In the provided ax object, use the function plot_timeseries to plot the "co2" column in blue, with the x-axis label "Tim

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"], "blue", "Time (years)", "CO2 levels") # Create a twin 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"], "red", "Time (years)", "Relative temperature (Celsius)") plt.show() ```