Fix plotting test. (#6040)
Previously the test loads a model generated by `test_basic.py`, now we generate the model explicitly. * Cleanup saved files for basic tests.
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@@ -14,27 +14,27 @@ try:
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except ImportError:
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pass
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pytestmark = pytest.mark.skipif(**tm.no_multiple(tm.no_matplotlib(),
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tm.no_graphviz()))
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pytestmark = pytest.mark.skipif(**tm.no_multiple(tm.no_matplotlib(), tm.no_graphviz()))
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dpath = 'demo/data/'
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rng = np.random.RandomState(1994)
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dpath = 'demo/data/agaricus.txt.train'
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class TestPlotting(unittest.TestCase):
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def test_plotting(self):
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bst2 = xgb.Booster(model_file='xgb.model')
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m = xgb.DMatrix(dpath)
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booster = xgb.train({'max_depth': 2, 'eta': 1,
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'objective': 'binary:logistic'}, m,
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num_boost_round=2)
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ax = xgb.plot_importance(bst2)
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ax = xgb.plot_importance(booster)
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assert isinstance(ax, Axes)
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assert ax.get_title() == 'Feature importance'
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assert ax.get_xlabel() == 'F score'
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assert ax.get_ylabel() == 'Features'
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assert len(ax.patches) == 4
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ax = xgb.plot_importance(bst2, color='r',
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ax = xgb.plot_importance(booster, color='r',
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title='t', xlabel='x', ylabel='y')
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assert isinstance(ax, Axes)
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assert ax.get_title() == 't'
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@@ -44,7 +44,7 @@ class TestPlotting(unittest.TestCase):
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for p in ax.patches:
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assert p.get_facecolor() == (1.0, 0, 0, 1.0) # red
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ax = xgb.plot_importance(bst2, color=['r', 'r', 'b', 'b'],
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ax = xgb.plot_importance(booster, color=['r', 'r', 'b', 'b'],
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title=None, xlabel=None, ylabel=None)
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assert isinstance(ax, Axes)
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assert ax.get_title() == ''
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@@ -56,10 +56,10 @@ class TestPlotting(unittest.TestCase):
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assert ax.patches[2].get_facecolor() == (0, 0, 1.0, 1.0) # blue
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assert ax.patches[3].get_facecolor() == (0, 0, 1.0, 1.0) # blue
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g = xgb.to_graphviz(bst2, num_trees=0)
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g = xgb.to_graphviz(booster, num_trees=0)
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assert isinstance(g, Source)
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ax = xgb.plot_tree(bst2, num_trees=0)
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ax = xgb.plot_tree(booster, num_trees=0)
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assert isinstance(ax, Axes)
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def test_importance_plot_lim(self):
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