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numpy.polynomial.polynomial.Polynomial
- class numpy.polynomial.polynomial.Polynomial(coef, domain=None, window=None)[source]
- 
    A power series class. The Polynomial class provides the standard Python numerical methods ‘+’, ‘-‘, ‘*’, ‘//’, ‘%’, ‘divmod’, ‘**’, and ‘()’ as well as the attributes and methods listed in the ABCPolyBasedocumentation.- Parameters
- 
      - coefarray_like
- 
        Polynomial coefficients in order of increasing degree, i.e., (1, 2, 3)give1 + 2*x + 3*x**2.
- domain(2,) array_like, optional
- 
        Domain to use. The interval [domain[0], domain[1]]is mapped to the interval[window[0], window[1]]by shifting and scaling. The default value is [-1, 1].
- window(2,) array_like, optional
- 
        Window, see domainfor its use. The default value is [-1, 1].New in version 1.6.0. 
 
- Attributes
- 
      - basis_name
 
 Methods__call__(self, arg)Call self as a function. basis(deg[, domain, window])Series basis polynomial of degree deg.cast(series[, domain, window])Convert series to series of this class. convert(self[, domain, kind, window])Convert series to a different kind and/or domain and/or window. copy(self)Return a copy. cutdeg(self, deg)Truncate series to the given degree. degree(self)The degree of the series. deriv(self[, m])Differentiate. fit(x, y, deg[, domain, rcond, full, w, window])Least squares fit to data. fromroots(roots[, domain, window])Return series instance that has the specified roots. has_samecoef(self, other)Check if coefficients match. has_samedomain(self, other)Check if domains match. has_sametype(self, other)Check if types match. has_samewindow(self, other)Check if windows match. identity([domain, window])Identity function. integ(self[, m, k, lbnd])Integrate. linspace(self[, n, domain])Return x, y values at equally spaced points in domain. mapparms(self)Return the mapping parameters. roots(self)Return the roots of the series polynomial. trim(self[, tol])Remove trailing coefficients truncate(self, size)Truncate series to length size.
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 https://numpy.org/doc/1.19/reference/generated/numpy.polynomial.polynomial.Polynomial.html