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# SALib.util.results module

class SALib.util.results.ResultDict(*args, **kwargs)

  Bases: `dict`

  Dictionary holding analysis results.

  Conversion methods (e.g. to Pandas DataFrames) to be attached as necessary by each implementing method

  Methods

  `clear`(/) | Remove all items from the dict.
  `copy`(/) | Return a shallow copy of the dict.
  `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`(/) | Return a set-like object providing a view on the dict's items.
  `keys`(/) | Return a set-like object providing a view on the dict's keys.
  `plot`([ax]) | Create bar chart of results
  `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.
  `to_df`() | Convert dict structure into Pandas DataFrame.
  `update`([E, ]**F) | If E is present and has a .keys() method, then does: for k in E.keys(): 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`(/) | Return an object providing a view on the dict's values.

  plot(ax=None)

    Create bar chart of results

  to_df()

    Convert dict structure into Pandas DataFrame.