(issue 805) updated from_frame(): parse each axis name to check it represents an anonymous and/or wildcard axis

Author: alixdamman

larray/inout/pandas.py

@@ -251,7 +251,16 @@ def from_frame(df, sort_rows=False, sort_columns=False, parse_header=False, unfo
     axes_names = [str(name) if name is not None else name
                   for name in axes_names]
 
-    axes = AxisCollection([Axis(labels, name) for labels, name in zip(axes_labels, axes_names)])
+    def _to_axis(labels, name):
+        if name is not None:
+            if name[-1] == '*':
+                labels = len(labels)
+                name = name[:-1]
+            if _anonymous_axis_pattern.match(name):
+                name = None
+        return Axis(labels, name)
+
+    axes = AxisCollection([_to_axis(labels, name) for labels, name in zip(axes_labels, axes_names)])
     data = df.values.reshape(axes.shape)
     return LArray(data, axes, meta=meta)
 

larray/tests/test_array.py

@@ -3827,6 +3827,18 @@ def test_from_frame():
     assert la.axes.names == ['age', 'sex', 'time']
     assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
 
+    # 3C) 3 anonymous axes
+    # ====================
+    arr = ndtest((Axis(2), Axis(2), Axis(2)))
+    df = arr.to_frame()
+
+    la = from_frame(df)
+    assert la.ndim == 3
+    assert la.shape == (2, 2, 2)
+    for axis in la.axes:
+        assert axis.name is None
+        assert axis.iswildcard
+
     # 4) test sort_rows and sort_columns arguments
     # ============================================
     age = Axis('age=2,0,1,3')