def plot(self, key=None, names=None, kper=0, filename_base=None, file_extension=None, mflay=None, **kwargs):
    "\n        Plot stress period boundary condition (MfList) data for a specified\n        stress period\n\n        Parameters\n        ----------\n        key : str\n            MfList dictionary key. (default is None)\n        names : list\n            List of names for figure titles. (default is None)\n        kper : int\n            MODFLOW zero-based stress period number to return. (default is zero)\n        filename_base : str\n            Base file name that will be used to automatically generate file\n            names for output image files. Plots will be exported as image\n            files if file_name_base is not None. (default is None)\n        file_extension : str\n            Valid matplotlib.pyplot file extension for savefig(). Only used\n            if filename_base is not None. (default is 'png')\n        mflay : int\n            MODFLOW zero-based layer number to return.  If None, then all\n            all layers will be included. (default is None)\n        **kwargs : dict\n            axes : list of matplotlib.pyplot.axis\n                List of matplotlib.pyplot.axis that will be used to plot\n                data for each layer. If axes=None axes will be generated.\n                (default is None)\n            pcolor : bool\n                Boolean used to determine if matplotlib.pyplot.pcolormesh\n                plot will be plotted. (default is True)\n            colorbar : bool\n                Boolean used to determine if a color bar will be added to\n                the matplotlib.pyplot.pcolormesh. Only used if pcolor=True.\n                (default is False)\n            inactive : bool\n                Boolean used to determine if a black overlay in inactive\n                cells in a layer will be displayed. (default is True)\n            contour : bool\n                Boolean used to determine if matplotlib.pyplot.contour\n                plot will be plotted. (default is False)\n            clabel : bool\n                Boolean used to determine if matplotlib.pyplot.clabel\n                will be plotted. Only used if contour=True. (default is False)\n            grid : bool\n                Boolean used to determine if the model grid will be plotted\n                on the figure. (default is False)\n            masked_values : list\n                List of unique values to be excluded from the plot.\n\n        Returns\n        ----------\n        out : list\n            Empty list is returned if filename_base is not None. Otherwise\n            a list of matplotlib.pyplot.axis is returned.\n\n        See Also\n        --------\n\n        Notes\n        -----\n\n        Examples\n        --------\n        >>> import flopy\n        >>> ml = flopy.modflow.Modflow.load('test.nam')\n        >>> ml.wel.stress_period_data.plot(ml.wel, kper=1)\n\n        "
    from flopy.plot import PlotUtilities
    axes = PlotUtilities._plot_mflist_helper(self, key=key, names=names, kper=kper, filename_base=filename_base, file_extension=file_extension, mflay=mflay, **kwargs)
    return axes
Plot stress period boundary condition (MfList) data for a specified
stress period

Parameters
----------
key : str
    MfList dictionary key. (default is None)
names : list
    List of names for figure titles. (default is None)
kper : int
    MODFLOW zero-based stress period number to return. (default is zero)
filename_base : str
    Base file name that will be used to automatically generate file
    names for output image files. Plots will be exported as image
    files if file_name_base is not None. (default is None)
file_extension : str
    Valid matplotlib.pyplot file extension for savefig(). Only used
    if filename_base is not None. (default is 'png')
mflay : int
    MODFLOW zero-based layer number to return.  If None, then all
    all layers will be included. (default is None)
**kwargs : dict
    axes : list of matplotlib.pyplot.axis
        List of matplotlib.pyplot.axis that will be used to plot
        data for each layer. If axes=None axes will be generated.
        (default is None)
    pcolor : bool
        Boolean used to determine if matplotlib.pyplot.pcolormesh
        plot will be plotted. (default is True)
    colorbar : bool
        Boolean used to determine if a color bar will be added to
        the matplotlib.pyplot.pcolormesh. Only used if pcolor=True.
        (default is False)
    inactive : bool
        Boolean used to determine if a black overlay in inactive
        cells in a layer will be displayed. (default is True)
    contour : bool
        Boolean used to determine if matplotlib.pyplot.contour
        plot will be plotted. (default is False)
    clabel : bool
        Boolean used to determine if matplotlib.pyplot.clabel
        will be plotted. Only used if contour=True. (default is False)
    grid : bool
        Boolean used to determine if the model grid will be plotted
        on the figure. (default is False)
    masked_values : list
        List of unique values to be excluded from the plot.

Returns
----------
out : list
    Empty list is returned if filename_base is not None. Otherwise
    a list of matplotlib.pyplot.axis is returned.

See Also
--------

Notes
-----

Examples
--------
>>> import flopy
>>> ml = flopy.modflow.Modflow.load('test.nam')
>>> ml.wel.stress_period_data.plot(ml.wel, kper=1)
def plot(self, key=None, names=None, kper=0, filename_base=None, file_extension=None, mflay=None, **kwargs):
    "\n        Plot stress period boundary condition (MfList) data for a specified\n        stress period\n\n        Parameters\n        ----------\n        key : str\n            MfList dictionary key. (default is None)\n        names : list\n            List of names for figure titles. (default is None)\n        kper : int\n            MODFLOW zero-based stress period number to return. (default is zero)\n        filename_base : str\n            Base file name that will be used to automatically generate file\n            names for output image files. Plots will be exported as image\n            files if file_name_base is not None. (default is None)\n        file_extension : str\n            Valid matplotlib.pyplot file extension for savefig(). Only used\n            if filename_base is not None. (default is 'png')\n        mflay : int\n            MODFLOW zero-based layer number to return.  If None, then all\n            all layers will be included. (default is None)\n        **kwargs : dict\n            axes : list of matplotlib.pyplot.axis\n                List of matplotlib.pyplot.axis that will be used to plot\n                data for each layer. If axes=None axes will be generated.\n                (default is None)\n            pcolor : bool\n                Boolean used to determine if matplotlib.pyplot.pcolormesh\n                plot will be plotted. (default is True)\n            colorbar : bool\n                Boolean used to determine if a color bar will be added to\n                the matplotlib.pyplot.pcolormesh. Only used if pcolor=True.\n                (default is False)\n            inactive : bool\n                Boolean used to determine if a black overlay in inactive\n                cells in a layer will be displayed. (default is True)\n            contour : bool\n                Boolean used to determine if matplotlib.pyplot.contour\n                plot will be plotted. (default is False)\n            clabel : bool\n                Boolean used to determine if matplotlib.pyplot.clabel\n                will be plotted. Only used if contour=True. (default is False)\n            grid : bool\n                Boolean used to determine if the model grid will be plotted\n                on the figure. (default is False)\n            masked_values : list\n                List of unique values to be excluded from the plot.\n\n        Returns\n        ----------\n        out : list\n            Empty list is returned if filename_base is not None. Otherwise\n            a list of matplotlib.pyplot.axis is returned.\n\n        See Also\n        --------\n\n        Notes\n        -----\n\n        Examples\n        --------\n        >>> import flopy\n        >>> ml = flopy.modflow.Modflow.load('test.nam')\n        >>> ml.wel.stress_period_data.plot(ml.wel, kper=1)\n\n        "
    from flopy.plot import PlotUtilities
    axes = PlotUtilities._plot_mflist_helper(self, key=key, names=names, kper=kper, filename_base=filename_base, file_extension=file_extension, mflay=mflay, **kwargs)
    return axes