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scipy.optimize.

# RootResults

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

  Represents the root finding result.

  Attributes:
    rootfloat

      Estimated root location.

    iterationsint

      Number of iterations needed to find the root.

    function_callsint

      Number of times the function was called.

    convergedbool

      True if the routine converged.

    flagstr

      Description of the cause of termination.

    methodstr

      Root finding method used.

  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 the key is not found, return the default if given; otherwise, raise a KeyError.
  `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`() |