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餐饮营销型网站案例,响应式网站报价,嘉兴市住房和城乡建设局门户网站,如何在电脑上建设网站内容回顾#xff1a;数据初步可视化 单特征可视化#xff1a;连续变量箱线图#xff08;还说了核密度直方图#xff09;、离散特征直方图特征和标签关系可视化箱线图美化---直方图 作业#xff1a;去针对其他特征绘制单特征图和特征和标签的关系图#xff0c;并且试…内容回顾数据初步可视化单特征可视化连续变量箱线图还说了核密度直方图、离散特征直方图特征和标签关系可视化箱线图美化---直方图作业去针对其他特征绘制单特征图和特征和标签的关系图并且试图观察出一些有意思的结论import pandas as pd data pd.read_csv(rD:\课程\课程文件1\pythonstudy\pythonx训练营\python-60days-challenge\data.csv) data.head()continous_features [] discrete_features [] for i in data.columns: if data[i].dtype object: continous_features.append(i) else: discrete_features.append(i) print(continous_features) print(discrete_features)[Home Ownership, Years in current job, Purpose, Term] [Id, Annual Income, Tax Liens, Number of Open Accounts, Years of Credit History, Maximum Open Credit, Number of Credit Problems, Months since last delinquent, Bankruptcies, Current Loan Amount, Current Credit Balance, Monthly Debt, Credit Score, Credit Default]import seaborn as sns import matplotlib.pyplot as plt import pandas as pd #箱线图 sns.boxplot(x data[Home Ownership]) plt.title(Home Ownership 的箱线图) plt.xlabel(Home Ownership) plt.show() plt.rcParams[font.sans-serif] [SimHei] plt.rcParams[axes.unicode_minus] False#直方图 sns.histplot(data[Current Credit Balance]) plt.title(当前信用余额 直方图) plt.xlabel(当前信用余额) plt.ylabel(员工数量) plt.show()#特征与标签的关系 # 可视化方式箱线图 plt.figure(figsize(8, 16)) sns.boxplot(xCurrent Credit Balance, yHome Ownership, datadata) plt.title(Home Ownership vs. Current Credit Balance) plt.xlabel(Current Credit Balance) plt.ylabel(Current Credit Balance) plt.show()# 另一种可视化方式小提琴图 plt.figure(figsize(8, 16)) sns.violinplot(xCurrent Credit Balance, yHome Ownership, datadata) plt.title(Home Ownership vs. Current Credit Balance) plt.xlabel(Current Credit Balance) plt.ylabel(Current Credit Balance) plt.show()# 绘制 Current Credit Balance 和 Credit Default 的关系图 plt.figure(figsize(18, 16)) sns.histplot(xCurrent Credit Balance, hueHome Ownership, datadata, kdeTrue, elementstep) #kde表示核密度kdeTrue表示使用核密度估计来平滑边缘elementstep表示使用阶梯状的直方图 plt.title(Current Credit Balance vs. Home Ownership) plt.xlabel(Current Credit Balance) plt.ylabel(Count) plt.show()浙大疏锦行