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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 map(self, func, *args, **kwargs):
 """ Apply a plotting function to each facet's subset of the data. Parameters func : callable A plotting function that takes data and keyword arguments. It must plot to the currently active matplotlib Axes and take a `color` keyword argument. If faceting on the `hue` dimension, it must also take a `label` keyword argument. args : strings Column names in self.data that identify variables with data to plot. The data for each variable is passed to `func` in the order the variables are specified in the call. kwargs : keyword arguments All keyword arguments are passed to the plotting function. Returns ------- self : FacetGrid object """

        plt = import_matplotlib_pyplot()

        for ax, namedict in zip(self.axes.flat, self.name_dicts.flat):
            if namedict is not None:
                data = self.data.loc[namedict]
                plt.sca(ax)
                innerargs = [data[a].values for a in args]
                maybe_mappable = func(*innerargs, **kwargs)
                # TODO: better way to verify that an artist is mappable?
                # https://stackoverflow.com/questions/33023036/is-it-possible-to-detect-if-a-matplotlib-artist-is-a-mappable-suitable-for-use-w#33023522
                if (maybe_mappable and
                   hasattr(maybe_mappable, 'autoscale_None')):
                    self._mappables.append(maybe_mappable)

        self._finalize_grid(*args[:2])

        return self