Math¶

linear_regression() - a wrapper for numpy linear regression

Project infrastructure¶

PyteomicsError - a pyteomics-specific exception

exception pyteomics.auxiliary.PyteomicsError(msg)[source]¶

Exception raised for errors in Pyteomics library.

Attributes

message

pyteomics.auxiliary.linear_regression(x, y, a=None, b=None)[source]¶

Calculate coefficients of a linear regression y = a * x + b.

Parameters :	x, y : array_like of float a : float, optional If specified then the slope coefficient is fixed and equals a. b : float, optional If specified then the free term is fixed and equals b.
Returns :	out : 4-tuple of float The structure is (a, b, r, stderr), where a – slope coefficient, b – free term, r – Peason correlation coefficient, stderr – standard deviation.

pyteomics.auxiliary.memoize(maxsize=1000)[source]¶

Make a memoization decorator. A negative value of maxsize means no size limit.