimensions, data, var.attributes, encoding)
 
     def get_variables(self):
-        return FrozenOrderedDict(
+        return FrozenDict(
             (k, self.open_store_variable(k, v)) for k, v in self.ds.variables.items()
         )
 

xarray/backends/common.py

@@ -2,15 +2,14 @@
 import time
 import traceback
 import warnings
-from collections import OrderedDict
 from collections.abc import Mapping
 
 import numpy as np
 
 from ..conventions import cf_encoder
 from ..core import indexing
 from ..core.pycompat import dask_array_type
-from ..core.utils import FrozenOrderedDict, NdimSizeLenMixin
+from ..core.utils import FrozenDict, NdimSizeLenMixin
 
 # Create a logger object, but don't add any handlers. Leave that to user code.
 logger = logging.getLogger(__name__)
@@ -120,10 +119,10 @@ def load(self):
         This function will be called anytime variables or attributes
         are requested, so care should be taken to make sure its fast.
         """
-        variables = FrozenOrderedDict(
+        variables = FrozenDict(
             (_decode_variable_name(k), v) for k, v in self.get_variables().items()
         )
-        attributes = FrozenOrderedDict(self.get_attrs())
+        attributes = FrozenDict(self.get_attrs())
         return variables, attributes
 
     @property
@@ -230,12 +229,8 @@ def encode(self, variables, attributes):
         attributes : dict-like
 
         """
-        variables = OrderedDict(
-            [(k, self.encode_variable(v)) for k, v in variables.items()]
-        )
-        attributes = OrderedDict(
-            [(k, self.encode_attribute(v)) for k, v in attributes.items()]
-        )
+        variables = {k: self.encode_variable(v) for k, v in variables.items()}
+        attributes = {k: self.encode_attribute(v) for k, v in attributes.items()}
         return variables, attributes
 
     def encode_variable(self, v):
@@ -361,7 +356,7 @@ def set_dimensions(self, variables, unlimited_dims=None):
 
         existing_dims = self.get_dimensions()
 
-        dims = OrderedDict()
+        dims = {}
         for v in unlimited_dims:  # put unlimited_dims first
             dims[v] = None
         for v in variables.values():
@@ -385,10 +380,6 @@ def encode(self, variables, attributes):
         # All NetCDF files get CF encoded by default, without this attempting
         # to write times, for example, would fail.
         variables, attributes = cf_encoder(variables, attributes)
-        variables = OrderedDict(
-            [(k, self.encode_variable(v)) for k, v in variables.items()]
-        )
-        attributes = OrderedDict(
-            [(k, self.encode_attribute(v)) for k, v in attributes.items()]
-        )
+        variables = {k: self.encode_variable(v) for k, v in variables.items()}
+        attributes = {k: self.encode_attribute(v) for k, v in attributes.items()}
         return variables, attributes

xarray/backends/h5netcdf_.py

@@ -1,11 +1,10 @@
 import functools
-from collections import OrderedDict
 
 import numpy as np
 
 from .. import Variable
 from ..core import indexing
-from ..core.utils import FrozenOrderedDict
+from ..core.utils import FrozenDict
 from .common import WritableCFDataStore
 from .file_manager import CachingFileManager
 from .locks import HDF5_LOCK, combine_locks, ensure_lock, get_write_lock
@@ -49,7 +48,7 @@ def _read_attributes(h5netcdf_var):
     # GH451
     # to ensure conventions decoding works properly on Python 3, decode all
     # bytes attributes to strings
-    attrs = OrderedDict()
+    attrs = {}
     for k, v in h5netcdf_var.attrs.items():
         if k not in ["_FillValue", "missing_value"]:
             v = maybe_decode_bytes(v)
@@ -153,12 +152,12 @@ def open_store_variable(self, name, var):
         return Variable(dimensions, data, attrs, encoding)
 
     def get_variables(self):
-        return FrozenOrderedDict(
+        return FrozenDict(
             (k, self.open_store_variable(k, v)) for k, v in self.ds.variables.items()
         )
 
     def get_attrs(self):
-        return FrozenOrderedDict(_read_attributes(self.ds))
+        return FrozenDict(_read_attributes(self.ds))
 
