如何在Julia中统一子图Y轴范围及优化分组直方图

我想要绘制一幅分组直方图，展示事件按小时（0-23时）的分布情况。由于没找到更优雅的实现方式，我用了较为低效的绘图方法，当前效果如下：

所有子图的Y轴均为log10缩放，我需要对绘图做以下调整：

• 让所有子图的Y轴保持相同范围（尝试过多种方法但未成功）；
• 添加X轴和Y轴全局标签（此前添加时每个子图都被赋予了相同的轴标签）；
• 添加分组图的全局标题（使用title = "Test"时，所有子图都被添加了该标题）。

当前代码如下：

p0 = StatsPlots.histogram((d1_0_degree), bins=50, yscale=:log10, label = "0", color = ColorSchemes.Set3_12.colors[1])
p1 = StatsPlots.histogram((d1_1_degree), bins=50, yscale=:log10, label = "1", color = ColorSchemes.Set3_12.colors[2]);
p2 = StatsPlots.histogram((d1_2_degree), bins=50, yscale=:log10, label = "2", color = ColorSchemes.Set3_12.colors[3]);
p3 = StatsPlots.histogram((d1_3_degree), bins=50, yscale=:log10, label = "3", color = ColorSchemes.Set3_12.colors[4]);
p4 = StatsPlots.histogram((d1_4_degree), bins=50, yscale=:log10, label = "4", color = ColorSchemes.Set3_12.colors[5]);
p5 = StatsPlots.histogram((d1_5_degree), bins=50, yscale=:log10, label = "5", color = ColorSchemes.Set3_12.colors[6]);
p6 = StatsPlots.histogram((d1_6_degree), bins=50, yscale=:log10, label = "6", color = ColorSchemes.Set3_12.colors[7]);
p7 = StatsPlots.histogram((d1_7_degree), bins=50, yscale=:log10, label = "7", color = ColorSchemes.Set3_12.colors[8]);
p8 = StatsPlots.histogram((d1_8_degree), bins=50, yscale=:log10, label = "8", color = ColorSchemes.Set3_12.colors[9]);
p9 = StatsPlots.histogram((d1_9_degree), bins=50, yscale=:log10, label = "9", color = ColorSchemes.Set3_12.colors[10]);
p10 = StatsPlots.histogram((d1_10_degree), bins=50, yscale=:log10, label = "10", color = ColorSchemes.Set3_12.colors[11]);
p11 = StatsPlots.histogram((d1_11_degree), bins=50, yscale=:log10, label = "11", color = ColorSchemes.Set3_12.colors[12]);
p12 = StatsPlots.histogram((d1_12_degree),  bins=50, label = "12", yscale=:log10, color = ColorSchemes.Paired_12.colors[1]);
p13 = StatsPlots.histogram((d1_13_degree),  bins=50, label = "13", yscale=:log10, color = ColorSchemes.Paired_12.colors[2]);
p14 = StatsPlots.histogram((d1_14_degree),  bins=50, label = "14", yscale=:log10, color = ColorSchemes.Paired_12.colors[3]);
p15 = StatsPlots.histogram((d1_15_degree),  bins=50, label = "15", yscale=:log10, color = ColorSchemes.Paired_12.colors[4]);
p16 = StatsPlots.histogram((d1_16_degree),  bins=50, label = "16", yscale=:log10, color = ColorSchemes.Paired_12.colors[5]);
p17 = StatsPlots.histogram((d1_17_degree),  bins=50, label = "17", yscale=:log10, color = ColorSchemes.Paired_12.colors[6]);
p18 = StatsPlots.histogram((d1_18_degree),  bins=50, label = "18", yscale=:log10, color = ColorSchemes.Paired_12.colors[7]);
p19 = StatsPlots.histogram((d1_19_degree),  bins=50, label = "19", yscale=:log10, color = ColorSchemes.Paired_12.colors[8]);
p20 = StatsPlots.histogram((d1_20_degree),  bins=50, label = "20", yscale=:log10, color = ColorSchemes.Paired_12.colors[9]);
p21 = StatsPlots.histogram((d1_21_degree),  bins=50, label = "21", yscale=:log10, color = ColorSchemes.Paired_12.colors[10]);
p22 = StatsPlots.histogram((d1_22_degree),  bins=50, label = "22", yscale=:log10, color = ColorSchemes.Paired_12.colors[11]);
p23 = StatsPlots.histogram((d1_23_degree),  bins=50, label = "23", yscale=:log10, color = ColorSchemes.Paired_12.colors[12]);

p_degreelog = Plots.plot(p0, p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12, p13, p14, p15, p16, p17, p18, p19, p20, p21, p22, p23, 
frame=:box, 
layout = (4,6), legend = true, size=(1400, 600), link=(:x) )

内容的提问来源于stack exchange，提问作者Chao