使用(python)Scipy拟合伽马分布 [英] Fitting a gamma distribution with (python) Scipy

问题描述

谁能帮我在 python 中拟合伽马分布?好吧，我有一些数据:X 和 Y 坐标，我想找到适合这个分布的伽玛参数......在 Scipy doc，事实证明fit方法确实存在，但我不知道如何使用它:s.. 首先，参数数据"必须采用哪种格式，以及如何提供第二个参数(参数)，因为这是我正在寻找的内容?

Can anyone help me out in fitting a gamma distribution in python? Well, I've got some data : X and Y coordinates, and I want to find the gamma parameters that fit this distribution... In the Scipy doc, it turns out that a fit method actually exists but I don't know how to use it :s.. First, in which format the argument "data" must be, and how can I provide the second argument (the parameters) since that's what I'm looking for?

推荐答案

生成一些伽马数据:

import scipy.stats as stats    
alpha = 5
loc = 100.5
beta = 22
data = stats.gamma.rvs(alpha, loc=loc, scale=beta, size=10000)    
print(data)
# [ 202.36035683  297.23906376  249.53831795 ...,  271.85204096  180.75026301
#   364.60240242]

这里我们将数据拟合到伽马分布:

Here we fit the data to the gamma distribution:

fit_alpha, fit_loc, fit_beta=stats.gamma.fit(data)
print(fit_alpha, fit_loc, fit_beta)
# (5.0833692504230008, 100.08697963283467, 21.739518937816108)

print(alpha, loc, beta)
# (5, 100.5, 22)

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