借助this post绘制类别网格线：

• 用“标签”、“年份”对数据进行分组，然后对“总计”求和。
• 出图方式如下

import matplotlib.pyplot as plt

df = pd.DataFrame(data=[["FTP","02/2018",1000],["BBBB","02/2018",1500],["SSSS","02/2018",1400],["Dddd","02/2018",3000],["FTP","02/2017",1800],["BBBB","02/2017",1700],["SSSS","02/2017",1600],["Dddd","02/2017",1500]], columns=["Label","Year","Total"])

df = df.groupby(["Label", "Year"]) \
       .agg(Total=("Total","sum")) 

def add_line(ax, xpos, ypos):
    line = plt.Line2D([xpos, xpos], [ypos + .1, ypos],
                      transform=ax.transAxes, color='gray')
    line.set_clip_on(False)
    ax.add_line(line)

def label_len(my_index,level):
    labels = my_index.get_level_values(level)
    return [(k, sum(1 for i in g)) for k,g in itertools.groupby(labels)]

def label_group_bar_table(ax, df):
    ypos = -.1
    scale = 1./df.index.size
    for level in range(df.index.nlevels)[::-1]:
        pos = 0
        for label, rpos in label_len(df.index,level):
            lxpos = (pos + .5 * rpos)*scale
            ax.text(lxpos, ypos, label, ha='center', transform=ax.transAxes)
            add_line(ax, pos*scale, ypos)
            pos += rpos
        add_line(ax, pos*scale , ypos)
        ypos -= .1

ax = df.plot.area(figsize=(20,5))
ax.set_xticklabels("")
ax.set_xlabel("")
label_group_bar_table(ax, df)