Write the OHLCV data for the given sid.
        If there is no bcolz ctable yet created for the sid, create it.
        If the length of the bcolz ctable is not exactly to the date before
        the first day provided, fill the ctable with 0s up to that date.

        Parameters
        ----------
        sid : int
            The asset identifer for the data being written.
        df : pd.DataFrame
            DataFrame of market data with the following characteristics.
            columns : ('open', 'high', 'low', 'close', 'volume')
                open : float64
                high : float64
                low  : float64
                close : float64
                volume : float64|int64
            index : DatetimeIndex of market minutes.

def write_sid(self, sid, df, invalid_data_behavior='warn'):
        """
        Write the OHLCV data for the given sid.
        If there is no bcolz ctable yet created for the sid, create it.
        If the length of the bcolz ctable is not exactly to the date before
        the first day provided, fill the ctable with 0s up to that date.

        Parameters
        ----------
        sid : int
            The asset identifer for the data being written.
        df : pd.DataFrame
            DataFrame of market data with the following characteristics.
            columns : ('open', 'high', 'low', 'close', 'volume')
                open : float64
                high : float64
                low  : float64
                close : float64
                volume : float64|int64
            index : DatetimeIndex of market minutes.
        """
        cols = {
            'open': df.open.values,
            'high': df.high.values,
            'low': df.low.values,
            'close': df.close.values,
            'volume': df.volume.values,
        }
        dts = df.index.values
        # Call internal method, since DataFrame has already ensured matching
        # index and value lengths.
        self._write_cols(sid, dts, cols, invalid_data_behavior)