累積分佈函數(cumulative distribution function)

sklearn實戰-乳腺癌細胞數據挖掘(博客主親自錄製視頻教程,QQ:231469242)python

https://study.163.com/course/introduction.htm?courseId=1005269003&utm_campaign=commission&utm_source=cp-400000000398149&utm_medium=share

 

累積分佈函數(cumulative distribution function)定義:對連續函數,全部小於等於a的值,其出現機率的和。F(a)=P(x<=a)api

python statsmodels包支持計算和繪製累積分佈函數dom

import numpy as np
import statsmodels.api as sm # recommended import according to the docs
import matplotlib.pyplot as plt

sample = np.random.uniform(0, 1, 50)
ecdf = sm.distributions.ECDF(sample)

#等差數列,用於繪製X軸數據
x = np.linspace(min(sample), max(sample))
# x軸數據上值對應的累計密度機率
y = ecdf(x)
#繪製階梯圖
plt.step(x, y)
plt.show()

  

 

 

python風控評分卡建模和風控常識(博客主親自錄製視頻教程)

相關文章
相關標籤/搜索