def METHOD_NAME(data_table,bin_size,ci_limits=[-1.0, -1.0],plot_title=None):
    fig = plt.figure(figsize=(11, 8.5))
    ax1 = fig.add_subplot(111)
    plt.scatter(data_table['CI'], data_table['FWHM'], marker=".", s=10, color="blue")
    if ci_limits[0] != -1.0 and ci_limits[1] != -1.0:
        ax1.axvline(x=ci_limits[0], color='k', linestyle='--')
        ax1.axvline(x=ci_limits[1], color='k', linestyle='--')
    full_plot_title = "Binned CI vs Mean FWHM value; CI binsize = {}".format(bin_size)
    if plot_title:
        full_plot_title = "{}\n{}".format(plot_title,full_plot_title)
    ax1.set_title(full_plot_title)
    ax1.set_xlabel("CI")
    ax1.set_ylabel("Mean FWHM Value (Pixels)")
    ax1.grid(True)
    plt.show()