def plot_filters(self, info, times=None, ch_type=None, layout=None,
                     vmin=None, vmax=None, cmap='RdBu_r', sensors=True,
                     colorbar=True, scale=None, scale_time=1e3, unit='a.u.',
                     res=64, size=1, cbar_fmt='%3.1f',
                     name_format='%01d ms', proj=False, show=True,
                     show_names=False, title=None, mask=None,
                     mask_params=None, outlines='head', contours=6,
                     image_interp='bilinear', average=None, head_pos=None):

        from .. import EvokedArray

        if times is None:
            tmin = 0
            times = 'auto'
        else:
            tmin = times[0]

        # create an evoked
        filters = EvokedArray(self.filters_.T.reshape(info['nchan'], -1),
                              info, tmin=tmin)
        # the call plot_topomap
        return filters.plot_topomap(times=times, ch_type=ch_type,
                                    layout=layout, vmin=vmin, vmax=vmax,
                                    cmap=cmap, colorbar=colorbar, res=res,
                                    cbar_fmt=cbar_fmt, sensors=sensors,
                                    scale=scale, scale_time=scale_time,
                                    time_format=name_format, size=size,
                                    show_names=show_names, unit=unit,
                                    mask_params=mask_params,
                                    mask=mask, outlines=outlines,
                                    contours=contours, title=title,
                                    image_interp=image_interp, show=show,
                                    head_pos=head_pos)
Return a Set of sys.modules filenames to monitor.
dataset/ETHPy150Open mne-tools/mne-python/mne/decoding/base.py/LinearModel.plot_filters--crossover with--dataset/ETHPy150Open AppScale/appscale/AppServer/lib/cherrypy/cherrypy/process/plugins.py/Autoreloader.sysfiles