Save the data set as an hdf5 file (qpimage.QPSeries format)

        Parameters
        ----------
        h5file: str, pathlib.Path, or h5py.Group
            Where to store the series data
        qpi_slice: tuple of (slice, slice)
            If not None, only store a slice of each QPImage
            in `h5file`. A value of None is equivalent to
            ``(slice(0, -1), slice(0, -1))``.
        series_slice: slice
            If None, save the entire series, otherwise only save
            the images specified by this slice.
        time_interval: tuple of (float, float)
            If not None, only stores QPImages that were recorded
            within the given time interval.
        count, max_count: multiprocessing.Value
            Can be used to monitor the progress of the algorithm.
            Initially, the value of `max_count.value` is incremented
            by the total number of steps. At each step, the value
            of `count.value` is incremented.

        Notes
        -----
        The series "identifier" meta data is only set when all
        of `qpi_slice`, `series_slice`, and `time_interval`
        are None.

def saveh5(self, h5file, qpi_slice=None, series_slice=None,
               time_interval=None, count=None, max_count=None):
        """Save the data set as an hdf5 file (qpimage.QPSeries format)

        Parameters
        ----------
        h5file: str, pathlib.Path, or h5py.Group
            Where to store the series data
        qpi_slice: tuple of (slice, slice)
            If not None, only store a slice of each QPImage
            in `h5file`. A value of None is equivalent to
            ``(slice(0, -1), slice(0, -1))``.
        series_slice: slice
            If None, save the entire series, otherwise only save
            the images specified by this slice.
        time_interval: tuple of (float, float)
            If not None, only stores QPImages that were recorded
            within the given time interval.
        count, max_count: multiprocessing.Value
            Can be used to monitor the progress of the algorithm.
            Initially, the value of `max_count.value` is incremented
            by the total number of steps. At each step, the value
            of `count.value` is incremented.

        Notes
        -----
        The series "identifier" meta data is only set when all
        of `qpi_slice`, `series_slice`, and `time_interval`
        are None.
        """
        # set up slice to export
        if series_slice is None:
            sl = range(len(self))
        else:
            sl = range(series_slice.start, series_slice.stop)
        # set up time interval
        if time_interval is None:
            ta = -np.inf
            tb = np.inf
        else:
            ta, tb = time_interval
        # set max_count according to slice
        if max_count is not None:
            max_count.value += len(sl)

        qpskw = {"h5file": h5file,
                 "h5mode": "w",
                 }

        if (qpi_slice is None and
            series_slice is None and
                time_interval is None):
            # Only add series identifier if series complete.
            # (We assume that if any of the above kwargs is set,
            # the series data is somehow modified)
            qpskw["identifier"] = self.identifier

        with qpimage.QPSeries(**qpskw) as qps:
            increment = 0
            for ii in sl:
                ti = self.get_time(ii)
                if ti < ta or ti > tb:
                    # Not part of the series
                    pass
                else:
                    increment += 1
                    if increment == 1 or len(self._bgdata) != 1:
                        # initial image or series data where each image
                        # has a unique background image
                        qpi = self.get_qpimage(ii)
                        if qpi_slice is not None:
                            qpi = qpi[qpi_slice]
                        qps.add_qpimage(qpi)
                    else:
                        # hard-link the background data
                        qpiraw = self.get_qpimage_raw(ii)
                        if qpi_slice is not None:
                            qpiraw = qpiraw[qpi_slice]
                        qps.add_qpimage(qpiraw, bg_from_idx=0)
                if count is not None:
                    count.value += 1