def test_tooltips(self):
data_in = Orange.data.Table("titanic")
res = Orange.evaluation.TestOnTrainingData(
data=data_in,
learners=[
Orange.classification.KNNLearner(),
Orange.classification.LogisticRegressionLearner()
],
store_data=True)
self.send_signal(self.widget.Inputs.evaluation_results, res)
self.widget.roc_averaging = OWROCAnalysis.Merge
self.widget.target_index = 0
self.widget.selected_classifiers = [0, 1]
vb = self.widget.plot.getViewBox()
vb.childTransform() # Force pyqtgraph to update transforms
curve = self.widget.plot_curves(self.widget.target_index, 0)
curve_merge = curve.merge()
view = self.widget.plotview
item = curve_merge.curve_item # type: pg.PlotCurveItem
# no tooltips to be shown
pos = item.mapToScene(0.0, 1.0)
pos = view.mapFromScene(pos)
mouseMove(view.viewport(), pos)
self.assertIs(self.widget._tooltip_cache, None)
# test single point
pos = item.mapToScene(0.22504, 0.45400)
pos = view.mapFromScene(pos)
mouseMove(view.viewport(), pos)
shown_thresh = self.widget._tooltip_cache[1]
self.assertTrue(QToolTip.isVisible())
np.testing.assert_almost_equal(shown_thresh, [0.40000], decimal=5)
pos = item.mapToScene(0.0, 0.0)
pos = view.mapFromScene(pos)
# test overlapping points
mouseMove(view.viewport(), pos)
shown_thresh = self.widget._tooltip_cache[1]
self.assertTrue(QToolTip.isVisible())
np.testing.assert_almost_equal(shown_thresh, [1.8, 1.89336], decimal=5)
# test that cache is invalidated when changing averaging mode
self.widget.roc_averaging = OWROCAnalysis.Threshold
self.widget._replot()
mouseMove(view.viewport(), pos)
shown_thresh = self.widget._tooltip_cache[1]
self.assertTrue(QToolTip.isVisible())
np.testing.assert_almost_equal(shown_thresh, [1, 1])
# test nan thresholds
self.widget.roc_averaging = OWROCAnalysis.Vertical
self.widget._replot()
mouseMove(view.viewport(), pos)
self.assertIs(self.widget._tooltip_cache, None)
def test_tooltips(self):
data_in = Orange.data.Table("titanic")
res = Orange.evaluation.TestOnTrainingData(
data=data_in,
learners=[Orange.classification.KNNLearner(),
Orange.classification.LogisticRegressionLearner()],
store_data=True
)
self.send_signal(self.widget.Inputs.evaluation_results, res)
self.widget.roc_averaging = OWROCAnalysis.Merge
self.widget.target_index = 0
self.widget.selected_classifiers = [0, 1]
vb = self.widget.plot.getViewBox()
vb.childTransform() # Force pyqtgraph to update transforms
curve = self.widget.plot_curves(self.widget.target_index, 0)
curve_merge = curve.merge()
view = self.widget.plotview
item = curve_merge.curve_item # type: pg.PlotCurveItem
# no tooltips to be shown
pos = item.mapToScene(0.0, 1.0)
pos = view.mapFromScene(pos)
mouseMove(view.viewport(), pos)
self.assertIs(self.widget._tooltip_cache, None)
# test single point
pos = item.mapToScene(0.22504, 0.45400)
pos = view.mapFromScene(pos)
mouseMove(view.viewport(), pos)
shown_thresh = self.widget._tooltip_cache[1]
self.assertTrue(QToolTip.isVisible())
np.testing.assert_almost_equal(shown_thresh, [0.40000], decimal=5)
pos = item.mapToScene(0.0, 0.0)
pos = view.mapFromScene(pos)
# test overlapping points
mouseMove(view.viewport(), pos)
shown_thresh = self.widget._tooltip_cache[1]
self.assertTrue(QToolTip.isVisible())
np.testing.assert_almost_equal(shown_thresh, [1.8, 1.89336], decimal=5)
# test that cache is invalidated when changing averaging mode
self.widget.roc_averaging = OWROCAnalysis.Threshold
