def plotwrapper(f):
    """
    This decorator allows for PyMC arguments of various types to be passed to
    the plotting functions. It identifies the type of object and locates its
    trace(s), then passes the data to the wrapped plotting function.

    """

    def wrapper(pymc_obj, *args, **kwargs):
        start = 0
        if 'start' in kwargs:
            start = kwargs.pop('start')

        # Figure out what type of object it is
        try:
            # First try Model type
            for variable in pymc_obj._variables_to_tally:
                # Plot object
                if variable._plot is not False:
                    data = pymc_obj.trace(variable.__name__)[start:]
                    if size(data[-1]) >= 10 and variable._plot != True:
                        continue
                    elif variable.dtype is dtype('object'):
                        continue
                    name = variable.__name__
                    if args:
                        name = '%s_%s' % (args[0], variable.__name__)
                    f(data, name, *args, **kwargs)
            return
        except AttributeError:
            pass

        try:
            # Then try Trace type
            data = pymc_obj()[:]
            name = pymc_obj.name
            f(data, name, *args, **kwargs)
            return
        except (AttributeError, TypeError):
            pass

        try:
            # Then try Node type
            if pymc_obj._plot is not False:
                data = pymc_obj.trace()[start:]  # This is deprecated. DH
                name = pymc_obj.__name__
                f(data, name, *args, **kwargs)
            return
        except AttributeError:
            pass

        if isinstance(pymc_obj, dict):
            # Then try dictionary
            for i in pymc_obj:
                data = pymc_obj[i][start:]
                if args:
                    i = '%s_%s' % (args[0], i)
                elif 'name' in kwargs:
                    i = '%s_%s' % (kwargs.pop('name'), i)
                f(data, i, *args, **kwargs)
            return

        # If others fail, assume that raw data is passed
        f(pymc_obj, *args, **kwargs)

    wrapper.__doc__ = f.__doc__
    wrapper.__name__ = f.__name__
    return wrapper
This decorator allows for PyMC arguments of various types to be passed to
    the plotting functions. It identifies the type of object and locates its
    trace(s), then passes the data to the wrapped plotting function.