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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 view_component_planes(self, dimensions=None, figsize=None, colormap=cm.Spectral_r, colorbar=False, bestmatches=False, bestmatchcolors=None, labels=None, zoom=None, filename=None):
 """Observe the component planes in the codebook of the SOM. :param dimensions: Optional parameter to specify along which dimension or dimensions should the plotting happen. By default, each dimension is plotted in a sequence of plots. :type dimension: int or list of int. :param figsize: Optional parameter to specify the size of the figure. :type figsize: (int, int) :param colormap: Optional parameter to specify the color map to be used. :type colormap: matplotlib.colors.Colormap :param colorbar: Optional parameter to include a colormap as legend. :type colorbar: bool. :param bestmatches: Optional parameter to plot best matching units. :type bestmatches: bool. :param bestmatchcolors: Optional parameter to specify the color of each best matching unit. :type bestmatchcolors: list of int. :param labels: Optional parameter to specify the label of each point. :type labels: list of str. :param zoom: Optional parameter to zoom into a region on the map. The first two coordinates of the tuple are the row limits, the second tuple contains the column limits. :type zoom: ((int, int), (int, int)) :param filename: If specified, the plot will not be shown but saved to this file. :type filename: str. """

        if self.codebook is None:
            raise Exception("The codebook is not available. Either train a map"
                            " or load a codebook from a file")
        if dimensions is None:
            dimensions = range(self.n_dim)
        for i in dimensions:
            plt = self._view_matrix(self.codebook[:, :, i], figsize, colormap,
                                    colorbar, bestmatches, bestmatchcolors,
                                    labels, zoom, filename)
        return plt