def get(self, names_to_get, convert_to_numpy=True):
    """ Loads the requested variables from the matlab com client.

    names_to_get can be either a variable name or a list of variable names.
    If it is a variable name, the values is returned.
    If it is a list, a dictionary of variable_name -> value is returned.

    If convert_to_numpy is true, the method will all array values to numpy
    arrays. Scalars are left as regular python objects.

    """
    self._check_open()
    single_itme = isinstance(names_to_get, (unicode, str))
    if single_itme:
      names_to_get = [names_to_get]
    ret = {}
    for name in names_to_get:
      ret[name] = self.client.GetWorkspaceData(name, 'base')
      # TODO(daniv): Do we really want to reduce dimensions like that? what if this a row vector?
      while isinstance(ret[name], (tuple, list)) and len(ret[name]) == 1:
        ret[name] = ret[name][0]
      if convert_to_numpy and isinstance(ret[name], (tuple, list)):
        ret[name] = np.array(ret[name])
    if single_itme:
      return ret.values()[0]
    return ret
def get ( self , names_to_get , convert_to_numpy = True ) : self . _check_open ( ) single_itme = isinstance ( names_to_get , ( unicode , str ) ) if single_itme : names_to_get = [ names_to_get ] ret = { } for name in names_to_get : ret [ name ] = self . client . GetWorkspaceData ( name , 'base' ) while isinstance ( ret [ name ] , ( tuple , list ) ) and len ( ret [ name ] ) == 1 : ret [ name ] = ret [ name ] [ 0 ] if convert_to_numpy and isinstance ( ret [ name ] , ( tuple , list ) ) : ret [ name ] = np . array ( ret [ name ] ) if single_itme : return ret . values ( ) [ 0 ] return ret
Loads the requested variables from the matlab com client.

    names_to_get can be either a variable name or a list of variable names.
    If it is a variable name, the values is returned.
    If it is a list, a dictionary of variable_name -> value is returned.

    If convert_to_numpy is true, the method will all array values to numpy
    arrays. Scalars are left as regular python objects.