numpy.poly

numpy.polyfit

# numpy.roots¶

`numpy.``roots`(p)[source]

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 * x**n + p * x**(n-1) + ... + p[n-1]*x + p[n]
```
Parameters: p : array_like Rank-1 array of polynomial coefficients. out : ndarray An array containing the 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`
Compute polynomial values.
`polyfit`
Least squares polynomial fit.
`poly1d`
A one-dimensional polynomial class.

Notes

The algorithm relies on computing the eigenvalues of the companion matrix [R279].

References

 [R279] (1, 2) R. A. Horn & C. R. Johnson, Matrix Analysis. Cambridge, UK: Cambridge University Press, 1999, pp. 146-7.

Examples

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