def test_series(self):
        pivot = pd.pivot_table(self.df, rows='month', cols='gender',
                               values='price')

        [man, woman] = get_series(pivot, [])
        self.assertEquals('man', man['name'])
        self.assertEquals([(unix_time_millis(date(2010, 1, 1)), 1.0),
                           (unix_time_millis(date(2010, 2, 1)), 1.0)],
                          man['data'])

        self.assertEquals('woman', woman['name'])
        self.assertEquals([(unix_time_millis(date(2010, 1, 1)), 1.0),
                           (unix_time_millis(date(2010, 2, 1)), 0)],
                          woman['data'])
    def test_series(self):
        pivot = pd.pivot_table(self.df,
                               rows='month',
                               cols='gender',
                               values='price')

        [man, woman] = get_series(pivot, [])
        self.assertEquals('man', man['name'])
        self.assertEquals([(unix_time_millis(date(2010, 1, 1)), 1.0),
                           (unix_time_millis(date(2010, 2, 1)), 1.0)],
                          man['data'])

        self.assertEquals('woman', woman['name'])
        self.assertEquals([(unix_time_millis(date(2010, 1, 1)), 1.0),
                           (unix_time_millis(date(2010, 2, 1)), 0)],
                          woman['data'])
def _serialize(serie):
    ret = []
    for x, y in zip(serie.index, serie):
        if isinstance(x, (date, datetime)):
            x = unix_time_millis(x)
        if pd.np.isnan(y):
            y = 0

        if isinstance(x, basestring):
            ret.append(y)
        else:
            ret.append((x, y))
    return ret