This is documentation for an old release of NumPy (version 1.19). Read this page Search for this page in the documentation of the latest stable release (version 2.2).

A sub-package for efficiently dealing with polynomials.

Within the documentation for this sub-package, a “finite power series,” i.e., a polynomial (also referred to simply as a “series”) is represented by a 1-D numpy array of the polynomial’s coefficients, ordered from lowest order term to highest. For example, array([1,2,3]) represents P_0 + 2*P_1 + 3*P_2, where P_n is the n-th order basis polynomial applicable to the specific module in question, e.g., polynomial (which “wraps” the “standard” basis) or chebyshev. For optimal performance, all operations on polynomials, including evaluation at an argument, are implemented as operations on the coefficients. Additional (module-specific) information can be found in the docstring for the module of interest.