def test_noop(self):
        df = ptesting.makeDataFrame()
        df.values[[2, 5, 10], [2, 3, 1]] = np.nan
        y, X = df[df.columns[0]], df[df.columns[1:]]
        data, _ = sm_data.handle_missing(y, X, missing='none')

        y_exp, X_exp = df[df.columns[0]], df[df.columns[1:]]
        ptesting.assert_frame_equal(data['exog'], X_exp)
        ptesting.assert_series_equal(data['endog'], y_exp)

    def test_array_pandas(self):
        df = ptesting.makeDataFrame()
        df.values[[2, 5, 10], [2, 3, 1]] = np.nan
        y, X = df[df.columns[0]].values, df[df.columns[1:]]
        data, _ = sm_data.handle_missing(y, X, missing='drop')

        df = df.dropna()
        y_exp, X_exp = df[df.columns[0]].values, df[df.columns[1:]]
        ptesting.assert_frame_equal(data['exog'], X_exp)
        np.testing.assert_array_equal(data['endog'], y_exp)

    def test_pandas_array(self):
        df = ptesting.makeDataFrame()
        df.values[[2, 5, 10], [2, 3, 1]] = np.nan
        y, X = df[df.columns[0]], df[df.columns[1:]].values
        data, _ = sm_data.handle_missing(y, X, missing="drop")

        df = df.dropna()
        y_exp, X_exp = df[df.columns[0]], df[df.columns[1:]].values
        np.testing.assert_array_equal(data["exog"], X_exp)
        ptesting.assert_series_equal(data["endog"], y_exp)

    def test_arrays(self):
        arr = np.random.randn(20, 4)
        arr[[2, 5, 10], [2, 3, 1]] = np.nan
        y, X = arr[:,0], arr[:,1:]
        data, _ = sm_data.handle_missing(y, X, missing='drop')

        bools_mask = np.ones(20, dtype=bool)
        bools_mask[[2, 5, 10]] = False
        y_exp = arr[bools_mask, 0]
        X_exp = arr[bools_mask, 1:]
        np.testing.assert_array_equal(data['endog'], y_exp)
        np.testing.assert_array_equal(data['exog'], X_exp)