seaborn绘图集合

1.heatmap

corr = df1.corr()
f,ax = plt.subplots(figsize = (8,5))
sns.heatmap(corr,linewidths = 0.5,annot = True,fmt = '0.1g')
plt.title('自变量与因变量关系')
plt.show()

2.distplot

plt.subplots(figsize = (12,6))
sns.distplot(df['Price'],color = 'purple')
plt.title('价格区间')
plt.show()

plt.figure(figsize = (7,7))
sns.displot(df.bmi,color = 'green',label = 'bmi'
            ,kde = 'True')
plt.legend()

3.箱线图

sns.boxplot(x = '年龄',data = df)