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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _obsolete_plot_el_abund_marco(directory,name_h5_file,mass_range,cycle,logic_stable,i_decay,file_solar,solar_factor,symbol='ko'):
 """ Interface to plot elements abundances averaged over mass_range. Parameters directory : string Location of h5 file to plot. Needed for plot_tools. name_h5_file : string Name of h5 file. Needed for plot_tools. mass_range : list A 1x2 array required to plot data in a certain mass range. Needed for _read_iso_abund_marco. cycle : integer which cycle from the h5 file?. Needed for _read_iso_abund_marco. logic_stable : boolean Do you want to plot only stable or not. i_decay : integer If i_decay is 1, then plot not decayed. If i_decay is 2, then plot decayed. Make sense only if stable is true. file_solar : string File where to take solar abundances. solar_factor : float value to correct initial abundances to solar, e.g. for Z=0.01 and AG89 solar_factor = 2. See Also -------- se._read_iso_abund_marco() """


    # provide library for Z versus element names, and Z for elements
    u.give_zip_element_z_and_names()
    # solar abundances are read here
    u.solar(file_solar,solar_factor)
    # from here I have average abundances in mass_range to plot
    average_iso_abund_marco(mass_range,cycle,logic_stable,i_decay)
    # element abundances are calculated here
    mass_fractions_array_decayed = average_mass_frac_decay
    mass_fractions_array_not_decayed = average_mass_frac
    u.element_abund_marco(i_decay,stable,jjdum,mass_fractions_array_not_decayed,mass_fractions_array_decayed)


    fig = pl.figure()            # Figure object
    ax = fig.add_subplot(1,1,1)     # Axes object: one row, one column, first plot (one plot!)
    # Tick marks
    xminorlocator = MultipleLocator(1)
    xmajorlocator = MultipleLocator(10)
    ax.xaxis.set_major_locator(xmajorlocator)
    ax.xaxis.set_minor_locator(xminorlocator)
    yminorlocator = MultipleLocator(0.1)
    ymajorlocator = MultipleLocator(1)
    ax.yaxis.set_major_locator(ymajorlocator)
    ax.yaxis.set_minor_locator(yminorlocator)

    ax.set_yscale('log')

    if not logic_stable:
        for i in range(u.z_bismuth):
            pl.plot(z_for_elem[i],elem_prod_fac[i],symbol,markersize=10.)

        pl.xlabel('$Atomic$ $number$', fontsize=20)
        pl.ylabel('$X_{i}/X_{sun}$', fontsize=20)

        pl.ylim(1.0e-2,1000.)
        pl.xlim(0,95)

    elif logic_stable:
        for i in range(u.z_bismuth):
            if index_stable[i] == 1:
                continue
                #pl.plot(z_for_elem[i],elem_prod_fac[i],'ko')
        if i_decay == 2:
            for i in range(u.z_bismuth):
                if index_stable[i] == 1:
                    pl.plot(z_for_elem[i],elem_prod_fac_decayed[i],symbol,markersize=10.)

        pl.xlabel('$Atomic$ $number$', fontsize=20)
        pl.ylabel('$X_{i}/X_{sun}$', fontsize=20)

        pl.ylim(1.0e-2,1000.)
        pl.xlim(0,95)



    pl.grid()
    pl.show()