``` foo bar one two three one two A 0.1241 0.0009403 -0.8312 -0.8608 0.1198 B 0.3026 1.344 -2.37 0.5601 -1.064 C 0.5238 -0.7135 -1.861 -1.266 0.3329 ``` Want to be able to do ``` df.ix[:, ['bar', 'foo']] ```