A helper function to plot data with multiple axes using Python's matplotlib. Adjust to your needs. Obviously needs some clean up.

plot_multiple_axes.py

def plot_multiple_axes(data, columns, x= "timestamp", colors=["black", "r-", "g-", "c-", "m-", "y-"], window=60):
    """
    TODO: Needs some clean up
    :type data: pandas.DataFrame
    :type columns: list of str
    """
  
    fig, host = plt.subplots(figsize=(20, 4))
    axes = [host] + [host.twinx() for c in range(1, len(columns))]
    
    # spines
    for i in range(1,len(columns)):
        axes[i].spines["right"].set_position(("axes", 1.0 + (i-1) * 0.07))
        
    # axis labels
    for i in range(0,len(columns)):
        axes[i].set_ylabel(columns[i])
    
    # plots
    def draw(i):
        if i is 0:
            linewidth=2
        else:
            linewidth=1
        p, = axes[i].plot(data[x], data[columns[i]].rolling(window=window,center=False).mean(), colors[i], label=columns[i], linewidth=linewidth)
        axes[i].yaxis.label.set_color(p.get_color())
        return p
    
    plots = [draw(i) for i in range(0,len(columns))]
    host.legend(plots, [p.get_label() for p in plots])
    
    plt.show()