human
Solve the following python programming problem given the following code:
def plot_transmission(solution, tech = 'hvac', carrier = 'power', labels = 'utilization', figsize = (15, 15), fontsize = 9, show_scale = True, ax = None, **kwargs) : 
    "
    Plot transmission links on a map. Requires that model metadata have
    been defined with a lat/lon for each model location and a boundary for
    the map display.

    Requires Basemap and NetworkX to be installed.

    Parameters
    ----------
    solution : solution container
    tech : str, default 'hvac'
        Which transmission technology to plot.
    carrier : str, default 'power'
        Which carrier to plot transmission for.
    labels : str, default 'utilization'
        Determines how transmission links are labeled, either
        `transmission` or `utilization`.
    figsize : (int, int), default (15, 15)
        Size of resulting figure.
    fontsize : int, default 9
        Font size of figure labels.
    show_scale : bool, default True
        Plot a distance scale on the map.
    ax : matplotlib axes, default None
    **kwargs : are passed to ``analysis_utils.plot_graph_on_map()``

    " 
    import networkx as nx 
    def get_edge_capacity(solution, a, b) : 
        hrs = solution ['time_res'].to_pandas ().sum () 
        cap = (solution ['e_cap_net'].loc [dict (x = a, y = ('{}:'.format (tech) + b))].value () * hrs) 
        return cap 
zones = sorted (list (solution.coords ['x'].values)) 
    trans_tech = (lambda x : '{}:{}'.format (tech, x)) 
    def get_annual_power_transmission(zone) : 
        try : 
            return solution ['e'].loc [dict (c = carrier, y = trans_tech (zone))].sum (dim = 't').value () 
except KeyError : 
            return 0 
df = pd.DataFrame ({ zone : get_annual_power_transmission (zone) for zone in zones }, index = zones) 
    df [(df < 0)] = 0 
    G = nx.from_numpy_matrix (df.as_matrix ().T, create_using = nx.DiGraph ()) 
    G = nx.relabel_nodes (G, dict (list (zip (list (range (len (zones))), zones)))) 
    edge_transmission = { edge : int (round ((df.at [(edge [1], edge [0])] /...

    
    

    Fix the buggy line: (ax, m) = au.plot_graph_on_map (kwargs.config_model, G = G, edge_colors = edge_colors, edge_labels = edge_labels, figsize = figsize, fontsize = fontsize, ax = ax, show_scale = show_scale, ** kwargs)
assistant
#Here is Python program to fix the buggy line: (ax, m) = au.

(ax, m) = au.plot_graph_on_map (solution.config_model, G = G, edge_colors = edge_colors, edge_labels = edge_labels, figsize = figsize, fontsize = fontsize, ax = ax, show_scale = show_scale, ** kwargs)