def plot_sector_exposures_net(net_exposures, sector_dict=None, ax=None):
    """
    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
    """

    if ax is None:
        ax = plt.gca()

    if sector_dict is None:
        sector_names = SECTORS.values()
    else:
        sector_names = sector_dict.values()

    color_list = plt.cm.gist_rainbow(np.linspace(0, 1, 11))

    for i in range(len(net_exposures)):
        ax.plot(net_exposures[i], color=color_list[i], alpha=0.8,
                label=sector_names[i])
    ax.set(title='Net exposures to sectors',
           ylabel='Proportion of net exposure \n in sectors')

    return ax
def plot_sector_exposures_net(net_exposures, sector_dict=None, ax=None):
    """
    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
    """

    if ax is None:
        ax = plt.gca()

    if sector_dict is None:
        sector_names = SECTORS.values()
    else:
        sector_names = sector_dict.values()

    color_list = plt.cm.gist_rainbow(np.linspace(0, 1, 11))

    for i in range(len(net_exposures)):
        ax.plot(net_exposures[i], color=color_list[i], alpha=0.8,
                label=sector_names[i])
    ax.set(title='Net exposures to sectors',
           ylabel='Proportion of net exposure \n in sectors')

    return ax
def plot_sector_exposures_net ( net_exposures , sector_dict = None , ax = None ) : if ax is None : ax = plt . gca ( ) if sector_dict is None : sector_names = SECTORS . values ( ) else : sector_names = sector_dict . values ( ) color_list = plt . cm . gist_rainbow ( np . linspace ( 0 , 1 , 11 ) ) for i in range ( len ( net_exposures ) ) : ax . plot ( net_exposures [ i ] , color = color_list [ i ] , alpha = 0.8 , label = sector_names [ i ] ) ax . set ( title = 'Net exposures to sectors' , ylabel = 'Proportion of net exposure \n in sectors' ) return ax
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
Plots output of compute_sector_exposures as line graphs