def test_plot_taxon_exchanges(growth_data, tmp_path):
v = viz.plot_exchanges_per_taxon(growth_data, str(tmp_path / "viz.html"))
check_viz(v)
v = viz.plot_exchanges_per_taxon(
growth_data, str(tmp_path / "viz.html"), direction="export")
check_viz(v)
with pytest.raises(ValueError):
v = viz.plot_exchanges_per_taxon(
growth_data, str(tmp_path / "viz.html"), direction="dog")
def test_fit(growth_data, tmp_path):
meta = pd.Series([0, 0, 1, 1],
index=growth_data.growth_rates.sample_id.unique())
v = viz.plot_fit(growth_data, meta, filename=str(tmp_path / "viz.html"),
min_coef=0)
check_viz(v)
v = viz.plot_fit(growth_data, meta, variable_type="continuous",
filename=str(tmp_path / "viz.html"), min_coef=0)
check_viz(v)
with pytest.raises(ValueError):
v = viz.plot_fit(growth_data, meta, variable_type="dog",
filename=str(tmp_path / "viz.html"))
def test_plot_sample_exchanges(growth_data, tmp_path):
v = viz.plot_exchanges_per_sample(growth_data, str(tmp_path / "viz.html"))
check_viz(v)
v = viz.plot_exchanges_per_sample(
growth_data, str(tmp_path / "viz.html"), direction="export")
check_viz(v)
v = viz.plot_exchanges_per_sample(
growth_data, str(tmp_path / "viz.html"), cluster=False)
check_viz(v)
with pytest.raises(ValueError):
v = viz.plot_exchanges_per_sample(
growth_data, str(tmp_path / "viz.html"), direction="dog")
def test_plot_tradeoff(tradeoff_data, tmp_path):
v = viz.plot_tradeoff(tradeoff_data, str(tmp_path / "viz.html"))
check_viz(v)
def test_plot_growth(growth_data, tmp_path):
v = viz.plot_growth(growth_data, str(tmp_path / "viz.html"))
check_viz(v)