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SciPy Reference Guide, Release 0.8.dev
Table 3.10 – continued from previous page
powerlognorm A power log-normal continuous random variable.
powernorm A power normal continuous random variable.
rdist An R-distributed continuous random variable.
reciprocal A reciprocal continuous random variable.
rayleigh A Rayleigh continuous random variable.
rice A Rice continuous random variable.
recipinvgauss A reciprocal inverse Gaussian continuous random variable.
semicircular A semicircular continuous random variable.
triang A Triangular continuous random variable.
truncexpon A truncated exponential continuous random variable.
truncnorm A truncated normal continuous random variable.
tukeylambda A Tukey-Lambda continuous random variable.
uniform A uniform continuous random variable.
von_mises
wald A Wald continuous random variable.
weibull_min A Weibull minimum continuous random variable.
weibull_max A Weibull maximum continuous random variable.
wrapcauchy A wrapped Cauchy continuous random variable.
ksone Kolmogorov-Smirnov A one-sided test statistic. continuous random variable.
kstwobign Kolmogorov-Smirnov two-sided (for large N) continuous random variable.
norm
A normal continuous random variable.
Continuous random variables are defined from a standard form and may require some shape parameters to
complete its specification. Any optional keyword parameters can be passed to the methods of the RV object as
given below:
Parameters
x : array-like
quantiles
q : array-like
lower or upper tail probability
: array-like
shape parameters
loc : array-like, optional
location parameter (default=0)
scale : array-like, optional
scale parameter (default=1)
size : int or tuple of ints, optional
shape of random variates (default computed from input arguments )
moments : string, optional
composed of letters [’mvsk’] specifying which moments to compute where ‘m’
= mean, ‘v’ = variance, ‘s’ = (Fisher’s) skew and ‘k’ = (Fisher’s) kurtosis. (default=’mv’)
3.18. Statistical functions (scipy.stats) 457