How to use the hikyuu.interactive.drawplot.ax_set_locator_formatter function in hikyuu

elif engine == 'echarts':
        vol.bar(axes=ax2, color='r')
    else:
        pass
    
    vma1 = MA(vol, vma1_n)
    vma2 = MA(vol, vma2_n)
    vma1.plot(axes=ax2, legend_on=True)
    vma2.plot(axes=ax2, legend_on=True)
    
    if query.kType == Query.WEEK and stock.market == 'SH' and stock.code=='000001':
        CVAL(0.16e+009, total, color='b',linestyle='--')
        #ax2.hlines(0.16e+009,0,len(kdata),color='b',linestyle='--')

    ax_set_locator_formatter(ax1, kdata.getDatetimeList(), kdata.getQuery().kType)
    adjust_axes_show([ax1, ax2])
    return show_gcf()

ax2.bar(x2, y2, width=0.4, color='g', edgecolor='g')
   
    elif engine == 'echarts':
        vol.bar(axes=ax2, color='r', legend_on=True)
    else:
        pass
        
    vma1 = MA(vol, vma1_n)
    vma2 = MA(vol, vma2_n)
    vma1.plot(axes=ax2, legend_on=True)
    vma2.plot(axes=ax2, legend_on=True)
    
    ax_draw_macd(ax3, kdata)

    ax1.set_xlim((0, len(kdata)))
    ax_set_locator_formatter(ax1, kdata.getDatetimeList(), kdata.getQuery().kType)
    adjust_axes_show([ax1, ax2, ax3])
    return show_gcf()

umean = mean(u)
    umax = max(u)
    lmean = mean(l)
    lmin = min(l)
    up = int(umax / umean)
    lp = int(lmin / lmean)
    for i in range(up):
        CVAL(close, umean * (i + 1)).plot(axes=ax3, color='r', linestyle='--')
        #ax3.hlines(umean * (i + 1),0,len(kdata),color='r',linestyle='--')
        
    for i in range(lp):
        CVAL(close, lmean * (i + 1)).plot(axes=ax3, color='g', linestyle='--')
        #ax3.hlines(lmean * (i + 1),0,len(kdata),color='g',linestyle='--')    
    
    ax1.set_xlim((0, len(kdata)))
    ax_set_locator_formatter(ax1, kdata.getDatetimeList(), kdata.getQuery().kType)
    adjust_axes_show([ax1, ax2, ax3])
    return show_gcf()

label = "ER(%s)" % cer[-1]
    cer.plot(axes=ax2, color='b', marker='o', label=label, 
             legend_on=False, text_on=True)
    
    total = len(kdata)
    CVAL(0.8, total).plot(axes=ax2,color='r',linestyle='--')
    CVAL(-0.6, total).plot(axes=ax2,color='r',linestyle='--')
    CVAL(-0.8, total).plot(axes=ax2,color='r',linestyle='--')
    CVAL(0, total).plot(axes=ax2,color='k',linestyle='-')
    #ax2.hlines(0.8,0,len(kdata),color='r',linestyle='--')    
    #ax2.hlines(-0.6,0,len(kdata),color='r',linestyle='--')
    #ax2.hlines(-0.8,0,len(kdata),color='r',linestyle='--')
    #ax2.hlines(0,0,len(kdata))
    
    ax1.set_xlim((0, len(kdata)))
    ax_set_locator_formatter(ax1, kdata.getDatetimeList(), query.kType)
    adjust_axes_show([ax1, ax2])
    return show_gcf()

cer.plot(axes=ax3, color='b', marker='.', label=label, 
                 legend_on=False, text_on=True)
        CVAL(0.8, total).plot(axes=ax2,color='r',linestyle='--')
        CVAL(-0.6, total).plot(axes=ax2,color='r',linestyle='--')
        CVAL(-0.8, total).plot(axes=ax2,color='r',linestyle='--')
        CVAL(0, total).plot(axes=ax2,color='k',linestyle='-')
        #ax3.hlines(0.8,0,len(kdata),color='r',linestyle='--')    
        #ax3.hlines(-0.6,0,len(kdata),color='r',linestyle='--')
        #ax3.hlines(-0.8,0,len(kdata),color='r',linestyle='--')
        #ax3.hlines(0,0,len(kdata))
    else:
        ax_draw_macd(ax2, kdata)
    #ax2.set_ylim(-1, 1)
    
    ax1.set_xlim((0, len(kdata)))
    ax_set_locator_formatter(ax1, kdata.getDatetimeList(), query.kType)
    adjust_axes_show([ax1, ax2])
    return show_gcf()

ax2.bar(x2, y2, width=0.4, color='g', edgecolor='g')
   
    elif engine == 'echarts':
        vol.bar(axes=ax2, color='r', legend_on=True)
    else:
        pass
        
    vma1 = MA(vol, vma1_n)
    vma2 = MA(vol, vma2_n)
    vma1.plot(axes=ax2, legend_on=True)
    vma2.plot(axes=ax2, legend_on=True)
    
    ax_draw_macd(ax3, kdata)

    ax1.set_xlim((0, len(kdata)))
    ax_set_locator_formatter(ax1, kdata.getDatetimeList(), kdata.getQuery().kType)
    adjust_axes_show([ax1, ax2, ax3])
    return show_gcf()

umean = mean(u)
    umax = max(u)
    lmean = mean(l)
    lmin = min(l)
    up = int(umax / umean)
    lp = int(lmin / lmean)
    for i in range(up):
        CVAL(umean * (i + 1), len(kdata)).plot(axes=ax3, color='r', linestyle='--')
        #ax3.hlines(umean * (i + 1),0,len(kdata),color='r',linestyle='--')
        
    for i in range(lp):
        CVAL(lmean * (i + 1), len(kdata)).plot(axes=ax3, color='g', linestyle='--')
        #ax3.hlines(lmean * (i + 1),0,len(kdata),color='g',linestyle='--')    
    
    ax1.set_xlim((0, len(kdata)))
    ax_set_locator_formatter(ax1, kdata.getDatetimeList(), kdata.getQuery().kType)
    adjust_axes_show([ax1, ax2, ax3])
    return show_gcf()

elif engine == 'echarts':
        vol.bar(axes=ax2, color='r')
    else:
        pass
    
    vma1 = MA(vol, vma1_n)
    vma2 = MA(vol, vma2_n)
    vma1.plot(axes=ax2, legend_on=True)
    vma2.plot(axes=ax2, legend_on=True)
    
    if query.kType == Query.WEEK and stock.market == 'SH' and stock.code=='000001':
        CVAL(0.16e+009, total, color='b',linestyle='--')
        #ax2.hlines(0.16e+009,0,len(kdata),color='b',linestyle='--')

    ax_set_locator_formatter(ax1, kdata.getDatetimeList(), kdata.getQuery().kType)
    adjust_axes_show([ax1, ax2])
    return show_gcf()