How to use the mlprimitives.adapters.pandas.resample function in mlprimitives

def test_resample_aggregation_import(self):

        out = resample(self.df.set_index('dt'), '1d', aggregation='numpy.max')

        assert_frame_equal(out, pd.DataFrame([
            {'dt': datetime(2000, 1, 1), 'value': 23},
            {'dt': datetime(2000, 1, 2), 'value': 47},
            {'dt': datetime(2000, 1, 3), 'value': 71},
            {'dt': datetime(2000, 1, 4), 'value': 95},
        ]))

def test_resample_aggregation_str(self):

        out = resample(self.df.set_index('dt'), '1d', aggregation='max')

        assert_frame_equal(out, pd.DataFrame([
            {'dt': datetime(2000, 1, 1), 'value': 23},
            {'dt': datetime(2000, 1, 2), 'value': 47},
            {'dt': datetime(2000, 1, 3), 'value': 71},
            {'dt': datetime(2000, 1, 4), 'value': 95},
        ]))

def test_resample_reset_index_false(self):

        out = resample(self.df.set_index('dt'), '1d', reset_index=False)

        assert_frame_equal(out, pd.DataFrame([
            {'dt': datetime(2000, 1, 1), 'value': 11.5},
            {'dt': datetime(2000, 1, 2), 'value': 35.5},
            {'dt': datetime(2000, 1, 3), 'value': 59.5},
            {'dt': datetime(2000, 1, 4), 'value': 83.5},
        ]).set_index('dt'))

def test_resample_on(self):

        out = resample(self.df, '1d', on='dt')

        assert_frame_equal(out, pd.DataFrame([
            {'dt': datetime(2000, 1, 1), 'value': 11.5},
            {'dt': datetime(2000, 1, 2), 'value': 35.5},
            {'dt': datetime(2000, 1, 3), 'value': 59.5},
            {'dt': datetime(2000, 1, 4), 'value': 83.5},
        ]))

def test_resample_rule_int(self):

        out = resample(self.df.set_index('dt'), 86400)

        assert_frame_equal(out, pd.DataFrame([
            {'dt': datetime(2000, 1, 1), 'value': 11.5},
            {'dt': datetime(2000, 1, 2), 'value': 35.5},
            {'dt': datetime(2000, 1, 3), 'value': 59.5},
            {'dt': datetime(2000, 1, 4), 'value': 83.5},
        ]))

def test_resample_rule_str(self):

        out = resample(self.df.set_index('dt'), '1d')

        assert_frame_equal(out, pd.DataFrame([
            {'dt': datetime(2000, 1, 1), 'value': 11.5},
            {'dt': datetime(2000, 1, 2), 'value': 35.5},
            {'dt': datetime(2000, 1, 3), 'value': 59.5},
            {'dt': datetime(2000, 1, 4), 'value': 83.5},
        ]))

def test_resample_groupby(self):

        self.df['group1'] = ['A', 'B'] * 2 * 24
        self.df['group2'] = ['C', 'C', 'D', 'D'] * 24

        out = resample(self.df.set_index('dt'), '1d', groupby=['group1', 'group2'])

        assert_frame_equal(out, pd.DataFrame([
            {'group1': 'A', 'group2': 'C', 'dt': datetime(2000, 1, 1), 'value': 10},
            {'group1': 'A', 'group2': 'C', 'dt': datetime(2000, 1, 2), 'value': 34},
            {'group1': 'A', 'group2': 'C', 'dt': datetime(2000, 1, 3), 'value': 58},
            {'group1': 'A', 'group2': 'C', 'dt': datetime(2000, 1, 4), 'value': 82},
            {'group1': 'A', 'group2': 'D', 'dt': datetime(2000, 1, 1), 'value': 12},
            {'group1': 'A', 'group2': 'D', 'dt': datetime(2000, 1, 2), 'value': 36},
            {'group1': 'A', 'group2': 'D', 'dt': datetime(2000, 1, 3), 'value': 60},
            {'group1': 'A', 'group2': 'D', 'dt': datetime(2000, 1, 4), 'value': 84},
            {'group1': 'B', 'group2': 'C', 'dt': datetime(2000, 1, 1), 'value': 11},
            {'group1': 'B', 'group2': 'C', 'dt': datetime(2000, 1, 2), 'value': 35},
            {'group1': 'B', 'group2': 'C', 'dt': datetime(2000, 1, 3), 'value': 59},
            {'group1': 'B', 'group2': 'C', 'dt': datetime(2000, 1, 4), 'value': 83},
            {'group1': 'B', 'group2': 'D', 'dt': datetime(2000, 1, 1), 'value': 13},
            {'group1': 'B', 'group2': 'D', 'dt': datetime(2000, 1, 2), 'value': 37},

def test_resample_aggregation_func(self):

        out = resample(self.df.set_index('dt'), '1d', aggregation=np.max)

        assert_frame_equal(out, pd.DataFrame([
            {'dt': datetime(2000, 1, 1), 'value': 23},
            {'dt': datetime(2000, 1, 2), 'value': 47},
            {'dt': datetime(2000, 1, 3), 'value': 71},
            {'dt': datetime(2000, 1, 4), 'value': 95},
        ]))