计算housing和default之间的关系

housing_default = df.groupby(['housing', 'default']).size().reset_index(name='counts')

创建绘图空间

p = figure(title="Housing vs Default Relationship", x_range=housing_default['housing'], plot_height=350, plot_width=500)

绘制柱状图

p.vbar(x=housing_default['housing'], top=housing_default['counts'], width=0.9, color=['#FFC107', '#3F51B5'], legend_label=housing_default['default'])

设置图例位置

p.legend.location = "top_left"

设置图例字体大小

p.legend.label_text_font_size = "10pt"

设置x轴标签

p.xaxis.axis_label = 'Housing'

设置y轴标签

p.yaxis.axis_label = 'Counts'

输出到html文件

output_file("housing_default.html")

展示图形

show(p