def test_delaunay_triples_wrong_kind_of_input(dataframe):
"""
Run triangulate.delaunay_triples using grid input that is not
file/matrix/vectors.
"""
data = dataframe.z.to_xarray() # convert pandas.Series to xarray.DataArray
assert data_kind(data) == "grid"
with pytest.raises(GMTInvalidInput):
triangulate.delaunay_triples(data=data)
def test_delaunay_triples_ndarray_output(dataframe, expected_dataframe):
"""
Test triangulate.delaunay_triples with "numpy" output type.
"""
output = triangulate.delaunay_triples(data=dataframe, output_type="numpy")
assert isinstance(output, np.ndarray)
np.testing.assert_allclose(actual=output,
desired=expected_dataframe.to_numpy())
def test_delaunay_triples_input_xyz(dataframe, expected_dataframe):
"""
Run triangulate.delaunay_triples by passing in x, y, z numpy.ndarrays
individually.
"""
output = triangulate.delaunay_triples(x=dataframe.x,
y=dataframe.y,
z=dataframe.z)
pd.testing.assert_frame_equal(left=output, right=expected_dataframe)
def test_delaunay_triples_input_table_matrix(array_func, dataframe,
expected_dataframe):
"""
Run triangulate.delaunay_triples by passing in a numpy.array or
xarray.Dataset.
"""
table = array_func(dataframe)
output = triangulate.delaunay_triples(data=table)
pd.testing.assert_frame_equal(left=output, right=expected_dataframe)
def test_delaunay_triples_outfile(dataframe, expected_dataframe):
"""
Test triangulate.delaunay_triples with ``outfile``.
"""
with GMTTempFile(suffix=".txt") as tmpfile:
with pytest.warns(RuntimeWarning) as record:
result = triangulate.delaunay_triples(data=dataframe,
outfile=tmpfile.name)
assert len(record) == 1 # check that only one warning was raised
assert result is None # return value is None
assert os.path.exists(path=tmpfile.name)
temp_df = pd.read_csv(filepath_or_buffer=tmpfile.name,
sep="\t",
header=None)
pd.testing.assert_frame_equal(left=temp_df, right=expected_dataframe)
def test_delaunay_triples_input_xy_no_z(dataframe, expected_dataframe):
"""
Run triangulate.delaunay_triples by passing in x and y, but no z.
"""
output = triangulate.delaunay_triples(x=dataframe.x, y=dataframe.y)
pd.testing.assert_frame_equal(left=output, right=expected_dataframe)
def test_delaunay_triples_invalid_format(dataframe):
"""
Test that triangulate.delaunay_triples fails with incorrect format.
"""
with pytest.raises(GMTInvalidInput):
triangulate.delaunay_triples(data=dataframe, output_type=1)