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)
