def test_scatter_plot_diagnostic_outside_threshold(_pyscagnostics, data):
with pytest.warns(UserWarning, match="No plots identified by diagnostics"):
dd.scatter_plots(
data,
mode="diagnostic",
threshold={
"Outlying": 0.999
},
).show()
def test_scatter_plot_diagnostic_dict(_pyscagnostics, data):
fig = dd.scatter_plots(data,
mode="diagnostic",
threshold={
"Outlying": 0.1
},
dist_kws={
"rug": True
}).show()
assert isinstance(fig, list)
assert isinstance(fig[0], seaborn.axisgrid.JointGrid)
def test_scatter_plot_wrong_data_type(data):
with pytest.raises(ValueError):
dd.scatter_plots([1, 2, 3])
def test_scatter_plot_diagnostic(_pyscagnostics, data):
fig = dd.scatter_plots(data, mode="diagnostic", threshold=0.15).show()
assert isinstance(fig, list)
assert isinstance(fig[0], seaborn.axisgrid.JointGrid)
def test_scatter_plot_all(data):
data = data.dropna(axis=1, how="all")
fig = dd.scatter_plots(data, mode="all").show()
assert isinstance(fig, list)
assert isinstance(fig[0], seaborn.axisgrid.JointGrid)
def test_scatter_plot_matrix(data):
data = data.dropna(axis=1, how="all")
swidget = dd.scatter_plots(data, mode="matrix")
assert isinstance(swidget, ScatterWidget)
assert isinstance(swidget.show(), seaborn.axisgrid.PairGrid)