python如何实现可视化箱线图

 plt.boxplot(x, notch=None, sym=None, vert=None, 
 whis=None, positions=None, widths=None, 
 patch_artist=None, meanline=None, showmeans=None, 
 showcaps=None, showbox=None, showfliers=None, 
 boxprops=None, labels=None, flierprops=None, 
 medianprops=None, meanprops=None, 
 capprops=None, whiskerprops=None)

 # 导入第三方模块 
 import pandas as pd 
 import matplotlib.pyplot as plt 
 
 # 读取Titanic数据集 
 titanic = pd.read_csv('titanic_train.csv') 
 # 检查年龄是否有缺失 
 any(titanic.Age.isnull()) 
 # 不妨删除含有缺失年龄的观察 
 titanic.dropna(subset=['Age'], inplace=True) 
 
 # 设置图形的显示风格 
 plt.style.use('ggplot') 
 
 # 设置中文和负号正常显示 
 plt.rcParams['font.sans-serif'] = 'Microsoft YaHei' 
 plt.rcParams['axes.unicode_minus'] = False 
 
 # 绘图：整体乘客的年龄箱线图 
 plt.boxplot(x = titanic.Age, # 指定绘图数据 
 patch_artist=True, # 要求用自定义颜色填充盒形图，默认白色填充 
 showmeans=True, # 以点的形式显示均值 
 boxprops = {'color':'black','facecolor':'#9999ff'}, # 设置箱体属性，填充色和边框色 
 flierprops = {'marker':'o','markerfacecolor':'red','color':'black'}, # 设置异常值属性，点的形状、填充色和边框色 
 meanprops = {'marker':'D','markerfacecolor':'indianred'}, # 设置均值点的属性，点的形状、填充色 
 medianprops = {'linestyle':'--','color':'orange'}) # 设置中位数线的属性，线的类型和颜色 
 # 设置y轴的范围 
 plt.ylim(0,85) 
 
 # 去除箱线图的上边框与右边框的刻度标签 
 plt.tick_params(top='off', right='off') 
 # 显示图形 
 plt.show()