Output to OWCorrespondence

Orange/widgets/unsupervised/owcorrespondence.py

@@ -8,14 +8,16 @@
 
 import pyqtgraph as pg
 import Orange.data
+from Orange.data import Table, Domain, ContinuousVariable, StringVariable
 from Orange.statistics import contingency
 
 from Orange.widgets import widget, gui, settings
 from Orange.widgets.utils import itemmodels, colorpalette
 from Orange.widgets.utils.widgetpreview import WidgetPreview
 
 from Orange.widgets.visualize.owscatterplotgraph import ScatterPlotItem
-from Orange.widgets.widget import Input
+from Orange.widgets.widget import Input, Output
+from orangewidget.settings import Setting
 
 
 class ScatterPlotItem(pg.ScatterPlotItem):
@@ -51,11 +53,15 @@ class OWCorrespondenceAnalysis(widget.OWWidget):
     class Inputs:
         data = Input("Data", Orange.data.Table)
 
+    class Outputs:
+        coordinates = Output("Coordinates", Orange.data.Table)
+
     Invalidate = QEvent.registerEventType()
 
     settingsHandler = settings.DomainContextHandler()
 
     selected_var_indices = settings.ContextSetting([])
+    auto_commit = Setting(True)
 
     graph_name = "plot.plotItem"
 
@@ -96,6 +102,8 @@ def __init__(self):
             gui.vBox(self.controlArea, "Contribution to Inertia"), "\n"
         )
 
+        gui.auto_send(self.controlArea, self, "auto_commit")
+
         gui.rubber(self.controlArea)
 
         self.plot = pg.PlotWidget(background="w")
@@ -127,6 +135,24 @@ def set_data(self, data):
                 self._restore_selection()
         self._update_CA()
 
+    def commit(self):
+        output_table = None
+        if self.ca is not None:
+            sel_vars = self.selected_vars()
+            if len(sel_vars) == 2:
+                rf = np.vstack((self.ca.row_factors, self.ca.col_factors))
+            else:
+                rf = self.ca.row_factors
+            vars_data = [(val.name, var) for val in sel_vars for var in val.values]
+            output_table = Table(
+                Domain([ContinuousVariable(f"Component {i + 1}")
+                        for i in range(rf.shape[1])],
+                       metas=[StringVariable("Variable"),
+                              StringVariable("Value")]),
+                rf, metas=vars_data
+            )
+        self.Outputs.coordinates.send(output_table)
+
     def clear(self):
         self.data = None
         self.ca = None
@@ -145,8 +171,7 @@ def restore(view, indices):
         restore(self.varview, self.selected_var_indices)
 
     def _p_axes(self):
-#         return (0, 1)
-        return (self.component_x, self.component_y)
+        return self.component_x, self.component_y
 
     def _var_changed(self):
         self.selected_var_indices = sorted(
@@ -182,6 +207,7 @@ def _update_CA(self):
 
         self._setup_plot()
         self._update_info()
+        self.commit()
 
     def update_XY(self):
         self.axis_x_cb.clear()
@@ -406,4 +432,4 @@ def inertia_of_axis(self):
 
 
 if __name__ == "__main__":  # pragma: no cover
-    WidgetPreview(OWCorrespondenceAnalysis).run(Orange.data.Table("smokers_ct"))
+    WidgetPreview(OWCorrespondenceAnalysis).run(Orange.data.Table("titanic"))

Orange/widgets/unsupervised/tests/test_owcorrespondence.py

@@ -3,12 +3,13 @@
 from Orange.data import Table, Domain, DiscreteVariable, ContinuousVariable
 from Orange.widgets.tests.base import WidgetTest
 from Orange.widgets.unsupervised.owcorrespondence \
-    import OWCorrespondenceAnalysis
+    import OWCorrespondenceAnalysis, select_rows
 
 
 class TestOWCorrespondence(WidgetTest):
     def setUp(self):
         self.widget = self.create_widget(OWCorrespondenceAnalysis)
+        self.data = Table("titanic")
 
     def test_no_data(self):
         """Check that the widget doesn't crash on empty data"""
@@ -73,3 +74,17 @@ def test_no_discrete_variables(self):
         self.assertTrue(self.widget.Error.no_disc_vars.is_shown())
         self.send_signal(self.widget.Inputs.data, Table("iris"))
         self.assertFalse(self.widget.Error.no_disc_vars.is_shown())
+
+    def test_outputs(self):
+        w = self.widget
+
+        self.assertIsNone(self.get_output(w.Outputs.coordinates), None)
+        self.send_signal(self.widget.Inputs.data, self.data)
+        self.assertTupleEqual(self.get_output(w.Outputs.coordinates).X.shape,
+                              (6, 2))
+        select_rows(w.varview, [0, 1, 2])
+        w.commit()
+        self.assertTupleEqual(self.get_output(w.Outputs.coordinates).X.shape,
+                              (8, 8))
+        self.send_signal(self.widget.Inputs.data, None)
+        self.assertIsNone(self.get_output(w.Outputs.coordinates), None)

doc/visual-programming/source/widgets/unsupervised/correspondenceanalysis.md

@@ -7,6 +7,10 @@ Correspondence analysis for categorical multivariate data.
 
 - Data: input dataset
 
+**Outputs**
+
+- Coordinates: coordinates of all components
+
 [Correspondence Analysis](https://en.wikipedia.org/wiki/Correspondence_analysis) (CA) computes the CA linear transformation of the input data. While it is similar to PCA, CA computes linear transformation on discrete rather than on continuous data.
 
 ![](images/CorrespondenceAnalysis-stamped.png)