python使用seaborn绘图直方图displot,密度图,散点图

import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib
import pandas as pd

fig = plt.figure(figsize=(12, 5))
ax1 = plt.subplot(121)
rs = np.random.RandomState(10)  # 设定随机数种子
s = pd.Series(rs.randn(100) * 100)
sns.distplot(s, bins=10, hist=True, kde=True, rug=True, nORM_hist=False, color='y', label='distplot', axlabel='x')
plt.legend()

ax1 = plt.subplot(122)
sns.distplot(s, rug=True,
             hist_kws={"histtype": "step", "linewidth": 1, "alpha": 1, "color": "g"},  # 设置箱子的风格、线宽、透明度、颜色,风格包括：'bar', 'barstacked', 'step', 'stepfilled'
             kde_kws={"color": "r", "linewidth": 1, "label": "KDE", 'linestyle': '--'},   # 设置密度曲线颜色，线宽，标注、线形
             rug_kws={'color': 'r'})  # 设置数据频率分布颜色
plt.show()

distplot(a, bins=None, hist=True, kde=True, rug=False, fit=None,hist_kws=None, 
	 	 kde_kws=None, rug_kws=None, fit_kws=None, color=None,  vertical=False, 
		 norm_hist=False, axlabel=None, label=None, ax=None)