

def plot_evoked_image(evoked, picks=None, exclude='bads', unit=True, show=True, clim=None, xlim='tight', proj=False, units=None, scalings=None, titles=None, axes=None, cmap='RdBu_r'):
    "Plot evoked data as images\n\n    Parameters\n    ----------\n    evoked : instance of Evoked\n        The evoked data\n    picks : array-like of int | None\n        The indices of channels to plot. If None show all.\n    exclude : list of str | 'bads'\n        Channels names to exclude from being shown. If 'bads', the\n        bad channels are excluded.\n    unit : bool\n        Scale plot with channel (SI) unit.\n    show : bool\n        Show figure if True.\n    clim : dict | None\n        clim for plots (after scaling has been applied). e.g.\n        clim = dict(eeg=[-20, 20])\n        Valid keys are eeg, mag, grad, misc. If None, the clim parameter\n        for each channel equals the pyplot default.\n    xlim : 'tight' | tuple | None\n        xlim for plots.\n    proj : bool | 'interactive'\n        If true SSP projections are applied before display. If 'interactive',\n        a check box for reversible selection of SSP projection vectors will\n        be shown.\n    units : dict | None\n        The units of the channel types used for axes lables. If None,\n        defaults to `dict(eeg='uV', grad='fT/cm', mag='fT')`.\n    scalings : dict | None\n        The scalings of the channel types to be applied for plotting. If None,`\n        defaults to `dict(eeg=1e6, grad=1e13, mag=1e15)`.\n    titles : dict | None\n        The titles associated with the channels. If None, defaults to\n        `dict(eeg='EEG', grad='Gradiometers', mag='Magnetometers')`.\n    axes : instance of Axis | list | None\n        The axes to plot to. If list, the list must be a list of Axes of\n        the same length as the number of channel types. If instance of\n        Axes, there must be only one channel type plotted.\n    cmap : matplotlib colormap\n        Colormap.\n\n    Returns\n    -------\n    fig : instance of matplotlib.figure.Figure\n        Figure containing the images.\n    "
    return _plot_evoked(evoked=evoked, picks=picks, exclude=exclude, unit=unit, show=show, ylim=clim, proj=proj, xlim=xlim, hline=None, units=units, scalings=scalings, titles=titles, axes=axes, plot_type='image', cmap=cmap)

dataset/ETHPy150Open mne-tools/mne-python/mne/viz/evoked.py plot_evoked_image/original