def setup(self):
        self.date_index = date_range('01-Jan-2013', '23-Jan-2013', freq='T')
        self.daily_dates = self.date_index.to_period('D').to_timestamp('S', 'S')
        self.fracofday = (self.date_index.view(np.ndarray) - self.daily_dates.view(np.ndarray))
        self.fracofday = (self.fracofday.astype('timedelta64[ns]').astype(np.float64) * 86400000000000.0)
        self.fracofday = TimeSeries(self.fracofday, self.daily_dates)
        self.index = date_range(self.date_index.min().to_period('A').to_timestamp('D', 'S'), self.date_index.max().to_period('A').to_timestamp('D', 'E'), freq='D')
        self.temp = TimeSeries(1.0, self.index)
dataset/ETHPy150Open pydata/pandas/asv_bench/benchmarks/join_merge.py/join_non_unique_equal.setup/operator `/` -> `*`