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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def plot(self, plot_grouped=False, dates=None, min_dets=1, rate=False, **kwargs):
 """ Plot the cumulative detections in time. :type plot_grouped: bool :param plot_grouped: Whether to plot all families together (plot_grouped=True), or each as a separate line. :type dates: list :param dates: list of obspy.core.UTCDateTime objects bounding the plot. The first should be the start date, the last the end date. :type min_dets: int :param min_dets: Plot only families with this number of detections or more. :type rate: bool :param rate: Whether or not to plot the daily rate of detection as opposed to cumulative number. Only works with plot_grouped=True. :param \**kwargs: Any other arguments accepted by :func:`eqcorrscan.utils.plotting.cumulative_detections` .. rubric:: Examples Plot cumulative detections for all templates individually: Plot cumulative detections for all templates grouped together: Plot the rate of detection for all templates grouped together: Plot cumulative detections for all templates with more than five detections between June 1st, 2012 and July 31st, 2012: """

        all_dets = []
        if dates:
            new_party = self.filter(dates=dates, min_dets=min_dets)
            for fam in new_party.families:
                all_dets.extend(fam.detections)
        else:
            for fam in self.families:
                all_dets.extend(fam.detections)
        fig = cumulative_detections(detections=all_dets,
                                    plot_grouped=plot_grouped,
                                    rate=rate, **kwargs)
        return fig