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# numpy.lookfor

`numpy.``lookfor`(what, module=None, import_modules=True, regenerate=False, output=None)

  Do a keyword search on docstrings.

  A list of of objects that matched the search is displayed, sorted by relevance. All given keywords need to be found in the docstring for it to be returned as a result, but the order does not matter.

  Parameters : | what : str String containing words to look for. module : str or list, optional Name of module(s) whose docstrings to go through. import_modules : bool, optional Whether to import sub-modules in packages. Default is True. regenerate : bool, optional Whether to re-generate the docstring cache. Default is False. output : file-like, optional File-like object to write the output to. If omitted, use a pager.

  See also

  `source`, `info`

  Notes

  Relevance is determined only roughly, by checking if the keywords occur in the function name, at the start of a docstring, etc.

  Examples

      >>> np.lookfor('binary representation')
      Search results for 'binary representation'
      ------------------------------------------
      numpy.binary_repr
          Return the binary representation of the input number as a string.
      numpy.core.setup_common.long_double_representation
          Given a binary dump as given by GNU od -b, look for long double
      numpy.base_repr
          Return a string representation of a number in the given base system.
      ...

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