self.widget._replot()
mouseMove(view.viewport(), pos)
shown_thresh = self.widget._tooltip_cache[1]
self.assertTrue(QToolTip.isVisible())
np.testing.assert_almost_equal(shown_thresh, [1, 1])
# test nan thresholds
self.widget.roc_averaging = OWROCAnalysis.Vertical
self.widget._replot()
mouseMove(view.viewport(), pos)
self.assertIs(self.widget._tooltip_cache, None)
def test_tooltips(self):
data_in = Orange.data.Table("titanic")
res = Orange.evaluation.TestOnTrainingData(
data=data_in,
learners=[
Orange.classification.KNNLearner(),
Orange.classification.LogisticRegressionLearner()
],
store_data=True)
self.send_signal(self.widget.Inputs.evaluation_results, res)
self.widget.roc_averaging = OWROCAnalysis.Merge
self.widget.target_index = 0
self.widget.selected_classifiers = [0, 1]
vb = self.widget.plot.getViewBox()
vb.childTransform() # Force pyqtgraph to update transforms
curve = self.widget.plot_curves(self.widget.target_index, 0)
curve_merge = curve.merge()
view = self.widget.plotview
item = curve_merge.curve_item # type: pg.PlotCurveItem
with patch.object(QToolTip, "showText") as show_text:
# no tooltips to be shown
pos = item.mapToScene(0.0, 1.0)
pos = view.mapFromScene(pos)
mouseMove(view.viewport(), pos)
show_text.assert_not_called()
# test single point
pos = item.mapToScene(0.22504, 0.45400)
pos = view.mapFromScene(pos)
mouseMove(view.viewport(), pos)
(_, text), _ = show_text.call_args
self.assertIn("(#1) 0.400", text)
# test overlapping points
pos = item.mapToScene(0.0, 0.0)
pos = view.mapFromScene(pos)
mouseMove(view.viewport(), pos)
(_, text), _ = show_text.call_args
self.assertIn("(#1) 1.800\n(#2) 1.893", text)
# test that cache is invalidated when changing averaging mode
self.widget.roc_averaging = OWROCAnalysis.Threshold
self.widget._replot()
mouseMove(view.viewport(), pos)
(_, text), _ = show_text.call_args
self.assertIn("(#1) 1.000\n(#2) 1.000", text)
# test nan thresholds
self.widget.roc_averaging = OWROCAnalysis.Vertical
self.widget._replot()
mouseMove(view.viewport(), pos)
(_, text), _ = show_text.call_args
self.assertEqual(text, "")
def test_track(self):
cb = self.cb
cb.setStyleSheet("combobox-list-mousetracking: 1")
cb.showPopup()
popup = cb.findChild(QListView) # type: QListView
model = popup.model()
rect = popup.visualRect(model.index(2, 0))
mouseMove(popup.viewport(), rect.center())
self.assertEqual(popup.currentIndex().row(), 2)
cb.hidePopup()
def test_tooltips(self):
data_in = Orange.data.Table("titanic")
res = Orange.evaluation.TestOnTrainingData(
data=data_in,
learners=[Orange.classification.KNNLearner(),
Orange.classification.LogisticRegressionLearner()],
store_data=True
)
self.send_signal(self.widget.Inputs.evaluation_results, res)
self.widget.roc_averaging = OWROCAnalysis.Merge
self.widget.target_index = 0
self.widget.selected_classifiers = [0, 1]
vb = self.widget.plot.getViewBox()
vb.childTransform() # Force pyqtgraph to update transforms
curve = self.widget.plot_curves(self.widget.target_index, 0)
curve_merge = curve.merge()
view = self.widget.plotview
item = curve_merge.curve_item # type: pg.PlotCurveItem
with patch.object(QToolTip, "showText") as show_text:
# no tooltips to be shown
pos = item.mapToScene(0.0, 1.0)
pos = view.mapFromScene(pos)
mouseMove(view.viewport(), pos)
show_text.assert_not_called()
