def dataframe(self, sids, head=0, tail=EPOCHS_MAX, datetime=True):
        """
        Create data frame

        Parameters
        ----------
        sids : list[str]
        head : int | pandas.Timestamp, optional
            Start of the interval
            default earliest available
        tail : int | pandas.Timestamp, optional
            End of the interval
            default max epoch
        datetime : bool
            convert index to datetime
            default True

        Returns
        -------
        pandas.DataFrame
        """
        if head is None:
            head = 0
        else:
            head = self._2epochs(head)

        if tail is None:
            tail = EPOCHS_MAX
        else:
            tail = self._2epochs(tail)

        series = [self.series(sid, head=head, tail=tail, datetime=False)
                  for sid in sids]
        df = pd.concat(series, axis=1)
        if datetime is True:
            df.index = pd.to_datetime(df.index, unit="s", utc=True)
        return df
def dataframe ( self , sids , head = 0 , tail = EPOCHS_MAX , datetime = True ) : if head is None : head = 0 else : head = self . _2epochs ( head ) if tail is None : tail = EPOCHS_MAX else : tail = self . _2epochs ( tail ) series = [ self . series ( sid , head = head , tail = tail , datetime = False ) for sid in sids ] df = pd . concat ( series , axis = 1 ) if datetime is True : df . index = pd . to_datetime ( df . index , unit = "s" , utc = True ) return df
Create data frame

        Parameters
        ----------
        sids : list[str]
        head : int | pandas.Timestamp, optional
            Start of the interval
            default earliest available
        tail : int | pandas.Timestamp, optional
            End of the interval
            default max epoch
        datetime : bool
            convert index to datetime
            default True

        Returns
        -------
        pandas.DataFrame