Use the plot_timeseries function to plot CO2 levels against time. Set xlabel to "Time (years)" ylabel to "CO2 levels" an

下面是完整代码： ```python fig, ax = plt.subplots() # Plot the CO2 levels time-series in blue plot_timeseries(ax, climate_change.index, climate_change["co2"], "Time (years)", "CO2 levels", "blue") # Create an Axes object that shares the x-axis ax2 = ax.twinx() # Plot the relative temperature data in red plot_timeseries(ax2, climate_change.index, climate_change["relative_temp"], "Time (years)", "Relative temp (Celsius)", "red") # Annotate point with relative temperature >1 degree ax2.annotate(">1 degree", xy=(pd.Timestamp('2008-10-06'), -0.2), xytext=(pd.Timestamp('2015-10-06'), 1), arrowprops={'arrowstyle':'->', 'color':'gray'}) plt.show() ```