<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def view(self, channel_names='auto', gates=None, diag_kw={}, offdiag_kw={}, gate_colors=None, **kwargs):
 """ Generates a matrix of subplots allowing for a quick way to examine how the sample looks in different channels. Parameters channel_names : [list | 'auto'] List of channel names to plot. offdiag_plot : ['histogram' | 'scatter'] Specifies the type of plot for the off-diagonal elements. diag_kw : dict Not implemented Returns axes references """

        if channel_names == 'auto':
            channel_names = list(self.channel_names)

        def plot_region(channels, **kwargs):
            if channels[0] == channels[1]:
                channels = channels[0]
            kind = 'histogram'

            self.plot(channels, kind=kind, gates=gates,
                      gate_colors=gate_colors, autolabel=False)

        channel_list = np.array(list(channel_names), dtype=object)
        channel_mat = [[(x, y) for x in channel_list] for y in channel_list]
        channel_mat = DataFrame(channel_mat, columns=channel_list, index=channel_list)
        kwargs.setdefault('wspace', 0.1)
        kwargs.setdefault('hspace', 0.1)
        return plot_ndpanel(channel_mat, plot_region, **kwargs)