ost.stutil Namespace Reference

Functions
def	FloatValueExtract
def	Mean
def	Median
def	StdDev
def	Min
def	Max
def	Correl
def	Histogram

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Function Documentation

def ost.stutil.Correl	(		xs,
			ys
	)

Calculates the correlation coefficient between xs and ys as

  sum[(xi-<x>)*(yi-<y>)]
r=----------------------
        sx*sy
        
where <x>, <y> are the mean of dataset xs and ys, and, sx and sy are the 
standard deviations.

Definition at line 83 of file stutil.py.

def ost.stutil.FloatValueExtract

(

func

)

Decorator to wrap functions that take a list of float values. In addition to 
passing in a list of float values directly, it is possible to extract the 
values from attributes or generic properties.

Definition at line 4 of file stutil.py.

def ost.stutil.Histogram	(		xs,
			bounds,
			num_bins
	)

Definition at line 110 of file stutil.py.

def ost.stutil.Max

(

xs

)

Definition at line 80 of file stutil.py.

def ost.stutil.Mean

(

xs

)

Calculate mean of dataset

Definition at line 42 of file stutil.py.

def ost.stutil.Median

(

xs

)

Calculate median of dataset

Definition at line 51 of file stutil.py.

def ost.stutil.Min

(

xs

)

Definition at line 76 of file stutil.py.

def ost.stutil.StdDev

(

xs

)

Calculate standard-deviation of dataset

          | sum[xi-<x>]^2 |
sigma=sqrt|---------------|
          |       n       |

Definition at line 64 of file stutil.py.