计算房贷和违约比例

housing_count = df['housing'].value_counts() default_count = df['default'].value_counts() housing_ratio = round(housing_count[1] / len(df), 2) default_ratio = round(default_count[1] / len(df), 2)

创建条形图

p = figure(title="Housing and Default Ratio", x_range=["Housing", "Default"], y_range=(0, 1), plot_width=400, plot_height=400) p.vbar(x=["Housing"], top=[housing_ratio], width=0.5, color='#FFC107') p.vbar(x=["Default"], top=[default_ratio], width=0.5, color='#2196F3')

设置样式

p.title.text_font_size = '20pt' p.xaxis.axis_label_text_font_size = '16pt' p.yaxis.axis_label_text_font_size = '16pt' p.xaxis.major_label_text_font_size = '14pt' p.yaxis.major_label_text_font_size = '14pt'

输出文件

output_file("housing_default_ratio.html")

显示图形

show(p