Barplots of carbon emissions in Tg C (left) and Mg C /ha (right)

plotter.py

def simple_plotter(df, col_names, net_name, legend, fname):
    periods = np.arange(2002, 2016, 2)
    # Required, otherwise labels are shifted for some reason.
    df['period'] = periods
    ax1 = df.plot(x='period', y=col_names, kind='bar', stacked=True, 
                  figsize = FIGSIZE, rot=0, use_index=False)
    df.plot(x='period', y=net_name,kind='line', linestyle='-', marker='o', 
            color='black', ax=ax1, figsize=FIGSIZE, use_index=False, rot=0)
    
    # Required to avoid figure being cut
    plt.autoscale()

    # Needed here otherwise gets overridden below
    plt.legend(legend,  bbox_to_anchor=(0.5 ,-0.3), ncol=2, loc='center', facecolor='white')

    # Create secondary axis
    ax2 = ax1.twinx()
    ax2.grid(None)

    # Get params from ax1 and set the same for ax2
    ax2.set_ylim(ax1.get_ylim())
    ax2_ticks = ax2.get_yticks() / TOT_AREA
    ax2.set_yticks(ax2_ticks)

    # RE set ylim after modifying the ticks
    ax2_ylim = list(ax2.get_ylim())
    ax2.set_ylim([i / TOT_AREA  for i in ax2_ylim])
    # Format ticks to be legible
    ax1.get_yaxis().set_major_formatter(FORMATTER1)
    ax2.get_yaxis().set_major_formatter(FORMATTER2)
    
    # Set x ticks and labels
    ax1.set_xticklabels(periods)
    ax1.set_ylabel(YLABEL1)
    ax2.set_ylabel(YLABEL2)
    ax1.set_xlabel(XLABEL)

    plt.axhline(color='black', linewidth=0.5)

    plt.tight_layout()
    plt.savefig(SAVE_PATH.joinpath(fname))