# numpy.roots¶

numpy.roots(p)

Return the roots of a polynomial with coefficients given in p.

The values in the rank-1 array p are coefficients of a polynomial. If the length of p is n+1 then the polynomial is described by p[0] * x**n + p[1] * x**(n-1) + ... + p[n-1]*x + p[n]

Parameters: p : array_like of shape(M,) Rank-1 array of polynomial co-efficients. out : ndarray An array containing the complex roots of the polynomial. ValueError: : When p cannot be converted to a rank-1 array.

poly
Find the coefficients of a polynomial with a given sequence of roots.
polyval
Evaluate a polynomial at a point.
polyfit
Least squares polynomial fit.
poly1d
A one-dimensional polynomial class.

Notes

The algorithm relies on computing the eigenvalues of the companion matrix [R267].

References

 [R267] (1, 2) Wikipedia, “Companion matrix”, http://en.wikipedia.org/wiki/Companion_matrix

Examples

```>>> coeff = [3.2, 2, 1]
>>> np.roots(coeff)
array([-0.3125+0.46351241j, -0.3125-0.46351241j])
```

numpy.poly

numpy.polyfit