Module statistics

Module for calculating simple statistics.

Functions

list of lists of float bucket(values=None, lower=0.0, upper=200.0, inc=100, verbose=False)
Generate a discrete probability distribution for the given values.

float gaussian(x=None, mu=0.0, sigma=1.0)
Calculate the probability for a Gaussian probability distribution for a given x value.

float std(values=None, skip=None, dof=1)
Calculate the standard deviation of the given values, skipping values if asked.

Variables

__package__ = 'lib'

Imports: exp, pi, sqrt

Function Details

bucket(values=None, lower=0.0, upper=200.0, inc=100, verbose=False)

Generate a discrete probability distribution for the given values.

Parameters:

• values (list of float) - The list of values to convert.
• lower (float) - The lower bound of the distribution.
• upper (float) - The upper bound of the distribution.
• inc (int) - The number of discrete increments for the distribution between the lower and upper bounds.
• verbose (bool) - A flag which if True will enable printouts.

Returns: list of lists of float

The discrete probability distribution.

gaussian(x=None, mu=0.0, sigma=1.0)

Calculate the probability for a Gaussian probability distribution for a given x value.

Parameters:

• x (float) - The x value to calculate the probability for.
• mu (float) - The mean of the distribution.
• sigma (float) - The standard deviation of the distribution.

Returns: float

The probability corresponding to x.

std(values=None, skip=None, dof=1)

Calculate the standard deviation of the given values, skipping values if asked.

Parameters:

• values (list of float) - The list of values to calculate the standard deviation of.
• skip (list of bool or None.) - An optional list of booleans specifying if a value should be skipped. The length of this list must match the values. An element of True will cause the corresponding value to not be included in the calculation.
• dof (int) - The degrees of freedom, whereby the standard deviation is multipled by 1/(N - dof).

Returns: float

The standard deviation.