对marital列进行分组统计

marital_count = df.groupby('marital')['marital'].count()

对age列进行分组统计

age_count = df.groupby('age')['age'].count()

创建柱形图

p = figure(x_range=list(marital_count.index), plot_height=350, title="Marital Status Count", toolbar_location=None, tools="")

添加柱形

p.vbar(x=list(marital_count.index), top=marital_count.values, width=0.9)

添加鼠标悬停提示

p.add_tools(HoverTool(tooltips=[("Marital Status", "@x"), ("Count", "@top")]))

设置x轴标签角度

p.xaxis.major_label_orientation = 0.8

创建柱形图

p2 = figure(x_range=list(age_count.index), plot_height=350, title="Age Count", toolbar_location=None, tools="")

添加柱形

p2.vbar(x=list(age_count.index), top=age_count.values, width=0.9)

添加鼠标悬停提示

p2.add_tools(HoverTool(tooltips=[("Age", "@x"), ("Count", "@top")]))

设置x轴标签角度

p2.xaxis.major_label_orientation = 0.8

显示图表

show(row(p, p2)