# scipy.optimize.RootResults

class scipy.optimize.RootResults(root, iterations, function_calls, flag)

  Represents the root finding result.

  Attributes:
    root float

      Estimated root location.

    iterations int

      Number of iterations needed to find the root.

    function_calls int

      Number of times the function was called.

    converged bool

      True if the routine converged.

    flag str

      Description of the cause of termination.

  Methods

  `__getitem__` | x.__getitem__(y) <==> x[y]
  `__len__`(/) | Return len(self).
  `clear`() |
  `copy`() |
  `fromkeys`(iterable[, value]) | Create a new dictionary with keys from iterable and values set to value.
  `get`(key[, default]) | Return the value for key if key is in the dictionary, else default.
  `items`() |
  `keys`() |
  `pop`(key[, default]) | If key is not found, default is returned if given, otherwise KeyError is raised
  `popitem`(/) | Remove and return a (key, value) pair as a 2-tuple.
  `setdefault`(key[, default]) | Insert key with a value of default if key is not in the dictionary.
  `update`([E, ]**F) | If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
  `values`() |