def test_missing_data_pandas():
 X = np.random.random((10, 5))
 X[(1, 2)] = np.nan
 df = pandas.DataFrame(X)
 (vals, cnames, rnames) = data.interpret_data(df)
 np.testing.assert_equal(rnames.tolist(), [0, 2, 3, 4, 5, 6, 7, 8, 9])

def test_missing_data_pandas ( ) : X = np . random . random ( ( 10 , 5 ) ) X [ ( 1 , 2 ) ] = np . nan df = pandas . DataFrame ( X ) ( vals , cnames , rnames ) = data . interpret_data ( df ) np . testing . assert_equal ( rnames . tolist ( ) , [ 0 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ] )
fixes gh: #144 .