使用python的bokeh库对lending_rate3m的平均值和job进行可视化分析from bokehplotting import figure showoutput_fileimport numpy as npimport pandas as pdimport pandasdf = pdread_csvrUsersfuchuanruoDesktop可视化作业实践traincsvtest
数据预处理
df = df.dropna(subset=['lending_rate3m', 'job']) df_mean = df.groupby('job')['lending_rate3m'].mean().reset_index()
可视化分析
output_file("lending_rate3m_job.html") p = figure(x_range=df_mean['job'], plot_height=350, title="Lending Rate 3m Mean by Job", toolbar_location=None, tools="") p.vbar(x=df_mean['job'], top=df_mean['lending_rate3m'], width=0.9) p.xgrid.grid_line_color = None p.y_range.start = 0 show(p)
原文地址: https://www.cveoy.top/t/topic/fbyL 著作权归作者所有。请勿转载和采集!