def plot_sector_exposures_net(net_exposures, sector_dict=None, ax=None):
if ax is None:<EOL><INDENT>ax = plt.gca()<EOL><DEDENT>if sector_dict is None:<EOL><INDENT>sector_names = SECTORS.values()<EOL><DEDENT>else:<EOL><INDENT>sector_names = sector_dict.values()<EOL><DEDENT>color_list = plt.cm.gist_rainbow(np.linspace(<NUM_LIT:0>, <NUM_LIT:1>, <NUM_LIT:11>))<EOL>for i in range(len(net_exposures)):<EOL><INDENT>ax.plot(net_exposures[i], color=color_list[i], alpha=<NUM_LIT>,<EOL>label=sector_names[i])<EOL><DEDENT>ax.set(title='<STR_LIT>',<EOL>ylabel='<STR_LIT>')<EOL>return ax<EOL>
Plots output of compute_sector_exposures as line graphs

Parameters
----------
net_exposures : arrays
    Arrays of net sector exposures (output of compute_sector_exposures).

sector_dict : dict or OrderedDict
    Dictionary of all sectors
    - See full description in compute_sector_exposures