numpy/scipy等效于R ecdf(x)(x)函数? [英] numpy/scipy equivalent of R ecdf(x)(x) function?

问题描述

在numpy或scipy中，Python中R的ecdf(x)(x)函数的等效项是什么? ecdf(x)(x)基本上与:

What is the equivalent of R's ecdf(x)(x) function in Python, in either numpy or scipy? Is ecdf(x)(x) basically the same as:

import numpy as np
def ecdf(x):
  # normalize X to sum to 1
  x = x / np.sum(x)
  return np.cumsum(x)

还是还有其他要求?

EDIT (人)如何控制ecdf使用的仓位数量?

EDIT how can one control the number of bins used by ecdf?

推荐答案

尝试以下链接:

statsmodels.ECDF

不带步进功能的python中的ECDF?

示例代码

import numpy as np
from statsmodels.distributions.empirical_distribution import ECDF
import matplotlib.pyplot as plt

data = np.random.normal(0,5, size=2000)

ecdf = ECDF(data)
plt.plot(ecdf.x,ecdf.y)

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