FIX: copying an array filtered on all dimensions (closes #270)

there are similar bugs remaining but since these are edge cases and this code will change heavily with the adapter refactor I am not inclined to fix them until then

Author: gdementen

doc/source/changes/version_0_34_3.rst.inc

@@ -6,3 +6,5 @@ Fixes
 * changes made to arrays in the console using the "points" syntax (for example: `arr.points['a0,a1', 'b0,b1'] = 0`)
   and the other special `.something[]` syntaxes were not detected by the viewer and thus not displayed (closes
   :editor_issue:`269`).
+
+* fixed copying to clipboard an array filtered on all dimensions (to a single value). Closes :editor_issue:`270`.

larray_editor/arrayadapter.py

@@ -340,6 +340,10 @@ def selection_to_chain(self, raw_data, axes_names, vlabels, hlabels):
         -------
         itertools.chain
         """
+        # FIXME: this function does not support None axes_names, vlabels and hlabels
+        #        which _selection_data() produces in some cases (notably when working
+        #        on a scalar array). Unsure if we should fix _selection_data or this
+        #        method though.
         from itertools import chain
         topheaders = [axes_names + hlabels]
         if self.ndim == 1:

larray_editor/arraywidget.py

@@ -1055,10 +1055,18 @@ def _selection_data(self, headers=True, none_selects_all=True):
         row_min, row_max, col_min, col_max = bounds
         raw_data = self.model_data.get_values(row_min, col_min, row_max, col_max)
         if headers:
+            # FIXME: using data_adapter.ndim here and in the vlabels line below is
+            #        inherently buggy, because this does not take filter into account,
+            #        which should be the case for selection-related stuff which work
+            #        on visible data
             if not self.data_adapter.ndim:
                 return raw_data, None, None, None
             axes_names = self.model_axes.get_values()
-            hlabels = [label[0] for label in self.model_hlabels.get_values(top=col_min, bottom=col_max)]
+            if len(axes_names):
+                hlabels = [label[0]
+                           for label in self.model_hlabels.get_values(top=col_min, bottom=col_max)]
+            else:
+                hlabels = []
             vlabels = self.model_vlabels.get_values(left=row_min, right=row_max) if self.data_adapter.ndim > 1 else []
             return raw_data, axes_names, vlabels, hlabels
         else: