metasyn.distribution.uniform.TimeUniformDistribution

class metasyn.distribution.uniform.TimeUniformDistribution(lower, upper, precision='microseconds')

Uniform time distribution.

Time objects will be uniformly distributed between a start and end time.

Parameters:

• lower (str or datetime.time) – Earliest possible time to be generated from this distribution. String formatted in ISO format, see examples below or use time objects from the python standard library datetime.

• upper (str or datetime.time) – Latest possible time to be generated from this distribution. String formatted in ISO format, see examples below or use time objects from the python standard library datetime.

• precision (str) – Most precise measure of time that the distribution will take into account. For example, if precision == “seconds”, then the microseconds will always be set to 0. Possible values: [“microseconds”, “seconds”, “minutes”, “hours”].

Examples

>>> TimeUniformDistribution(lower="10:39:12", upper="10:39:45", precision="seconds")

name

core.uniform

unique

False

version

1.0

var_type

time

__init__(lower, upper, precision='microseconds')

Parameters:

• lower (Any)

• upper (Any)

• precision (str)

Methods

__init__(lower, upper[, precision])
default_distribution([var_type])	Get a distribution with default parameters.
draw()	Draw a random element from the fitted distribution.
draw_list(n)	Draw a list of values from the distribution.
draw_reset()	Reset the drawing of elements to start again.
from_dict(dist_dict)	Create a distribution from a dictionary.
fromisoformat(dt_obj)	Convert string to iso format.
information_criterion(values)	Get the BIC value for a particular set of values.
matches_name(name)	Check whether the name matches the distribution.
provides_var_type(var_type)
round(time_obj)	Round down any time object with the precision.
schema()	Create sub-schema to validate GMF file.
to_dict()	Convert the distribution to a dictionary.

Attributes

minimum_delta	Get the minimum time delta.
name	The identifier for the implemented distribution
precision_possibilities
unique	Whether the distribution creates only unique values
var_type	The variable type of the distribution
version	Version of the implemented distribution