将KDE添加到直方图 [英] Add KDE on to a histogram

问题描述

我想在直方图中添加密度图.我对 pdf 函数有所了解，但我很困惑，其他类似的问题也没有帮助.

I would like to add a density plot to my histogram diagram. I know something about pdf function but I've got confused and other similar questions were not helpful.

from scipy.stats import * 
from numpy import*
from matplotlib.pyplot import*
from random import*

nums = []
N = 100
for i in range(N):
    a = randint(0,9)
    nums.append(a)

bars= [0,1,2,3,4,5,6,7,8,9]
alpha, loc, beta=5, 100, 22

hist(nums,normed= True,bins = bars)


show()

我正在寻找这样的东西

推荐答案

from scipy import stats
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(41)

N = 100
x = np.random.randint(0, 9, N)
bins = np.arange(10)

kde = stats.gaussian_kde(x)
xx = np.linspace(0, 9, 1000)
fig, ax = plt.subplots(figsize=(8,6))
ax.hist(x, density=True, bins=bins, alpha=0.3)
ax.plot(xx, kde(xx))

这篇关于将KDE添加到直方图的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！