Seaborn distplot 核密度估计和直方图估计混合

# coding=utf-8
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

pd.set_option('display.max_columns', None)
pd.set_option('display.width', None)
plt.rcParams['font.sans-serif']=['SimHei'] #显示中文标签
plt.rcParams['font.serif'] = ['KaiTi']
plt.rcParams['axes.unicode_minus'] = False

x=np.random.randn(100)
print(x)
fig, axes =plt.subplots(1,4)
sns.distplot(x,ax=axes[0])
sns.distplot(x,ax=axes[1],hist=False)#去除直方图
sns.distplot(x,ax=axes[2],kde=False)#去除kde估计
sns.distplot(x,ax=axes[3],rug=True)
plt.show()