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# scipy.interpolate.sproot

`scipy.interpolate.``sproot`(tck, mest=10)

  Find the roots of a cubic B-spline.

  Description:

  > Given the knots (>=8) and coefficients of a cubic B-spline return the roots of the spline.

  Inputs:

  > tck – A length 3 sequence describing the given spline (See splev).
  >   The number of knots must be >= 8. The knots must be a montonically increasing sequence.

  > mest – An estimate of the number of zeros (Default is 10).

  Outputs: (zeros, )

  > zeros – An array giving the roots of the spline.

  See also:

    splprep, splrep, splint, spalde, splev - evaluation, roots, integral bisplrep, bisplev - bivariate splines UnivariateSpline, BivariateSpline - an alternative wrapping

    > of the FITPACK functions

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