[FIXED] numpy/scipy equivalent of R ecdf(x)(x) function?

Issue

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)

or is something else required?

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

Solution

Try these links:

statsmodels.ECDF

ECDF in python without step function?

Example code

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)

Answered By - yasouser