

def plot_evoked_topo(evoked, layout=None, layout_scale=0.945, color=None, border='none', ylim=None, scalings=None, title=None, proj=False, vline=[0.0], fig_facecolor='k', fig_background=None, axis_facecolor='k', font_color='w', merge_grads=False, show=True):
    "Plot 2D topography of evoked responses.\n\n    Clicking on the plot of an individual sensor opens a new figure showing\n    the evoked response for the selected sensor.\n\n    Parameters\n    ----------\n    evoked : list of Evoked | Evoked\n        The evoked response to plot.\n    layout : instance of Layout | None\n        Layout instance specifying sensor positions (does not need to\n        be specified for Neuromag data). If possible, the correct layout is\n        inferred from the data.\n    layout_scale: float\n        Scaling factor for adjusting the relative size of the layout\n        on the canvas\n    color : list of color objects | color object | None\n        Everything matplotlib accepts to specify colors. If not list-like,\n        the color specified will be repeated. If None, colors are\n        automatically drawn.\n    border : str\n        matplotlib borders style to be used for each sensor plot.\n    ylim : dict | None\n        ylim for plots (after scaling has been applied). The value\n        determines the upper and lower subplot limits. e.g.\n        ylim = dict(eeg=[-20, 20]). Valid keys are eeg, mag, grad, misc.\n        If None, the ylim parameter for each channel is determined by\n        the maximum absolute peak.\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    title : str\n        Title of the figure.\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    vline : list of floats | None\n        The values at which to show a vertical line.\n    fig_facecolor : str | obj\n        The figure face color. Defaults to black.\n    fig_background : None | numpy ndarray\n        A background image for the figure. This must work with a call to\n        plt.imshow. Defaults to None.\n    axis_facecolor : str | obj\n        The face color to be used for each sensor plot. Defaults to black.\n    font_color : str | obj\n        The color of text in the colorbar and title. Defaults to white.\n    merge_grads : bool\n        Whether to use RMS value of gradiometer pairs. Only works for Neuromag\n        data. Defaults to False.\n    show : bool\n        Show figure if True.\n\n    Returns\n    -------\n    fig : instance of matplotlib.figure.Figure\n        Images of evoked responses at sensor locations\n    "
    return _plot_evoked_topo(evoked=evoked, layout=layout, layout_scale=layout_scale, color=color, border=border, ylim=ylim, scalings=scalings, title=title, proj=proj, vline=vline, fig_facecolor=fig_facecolor, fig_background=fig_background, axis_facecolor=axis_facecolor, font_color=font_color, merge_grads=merge_grads, show=show)

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