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SciPy Reference Guide, Release 0.8.dev location parameter (default=0) Returns pmf : array-like Probability mass function evaluated at k cdf(k, *args, **kwds) Cumulative distribution function at k of the given RV Parameters k : array-like, int quantiles arg1, arg2, arg3,... : array-like The shape parameter(s) for the distribution (see docstring of the instance object for more information) loc : array-like, optional location parameter (default=0) Returns cdf : array-like Cumulative distribution function evaluated at k sf(k, *args, **kwds) Survival function (1-cdf) at k of the given RV Parameters k : array-like quantiles arg1, arg2, arg3,... : array-like The shape parameter(s) for the distribution (see docstring of the instance object for more information) loc : array-like, optional Returns sf : array-like location parameter (default=0) Survival function evaluated at k ppf(q, *args, **kwds) Percent point function (inverse of cdf) at q of the given RV Parameters q : array-like lower tail probability arg1, arg2, arg3,... : array-like The shape parameter(s) for the distribution (see docstring of the instance object for more information) loc : array-like, optional location parameter (default=0) 454 Chapter 3. Reference
Returns k : array-like quantile corresponding to the lower tail probability, q. isf(q, *args, **kwds) Inverse survival function (1-sf) at q of the given RV Parameters q : array-like upper tail probability arg1, arg2, arg3,... : array-like SciPy Reference Guide, Release 0.8.dev The shape parameter(s) for the distribution (see docstring of the instance object for more information) loc : array-like, optional Returns k : array-like location parameter (default=0) quantile corresponding to the upper tail probability, q. stats(*args, **kwds) Some statistics of the given discrete RV Parameters arg1, arg2, arg3,... : array-like The shape parameter(s) for the distribution (see docstring of the instance object for more information) loc : array-like, optional location parameter (default=0) moments : string, optional composed of letters [’mvsk’] defining which moments to compute: ‘m’ = mean, ‘v’ = variance, ‘s’ = (Fisher’s) skew, ‘k’ = (Fisher’s) kurtosis. (default=’mv’) Returns stats : sequence of requested moments. 3.18.1 Continuous distributions norm A normal continuous random variable. alpha A alpha continuous random variable. anglit A anglit continuous random variable. arcsine A arcsine continuous random variable. beta A beta continuous random variable. betaprime A betaprime continuous random variable. bradford A Bradford continuous random variable. burr Burr continuous random variable. fisk A funk continuous random variable. Continued on next page 3.18. Statistical functions (<strong>scipy</strong>.stats) 455
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