pystra.distributions.distribution.Distribution

class Distribution(name='', dist_obj=None, mean=None, stdv=None, startpoint=None)

Bases: object

Probability distribution

name

Name of the random variable

Type:

str

dist_obj

if subclassing SciPy distribution

Type:

SciPy rv

mean

Mean or other variable

Type:

float

stdv

Standard deviation or other variable

Type:

float

startpoint

Start point for seach

Type:

float

p1

Parameter for the distribution

Type:

float

p2

Parameter for the distribution

Type:

float

p3

Parameter for the distribution

Type:

float

p4

Parameter for the distribution

Type:

float

input_type

Change meaning of mean and stdv

Type:

any

Default

all values

Methods

cdf	Cumulative distribution function
getMean
getName
getStartPoint
getStdv
jacobian	Compute the Jacobian
pdf	Probability density function
plot	Plots the PDF of the distribution
ppf	Inverse cumulative distribution function
sample	Return a sample of the distribution of length n
setStartPoint
set_location
set_scale
u_to_x	Transformation from u to x
x_to_u	Transformation from x to u

Attributes

std_normal

pdf(x)

Probability density function

cdf(x)

Cumulative distribution function

ppf(u)

Inverse cumulative distribution function

u_to_x(u)

Transformation from u to x

x_to_u(x)

Transformation from x to u

jacobian(u, x)

Compute the Jacobian

sample(n=1000)

Return a sample of the distribution of length n

plot(ax=None, **kwargs)

Plots the PDF of the distribution