计算housing和default关系

housing_default = df.groupby('housing')['default'].value_counts(normalize=True).unstack() housing_default

创建绘图空间

p = figure(x_range=housing_default.index.tolist(), plot_height=350, title="Housing vs Default", toolbar_location=None, tools="")

添加柱状图

p.vbar_stack(housing_default.columns.tolist(), x='housing', width=0.9, color=["#c9d9d3", "#718dbf"], source=housing_default, legend_label=housing_default.columns.tolist())

设置图例位置

p.legend.location = "top_right" p.legend.orientation = "vertical"

设置x轴标签

p.xaxis.axis_label = "Housing"

设置y轴标签

p.yaxis.axis_label = "Percentage"

输出图像

output_file("housing_default.html") show(p