def test_select_input_dataframe(dataframe):
"""
Run select by passing in a pandas.DataFrame as input.
"""
output = select(data=dataframe, region=[250, 251, 26, 27])
assert isinstance(output, pd.DataFrame)
assert all(dataframe.columns == output.columns)
assert output.shape == (65, 3)
npt.assert_allclose(output.median(), [250.31464, 26.33893, -270.0])
def test_select_input_table_matrix(dataframe):
"""
Run select using table input that is not a pandas.DataFrame but still a
matrix.
Also testing the reverse (I) alias.
"""
data = dataframe.values
output = select(data=data, region=[245.5, 254.5, 20.5, 29.5], reverse="r")
assert isinstance(output, pd.DataFrame)
assert output.shape == (9177, 3)
npt.assert_allclose(output.median(), [247.235, 20.48624, -3241.0])
def test_select_input_filename():
"""
Run select by passing in an ASCII text file as input.
Also testing the z_subregion (Z) alias.
"""
with GMTTempFile() as tmpfile:
output = select(
data="@tut_ship.xyz",
region=[250, 251, 26, 27],
z_subregion=["-/-630", "-120/0+a"],
outfile=tmpfile.name,
)
assert output is None # check that output is None since outfile is set
assert os.path.exists(path=tmpfile.name)
output = pd.read_csv(tmpfile.name, sep="\t", header=None)
assert output.shape == (5, 3)
npt.assert_allclose(output.median(), [250.12149, 26.04296, -674.0])