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https://docs./doc/scipy-0.18.1/reference/generated/scipy.stats.norm.html scipy.stats.norm =scipy.stats._continuous_distns.norm_gen object at 0x2b2318b8cd10 一个连续的正态分布,loc代表了均值,scale代表标准差 | 对象方法 | 描述 |
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| rvs(loc=0, scale=1, size=1, random_state=None) | Random variates. | | pdf(x, loc=0, scale=1) | 输入x，返回概率密度函数 | | logpdf(x, loc=0, scale=1) | Log of the probability density function. | | cdf(x, loc=0, scale=1) | 输入x，返回概率，既密度函数的面积 | | logcdf(x, loc=0, scale=1) | Log of the cumulative distribution function. | | sf(x, loc=0, scale=1) | Survival function (also defined as 1 - cdf, but sf is sometimes more accurate). | | logsf(x, loc=0, scale=1) | Log of the survival function. | | ppf(q, loc=0, scale=1) | 输入密度函数面积，返回x (inverse of cdf — percentiles). | | isf(q, loc=0, scale=1) | Inverse survival function (inverse of sf). | | moment(n, loc=0, scale=1) | Non-central moment of order n | | stats(loc=0, scale=1, moments=’mv’) | Mean(‘m’), variance(‘v’), skew(‘s’), and/or kurtosis(‘k’). | | entropy(loc=0, scale=1) | (Differential) entropy of the RV. | | fit(data, loc=0, scale=1) | Parameter estimates for generic data. | | expect(func, args=(), loc=0, scale=1, lb=None, ub=None, conditional=False, **kwds) | Expected value of a function (of one argument) with respect to the distribution. | | median(loc=0, scale=1) | Median of the distribution. | | mean(loc=0, scale=1) | Mean of the distribution. | | var(loc=0, scale=1) | Variance of the distribution. | | std(loc=0, scale=1) | Standard deviation of the distribution. | | interval(alpha, loc=0, scale=1) | Endpoints of the range that contains alpha percent of the distribution |
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