def METHOD_NAME(self, line=''):
    """Set up matplotlib to work interactively.
    This function lets you activate matplotlib interactive support
    at any point during an IPython session. It does not import anything
    into the interactive namespace.
    If you are using the inline matplotlib backend in the IPython Notebook
    you can set which figure formats are enabled using the following::
        In [1]: from matplotlib_inline.backend_inline import set_matplotlib_formats
        In [2]: set_matplotlib_formats('pdf', 'svg')
    The default for inline figures sets `bbox_inches` to 'tight'. This can
    cause discrepancies between the displayed image and the identical
    image created using `savefig`. This behavior can be disabled using the
    `%config` magic::
        In [3]: %config InlineBackend.print_figure_kwargs = {'bbox_inches':None}
    In addition, see the docstrings of
    `matplotlib_inline.backend_inline.set_matplotlib_formats` and
    `matplotlib_inline.backend_inline.set_matplotlib_close` for more information on
    changing additional behaviors of the inline backend.
    Examples
    --------
    To enable the inline backend for usage with the IPython Notebook::
        In [1]: %matplotlib inline
    In this case, where the matplotlib default is TkAgg::
        In [2]: %matplotlib
        Using matplotlib backend: TkAgg
    But you can explicitly request a different GUI backend::
        In [3]: %matplotlib qt
    You can list the available backends using the -l/--list option::
       In [4]: %matplotlib --list
       Available matplotlib backends: ['osx', 'qt4', 'qt5', 'gtk3', 'gtk4', 'notebook', 'wx', 'qt', 'nbagg',
       'gtk', 'tk', 'inline']
    """
    args = magic_arguments.parse_argstring(self.METHOD_NAME, line)
    if args.list:
        backends_list = list(backends.keys())
        print("Available matplotlib backends: %s" % backends_list)
    else:
        gui, backend = self.shell.enable_matplotlib(args.gui.lower() if isinstance(args.gui, str) else args.gui)
        self._show_matplotlib_backend(args.gui, backend)