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import typing
from collections.abc import Hashable, Iterator, Mapping
from typing import Any
import numpy as np
from xarray.core import formatting
from xarray.core.utils import Frozen
from xarray.core.variable import Variable
if typing.TYPE_CHECKING:
from xarray.core.dataarray import DataArray
from xarray.core.dataset import Dataset
class DataVariables(Mapping[Any, "DataArray"]):
__slots__ = ("_dataset",)
def __init__(self, dataset: "Dataset"):
self._dataset = dataset
def __iter__(self) -> Iterator[Hashable]:
return (
key
for key in self._dataset._variables
if key not in self._dataset._coord_names
)
def __len__(self) -> int:
length = len(self._dataset._variables) - len(self._dataset._coord_names)
assert length >= 0, "something is wrong with Dataset._coord_names"
return length
def __contains__(self, key: Hashable) -> bool:
return key in self._dataset._variables and key not in self._dataset._coord_names
def __getitem__(self, key: Hashable) -> "DataArray":
if key not in self._dataset._coord_names:
return self._dataset[key]
raise KeyError(key)
def __repr__(self) -> str:
return formatting.data_vars_repr(self)
@property
def variables(self) -> Mapping[Hashable, Variable]:
all_variables = self._dataset.variables
return Frozen({k: all_variables[k] for k in self})
@property
def dtypes(self) -> Frozen[Hashable, np.dtype]:
"""Mapping from data variable names to dtypes.
Cannot be modified directly, but is updated when adding new variables.
See Also
--------
Dataset.dtype
"""
return self._dataset.dtypes
def _ipython_key_completions_(self):
"""Provide method for the key-autocompletions in IPython."""
return [
key
for key in self._dataset._ipython_key_completions_()
if key not in self._dataset._coord_names
]
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