# test single point
pos = item.mapToScene(0.22504, 0.45400)
pos = view.mapFromScene(pos)
mouseMove(view.viewport(), pos)
(_, text), _ = show_text.call_args
self.assertIn("(#1) 0.400", text)
# test overlapping points
pos = item.mapToScene(0.0, 0.0)
pos = view.mapFromScene(pos)
mouseMove(view.viewport(), pos)
(_, text), _ = show_text.call_args
self.assertIn("(#1) 1.800\n(#2) 1.893", text)
# test that cache is invalidated when changing averaging mode
self.widget.roc_averaging = OWROCAnalysis.Threshold
self.widget._replot()
mouseMove(view.viewport(), pos)
(_, text), _ = show_text.call_args
self.assertIn("(#1) 1.000\n(#2) 1.000", text)
# test nan thresholds
self.widget.roc_averaging = OWROCAnalysis.Vertical
self.widget._replot()
mouseMove(view.viewport(), pos)
(_, text), _ = show_text.call_args
self.assertEqual(text, "")
def test_tooltips(self):
# See https://people.inf.elte.hu/kiss/11dwhdm/roc.pdf for the curve
# representing this data
actual = np.array([float(c == "n") for c in "ppnpppnnpnpnpnnnpnpn"])
p = np.array([
.9, .8, .7, .6, .55, .54, .53, .52, .51, .505, .4, .39, .38, .37,
.36, .35, .34, .33, .30, .1
])
n = 1 - p
predicted = (p > .5).astype(float)
# The second curve is like the first except for the first three points:
# it goes to the right and then up
p2 = p.copy()
p2[:4] = [0.7, 0.8, 0.9, 0.59]
n2 = 1 - p2
predicted2 = (p2 < .5).astype(float)
data = Orange.data.Table(
Orange.data.Domain(
[], [Orange.data.DiscreteVariable("y", values=tuple("pn"))]),
np.empty((len(p), 0), dtype=float), actual)
res = Results(data=data,
actual=actual,
predicted=np.array([list(predicted),
list(predicted2)]),
probabilities=np.array(
[list(zip(p, n)), list(zip(p2, n2))]))
self.send_signal(self.widget.Inputs.evaluation_results, res)
self.widget.roc_averaging = OWROCAnalysis.Merge
self.widget.target_index = 0
self.widget.selected_classifiers = [0, 1]
vb = self.widget.plot.getViewBox()
vb.childTransform() # Force pyqtgraph to update transforms
curve = self.widget.plot_curves(self.widget.target_index, 0)
curve_merge = curve.merge()
view = self.widget.plotview
item = curve_merge.curve_item # type: pg.PlotCurveItem
with patch.object(QToolTip, "showText") as show_text:
# no tooltips to be shown
pos = item.mapToScene(0.0, 1.0)
pos = view.mapFromScene(pos)
mouseMove(view.viewport(), pos)
show_text.assert_not_called()
# test single point
pos = item.mapToScene(0, 0.1)
pos = view.mapFromScene(pos)
mouseMove(view.viewport(), pos)
(_, text), _ = show_text.call_args
self.assertIn("(#1) 0.900", text)
self.assertNotIn("#2", text)
# test overlapping points
pos = item.mapToScene(0.0, 0.0)
pos = view.mapFromScene(pos)
mouseMove(view.viewport(), pos)
(_, text), _ = show_text.call_args
self.assertIn("(#1) 1.000\n(#2) 1.000", text)
pos = item.mapToScene(0.1, 0.3)
pos = view.mapFromScene(pos)
mouseMove(view.viewport(), pos)
(_, text), _ = show_text.call_args
self.assertIn("(#1) 0.600\n(#2) 0.590", text)
show_text.reset_mock()
# test that cache is invalidated when changing averaging mode
self.widget.roc_averaging = OWROCAnalysis.Threshold
self.widget._replot()
mouseMove(view.viewport(), pos)
(_, text), _ = show_text.call_args
self.assertIn("(#1) 0.600\n(#2) 0.590", text)
show_text.reset_mock()
# test nan thresholds
self.widget.roc_averaging = OWROCAnalysis.Vertical
self.widget._replot()
mouseMove(view.viewport(), pos)
show_text.assert_not_called()
