def test_old_xarray(old_xarray):
from intake_xarray.netcdf import NetCDFSource
source = NetCDFSource(os.path.join(here, 'data', 'example_{num: d}.nc'),
concat_dim='num',
combine='nested')
with pytest.raises(ImportError, match='open_dataset was added in 0.11.2'):
source.to_dask()
def test_read_glob_pattern_of_netcdf_files():
"""If xarray is old, prompt user to update to use pattern"""
from intake_xarray.netcdf import NetCDFSource
source = NetCDFSource(os.path.join(here, 'data', 'example_{num: d}.nc'),
concat_dim='num')
d = source.to_dask()
assert d.dims == {'lat': 5, 'lon': 10, 'level': 4, 'time': 1, 'num': 2}
assert (d.num.data == np.array([1, 2])).all()
def test_read_list_of_netcdf_files_with_combine_by_coords():
from intake_xarray.netcdf import NetCDFSource
source = NetCDFSource(
[
os.path.join(here, 'data', 'example_1.nc'),
os.path.join(here, 'data', 'next_example_1.nc'),
],
combine='by_coords',
)
d = source.to_dask()
assert d.dims == {'lat': 5, 'lon': 10, 'level': 4, 'time': 2}
def test_read_list_of_netcdf_files():
from intake_xarray.netcdf import NetCDFSource
source = NetCDFSource([
os.path.join(here, 'data', 'example_1.nc'),
os.path.join(here, 'data', 'example_2.nc'),
])
d = source.to_dask()
assert d.dims == {
'lat': 5,
'lon': 10,
'level': 4,
'time': 1,
'concat_dim': 2
}
def test_cached_list_netcdf():
tempd = str(tempfile.mkdtemp())
from intake_xarray.netcdf import NetCDFSource
source = NetCDFSource([
'filecache://' + os.path.join(here, 'data', 'example_1.nc'),
'filecache://' + os.path.join(here, 'data', 'example_2.nc'),
],
storage_options={
'cache_storage': tempd,
'target_protocol': 'file'
})
d = source.to_dask()
assert d.dims == {
'lat': 5,
'lon': 10,
'level': 4,
'time': 1,
'concat_dim': 2
}
assert os.listdir(tempd)