     def get_dimensions(self):
         return self.ds.dimensions

xarray/backends/memory.py

@@ -1,5 +1,4 @@
 import copy
-from collections import OrderedDict
 
 import numpy as np
 
@@ -16,8 +15,8 @@ class InMemoryDataStore(AbstractWritableDataStore):
     """
 
     def __init__(self, variables=None, attributes=None):
-        self._variables = OrderedDict() if variables is None else variables
-        self._attributes = OrderedDict() if attributes is None else attributes
+        self._variables = {} if variables is None else variables
+        self._attributes = {} if attributes is None else attributes
 
     def get_attrs(self):
         return self._attributes
@@ -26,7 +25,7 @@ def get_variables(self):
         return self._variables
 
     def get_dimensions(self):
-        dims = OrderedDict()
+        dims = {}
         for v in self._variables.values():
             for d, s in v.dims.items():
                 dims[d] = s

xarray/backends/netCDF4_.py

@@ -1,14 +1,13 @@
 import functools
 import operator
-from collections import OrderedDict
 from contextlib import suppress
 
 import numpy as np
 
 from .. import Variable, coding
 from ..coding.variables import pop_to
 from ..core import indexing
-from ..core.utils import FrozenOrderedDict, is_remote_uri
+from ..core.utils import FrozenDict, is_remote_uri
 from .common import (
     BackendArray,
     WritableCFDataStore,
@@ -274,25 +273,6 @@ def _is_list_of_strings(value):
         return False
 
 
-def _set_nc_attribute(obj, key, value):
-    if _is_list_of_strings(value):
-        # encode as NC_STRING if attr is list of strings
-        try:
-            obj.setncattr_string(key, value)
-        except AttributeError:
-            # Inform users with old netCDF that does not support
-            # NC_STRING that we can't serialize lists of strings
-            # as attrs
-            msg = (
-                "Attributes which are lists of strings are not "
-                "supported with this version of netCDF. Please "
-                "upgrade to netCDF4-python 1.2.4 or greater."
-            )
-            raise AttributeError(msg)
-    else:
-        obj.setncattr(key, value)
-
-
 class NetCDF4DataStore(WritableCFDataStore):
     """Store for reading and writing data via the Python-NetCDF4 library.
 
@@ -388,7 +368,7 @@ def ds(self):
     def open_store_variable(self, name, var):
         dimensions = var.dimensions
         data = indexing.LazilyOuterIndexedArray(NetCDF4ArrayWrapper(name, self))
-        attributes = OrderedDict((k, var.getncattr(k)) for k in var.ncattrs())
+        attributes = {k: var.getncattr(k) for k in var.ncattrs()}
         _ensure_fill_value_valid(data, attributes)
         # netCDF4 specific encoding; save _FillValue for later
         encoding = {}
@@ -415,17 +395,17 @@ def open_store_variable(self, name, var):
         return Variable(dimensions, data, attributes, encoding)
 
     def get_variables(self):
-        dsvars = FrozenOrderedDict(
+        dsvars = FrozenDict(
             (k, self.open_store_variable(k, v)) for k, v in self.ds.variables.items()
         )
         return dsvars
 
     def get_attrs(self):
-        attrs = FrozenOrderedDict((k, self.ds.getncattr(k)) for k in self.ds.ncattrs())
+        attrs = FrozenDict((k, self.ds.getncattr(k)) for k in self.ds.ncattrs())
         return attrs
 
     def get_dimensions(self):
-        dims = FrozenOrderedDict((k, len(v)) for k, v in self.ds.dimensions.items())
+        dims = FrozenDict((k, len(v)) for k, v in self.ds.dimensions.items())
         return dims
 
     def get_encoding(self):
@@ -442,7 +422,11 @@ def set_dimension(self, name, length, is_unlimited=False):
     def set_attribute(self, key, value):
         if self.format != "NETCDF4":
             value = encode_nc3_attr_value(value)
-        _set_nc_attribute(self.ds, key, value)
+        if _is_list_of_strings(value):
+            # encode as NC_STRING if attr is list of strings
+            self.ds.setncattr_string(key, value)
+        else:
+            self.ds.setncattr(key, value)
 
     def encode_variable(self, variable):
         variable = _force_native_endianness(variable)
@@ -494,10 +478,7 @@ def prepare_variable(
                 fill_value=fill_value,
             )
 
