Ejemplo n.º 1
0
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
    ))
Ejemplo n.º 2
0
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))
Ejemplo n.º 3
0
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))
Ejemplo n.º 4
0
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)
    )