python - 相当于 Python 中的“ksdensity”MATLAB 内置函数

Question

我需要以下 MATLAB 代码的 python 等效代码：

[f,xi] = ksdensity(data,'Support','positive','Function','cdf');

我找到下面的 python 代码，但我不知道如何提供它的cdf. 如果您能指导我，我将不胜感激。

from scipy import stats
kde = stats.gaussian_kde(data)

Answer 1

试试这个， 链接。

def insert_size(insert_size_distribution):
    """Calculate cumulative distribution function from the raw insert size
    distributin. Uses 1D kernel density estimation.

    Args:
        insert_size_distribution (list): list of insert sizes from aligned
        read pairs

    Returns:
        1darray: a cumulative density function
    """
    kde = stats.gaussian_kde(
        insert_size_distribution,
        bw_method=0.2 / np.std(insert_size_distribution, ddof=1))
    x_grid = np.linspace(
        min(insert_size_distribution),
        max(insert_size_distribution), 1000)
    kde = kde.evaluate(x_grid)
    cdf = np.cumsum(kde)
    cdf = cdf / cdf[-1]
    return cdf 

Answer 2

以下代码适用于我：

import scipy
kde = scipy.stats.gaussian_kde(data)
my_cdf = scipy.stats.norm.cdf(kde)