Пример #1
0
    def test_alignment(self, env):
        items = ('a', 'b')
        sids = (1, 2)

        dts = env.market_minute_window(
            env.open_and_closes.market_open[0],
            4,
        ).values
        rp = RollingPanel(2, items, sids, initial_dates=dts[1:-1])

        frame = pd.DataFrame(
            data=np.arange(4).reshape((2, 2)),
            columns=sids,
            index=items,
        )

        nan_arr = np.empty((2, 6))
        nan_arr.fill(np.nan)

        rp.add_frame(dts[-1], frame)

        cur = rp.get_current()
        data = np.array(
            (((np.nan, np.nan), (0, 1)), ((np.nan, np.nan), (2, 3))), float)
        expected = pd.Panel(
            data,
            major_axis=dts[2:],
            minor_axis=sids,
            items=items,
        )
        expected.major_axis = expected.major_axis.tz_localize('utc')
        tm.assert_panel_equal(
            cur,
            expected,
        )

        rp.extend_back(dts[:-2])

        cur = rp.get_current()
        data = np.array(
            (((np.nan, np.nan), (np.nan, np.nan), (np.nan, np.nan), (0, 1)),
             ((np.nan, np.nan), (np.nan, np.nan), (np.nan, np.nan), (2, 3))),
            float)
        expected = pd.Panel(
            data,
            major_axis=dts,
            minor_axis=sids,
            items=items,
        )
        expected.major_axis = expected.major_axis.tz_localize('utc')
        tm.assert_panel_equal(
            cur,
            expected,
        )
Пример #2
0
    def test_alignment(self, env):
        items = ('a', 'b')
        sids = (1, 2)

        dts = env.market_minute_window(
            env.open_and_closes.market_open[0], 4,
        ).values
        rp = RollingPanel(2, items, sids, initial_dates=dts[1:-1])

        frame = pd.DataFrame(
            data=np.arange(4).reshape((2, 2)),
            columns=sids,
            index=items,
        )

        nan_arr = np.empty((2, 6))
        nan_arr.fill(np.nan)

        rp.add_frame(dts[-1], frame)

        cur = rp.get_current()
        data = np.array((((np.nan, np.nan),
                          (0, 1)),
                         ((np.nan, np.nan),
                          (2, 3))),
                        float)
        expected = pd.Panel(
            data,
            major_axis=dts[2:],
            minor_axis=sids,
            items=items,
        )
        expected.major_axis = expected.major_axis.tz_localize('utc')
        tm.assert_panel_equal(
            cur,
            expected,
        )

        rp.extend_back(dts[:-2])

        cur = rp.get_current()
        data = np.array((((np.nan, np.nan),
                          (np.nan, np.nan),
                          (np.nan, np.nan),
                          (0, 1)),
                         ((np.nan, np.nan),
                          (np.nan, np.nan),
                          (np.nan, np.nan),
                          (2, 3))),
                        float)
        expected = pd.Panel(
            data,
            major_axis=dts,
            minor_axis=sids,
            items=items,
        )
        expected.major_axis = expected.major_axis.tz_localize('utc')
        tm.assert_panel_equal(
            cur,
            expected,
        )