def test_xrnan_none(filename, expected, tmpdir):
# Perhaps this test is extraneous?
# Right now only have real data on hand without NaNs.
file_path = test_dir.joinpath(collection_data_dir)
the_file = file_path.joinpath(filename)
result = xrnan(the_file)
assert result is expected
def check_file_nans(dataset_or_path: Union[str, pathlib.Path, xr.Dataset],
n_cores: int = 1) -> Union[pd.DataFrame, None]:
"""Opens the specified netcdf file and checks all data variables for NA values. NA assigned
according to xarray __FillVal parsing. See xarray.Dataset documentation
Args:
dataset_or_path: The path to the netcdf dataset file, or a dataset itself
Returns: string summary of nans if present
"""
return xrnan(dataset_or_path, n_cores=n_cores)
def test_xrnan_matrix(filename, expected, tmpdir):
file_path = test_dir.joinpath(nan_na_data_dir)
the_file = file_path.joinpath(filename)
result = xrnan(the_file)
assert repr(result) == expected