def gettrace(self, burn=0, thin=1, chain=-1, slicing=None):
        """Return the trace (last by default).

        :Parameters:
        burn : integer
          The number of transient steps to skip.
        thin : integer
          Keep one in thin.
        chain : integer
          The index of the chain to fetch. If None, return all chains. The
          default is to return the last chain.
        slicing : slice object
          A slice overriding burn and thin assignement.
        """

        if chain is not None:
            tables = [self.db._gettables()[chain], ]
        else:
            tables = self.db._gettables()

        for i, table in enumerate(tables):
            if slicing is not None:
                burn, stop, thin = slicing.start, slicing.stop, slicing.step
            if slicing is None or stop is None:
                stop = table.nrows
            col = table.read(start=burn, stop=stop, step=thin, field=self.name)
            if i == 0:
                data = np.asarray(col)
            else:
                data = np.append(data, col, axis=0)

        return data
Return the trace (last by default).

        :Parameters:
        burn : integer
          The number of transient steps to skip.
        thin : integer
          Keep one in thin.
        chain : integer
          The index of the chain to fetch. If None, return all chains. The
          default is to return the last chain.
        slicing : slice object
          A slice overriding burn and thin assignement.