Seaborn–单变量分析(三)

%matplotlib inline import numpy as np import pandas as pd from scipy import stats, integrate import matplotlib.pyplot as plt import seaborn as sns sns.set(color_codes=True) np.random.seed(sum(map(ord, "distributions"))) #直方图 x = np.random.normal(size=100) #随机生成高斯数据 sns.distplot(x,kde=False) #kde要不要