def set_style(style=None, rc=None):
    """Set the aesthetic style of the plots.
    This affects things like the color of the axes, whether a grid is
    enabled by default, and other aesthetic elements.
    Parameters
    ----------
    style : dict, None, or one of {darkgrid, whitegrid, dark, white, ticks}
        A dictionary of parameters or the name of a preconfigured set.
    rc : dict, optional
        Parameter mappings to override the values in the preset seaborn
        style dictionaries. This only updates parameters that are
        considered part of the style definition.
    Examples
    --------
    >>> set_style("whitegrid")
    >>> set_style("ticks", {"xtick.major.size": 8, "ytick.major.size": 8})
    See Also
    --------
    axes_style : return a dict of parameters or use in a ``with`` statement
                 to temporarily set the style.
    set_context : set parameters to scale plot elements
    set_palette : set the default color palette for figures
    """
    style_object = axes_style(style, rc)
    mpl.rcParams.update(style_object)
Set the aesthetic style of the plots.
    This affects things like the color of the axes, whether a grid is
    enabled by default, and other aesthetic elements.
    Parameters
    ----------
    style : dict, None, or one of {darkgrid, whitegrid, dark, white, ticks}
        A dictionary of parameters or the name of a preconfigured set.
    rc : dict, optional
        Parameter mappings to override the values in the preset seaborn
        style dictionaries. This only updates parameters that are
        considered part of the style definition.
    Examples
    --------
    >>> set_style("whitegrid")
    >>> set_style("ticks", {"xtick.major.size": 8, "ytick.major.size": 8})
    See Also
    --------
    axes_style : return a dict of parameters or use in a ``with`` statement
                 to temporarily set the style.
    set_context : set parameters to scale plot elements
    set_palette : set the default color palette for figures