-        for k, v in attrs.items():
-            # set attributes one-by-one since netCDF4<1.0.10 can't handle
-            # OrderedDict as the input to setncatts
-            _set_nc_attribute(nc4_var, k, v)
+        nc4_var.setncatts(attrs)
 
         target = NetCDF4ArrayWrapper(name, self)
 

xarray/backends/netcdf3.py

@@ -1,5 +1,4 @@
 import unicodedata
-from collections import OrderedDict
 
 import numpy as np
 
@@ -70,7 +69,7 @@ def encode_nc3_attr_value(value):
 
 
 def encode_nc3_attrs(attrs):
-    return OrderedDict([(k, encode_nc3_attr_value(v)) for k, v in attrs.items()])
+    return {k: encode_nc3_attr_value(v) for k, v in attrs.items()}
 
 
 def encode_nc3_variable(var):

xarray/backends/pseudonetcdf_.py

@@ -1,10 +1,8 @@
-from collections import OrderedDict
-
 import numpy as np
 
 from .. import Variable
 from ..core import indexing
-from ..core.utils import Frozen, FrozenOrderedDict
+from ..core.utils import Frozen, FrozenDict
 from .common import AbstractDataStore, BackendArray
 from .file_manager import CachingFileManager
 from .locks import HDF5_LOCK, NETCDFC_LOCK, combine_locks, ensure_lock
@@ -65,11 +63,11 @@ def ds(self):
 
     def open_store_variable(self, name, var):
         data = indexing.LazilyOuterIndexedArray(PncArrayWrapper(name, self))
-        attrs = OrderedDict((k, getattr(var, k)) for k in var.ncattrs())
+        attrs = {k: getattr(var, k) for k in var.ncattrs()}
         return Variable(var.dimensions, data, attrs)
 
     def get_variables(self):
-        return FrozenOrderedDict(
+        return FrozenDict(
             (k, self.open_store_variable(k, v)) for k, v in self.ds.variables.items()
         )
 

xarray/backends/pydap_.py

@@ -3,7 +3,7 @@
 from .. import Variable
 from ..core import indexing
 from ..core.pycompat import integer_types
-from ..core.utils import Frozen, FrozenOrderedDict, is_dict_like
+from ..core.utils import Frozen, FrozenDict, is_dict_like
 from .common import AbstractDataStore, BackendArray, robust_getitem
 
 
@@ -83,7 +83,7 @@ def open_store_variable(self, var):
         return Variable(var.dimensions, data, _fix_attributes(var.attributes))
 
     def get_variables(self):
-        return FrozenOrderedDict(
+        return FrozenDict(
             (k, self.open_store_variable(self.ds[k])) for k in self.ds.keys()
         )
 

xarray/backends/pynio_.py

@@ -2,7 +2,7 @@
 
 from .. import Variable
 from ..core import indexing
-from ..core.utils import Frozen, FrozenOrderedDict
+from ..core.utils import Frozen, FrozenDict
 from .common import AbstractDataStore, BackendArray
 from .file_manager import CachingFileManager
 from .locks import HDF5_LOCK, NETCDFC_LOCK, SerializableLock, combine_locks, ensure_lock
@@ -66,7 +66,7 @@ def open_store_variable(self, name, var):
         return Variable(var.dimensions, data, var.attributes)
 
     def get_variables(self):
-        return FrozenOrderedDict(
+        return FrozenDict(
             (k, self.open_store_variable(k, v)) for k, v in self.ds.variables.items()
         )
 

xarray/backends/rasterio_.py

@@ -1,6 +1,5 @@
 import os
 import warnings
-from collections import OrderedDict
 
 import numpy as np
 
@@ -244,7 +243,7 @@ def open_rasterio(filename, parse_coordinates=None, chunks=None, cache=None, loc
     if cache is None:
         cache = chunks is None
 
-    coords = OrderedDict()
+    coords = {}
 
     # Get bands
     if riods.count < 1:
@@ -276,7 +275,7 @@ def open_rasterio(filename, parse_coordinates=None, chunks=None, cache=None, loc
             )
 
     # Attributes
-    attrs = dict()
+    attrs = {}
     # Affine transformation matrix (always available)
     # This describes coefficients mapping pixel coordinates to CRS
     # For serialization store as tuple of 6 floats, the last row being