Basic Mathematical Features

arora.math.mean_val

arora.math.mean(signal_list)

Find the mean value of a list of signals. If list is empty, returns 0.0

Parameters:

signal_listlist of int or float

List of signals.

Returnsfloat

The mean value of the signals as a float

For example:

>>> a_list = [1, 2, 3, 4]
>>> arora.math.mean(a_list)
2.5

arora.math.std_val

arora.math.std(signal_list)

Find the standard deviation of a list of signals using statistics.stdev.

Parameters:

signal_list: list of int or float

List of signals.

Returnsfloat

The standard deviation of the array

RaisesException

If array is less than two values

For example:

>>> a_list = [1,2,3,4]
>>> arora.math.std_val(a_list)
Returns : 1.12

arora.math.iqr_standardize

arora.math.iqr_standardize(signals, lowerquantile, upperquantile)

IQR standardization for an array of signals

Parameters:

signals: list of int or float

List of signals.

lowerquantileint

Lower cutoff IQR filtering.

upperquantile: int

Upper cutoff IQR filtering.

Returns:

Array of standardized signals as numpy.ndarray.