scipy tutorial - Baustatik-Info-Server

Methods
truncnorm.rvs(a,b,loc=0,scale=1,size=1)
truncnorm.pdf(x,a,b,loc=0,scale=1)
truncnorm.cdf(x,a,b,loc=0,scale=1)
truncnorm.sf(x,a,b,loc=0,scale=1)
truncnorm.ppf(q,a,b,loc=0,scale=1)
truncnorm.isf(q,a,b,loc=0,scale=1)
SciPy Reference Guide, Release 0.8.dev
•random variates
•probability density function
•cumulative density function
•survival function (1-cdf — sometimes more accurate)
•percent point function (inverse of cdf — percentiles)
•inverse survival function (inverse of sf)
truncnorm.stats(a,b,loc=0,scale=1,moments=’mv’)
•mean(‘m’), variance(‘v’), skew(‘s’), and/or kurtosis(‘k’)
truncnorm.entropy(a,b,loc=0,scale=1)
truncnorm.fit(data,a,b,loc=0,scale=1)
Alternatively, the object may be called (as a
function) to fix the shape,
location, and scale parameters returning a
“frozen” continuous RV object:
rv = truncnorm(a,b,loc=0,scale=1)
tukeylambda
A Tukey-Lambda continuous random variable.
•(differential) entropy of the RV.
•Parameter estimates for truncnorm data
•frozen RV object with the same methods but holding the
given shape, location, and scale fixed
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
lam : array-like
shape parameters
3.18. Statistical functions (scipy.stats) 597