def weighted_tukey(distribution_or_population, count=None):
"""
Returns the weighted Tukey box-whisker boundaries for the given
distribution, including the mean. These boundaries are based on the
weighted distributions distribution and take into account the uncertainties
in the measurements.
:param distribution_or_population:
The distribution for which to calculate the boundaries
:param count:
The number of values to use when creating the weighted probability
population used to define the whiskers
:return:
A tuple containing 5 values:
* minimum (whisker boundary)
* lower quartile (box boundary)
* median
* upper quartile (box boundary)
* maximum (whisker boundary)
:rtype: tuple
"""
return unweighted_tukey(support.to_weighted_population(
distribution_or_population, count
))
def weighted_two(distribution_or_population, count=None):
"""
Returns the weighted "Twos" box-whisker boundaries for the given
distribution, including the median, where the whiskers are defined by the
2% and 98% percentiles.
:param distribution_or_population:
The distribution for which to calculate the boundaries
:param count:
The number of values to use when creating the weighted probability
population
:return:
A tuple containing 5 values:
* minimum (whisker boundary)
* lower quartile (box boundary)
* median
* upper quartile (box boundary)
* maximum (whisker boundary)
:rtype: tuple
"""
return unweighted_two(
support.to_weighted_population(distribution_or_population, count))
def weighted_tukey(distribution_or_population, count=None):
"""
Returns the weighted Tukey box-whisker boundaries for the given
distribution, including the mean. These boundaries are based on the
weighted distributions distribution and take into account the uncertainties
in the measurements.
:param distribution_or_population:
The distribution for which to calculate the boundaries
:param count:
The number of values to use when creating the weighted probability
population used to define the whiskers
:return:
A tuple containing 5 values:
* minimum (whisker boundary)
* lower quartile (box boundary)
* median
* upper quartile (box boundary)
* maximum (whisker boundary)
:rtype: tuple
"""
return unweighted_tukey(
support.to_weighted_population(distribution_or_population, count))
def weighted_two(distribution_or_population, count=None):
"""
Returns the weighted "Twos" box-whisker boundaries for the given
distribution, including the median, where the whiskers are defined by the
2% and 98% percentiles.
:param distribution_or_population:
The distribution for which to calculate the boundaries
:param count:
The number of values to use when creating the weighted probability
population
:return:
A tuple containing 5 values:
* minimum (whisker boundary)
* lower quartile (box boundary)
* median
* upper quartile (box boundary)
* maximum (whisker boundary)
:rtype: tuple
"""
return unweighted_two(
support.to_weighted_population(distribution_or_population, count)
)
