Make 'values' work on dataframes.

src/Pandas.jl

@@ -110,14 +110,17 @@ end
 
 
 function Base.values(x::PandasWrapped)
-    # Zero-copy conversion to a Julia native type is possible
-    x_kind = x.pyo.dtype.kind
-    if x_kind in ["i", "u", "f", "b"]
-        pyarray = convert(PyArray, x.pyo."values")
-        unsafe_wrap(Array, pyarray.data, size(pyarray))
-    else  # Convert element by element otherwise
-        collect(x)
+    # Check if zero-copy conversion to a Julia native type
+    # is possible.
+    if hasproperty(x.pyo, :dtype)
+        x_kind = x.pyo.dtype.kind
+        if x_kind in ["i", "u", "f", "b"]
+            pyarray = convert(PyArray, x.pyo."values")
+            return unsafe_wrap(Array, pyarray.data, size(pyarray))
+        end
     end
+    # Convert element by element otherwise
+    Array(x)
 end
 
 """

test/runtests.jl

@@ -81,3 +81,7 @@ df3 = Pandas.Series(3:4)
 @test all(df1 == df1)
 @test all(df1 == df2)
 @test df1 != [1, 2]
+
+# Issue #93
+df = DataFrame(:a=>[1,2], :b=>[4,5], :c=>["a","b"])
+@test values(df) == [1 4 "a"; 2 5 "b"]