Single stock trading about finrl HOT 11 CLOSED

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AttributeError                            Traceback (most recent call last)
<ipython-input-22-1960ecceda46> in <module>()
      1 env_train = env_setup.create_env_training(data = train,
----> 2                                           env_class = SingleStockEnv)

/usr/local/lib/python3.6/dist-packages/finrl/env/environment.py in create_env_training(self, data, env_class, turbulence_threshold)
     54 
     55     def create_env_training(self, data, env_class, turbulence_threshold=150):
---> 56         env_train = DummyVecEnv([lambda: env_class(df = data,
     57                                                     stock_dim = self.stock_dim,
     58                                                     hmax = self.hmax,

/usr/local/lib/python3.6/dist-packages/stable_baselines3/common/vec_env/dummy_vec_env.py in __init__(self, env_fns)
     23 
     24     def __init__(self, env_fns: List[Callable[[], gym.Env]]):
---> 25         self.envs = [fn() for fn in env_fns]
     26         env = self.envs[0]
     27         VecEnv.__init__(self, len(env_fns), env.observation_space, env.action_space)

/usr/local/lib/python3.6/dist-packages/stable_baselines3/common/vec_env/dummy_vec_env.py in <listcomp>(.0)
     23 
     24     def __init__(self, env_fns: List[Callable[[], gym.Env]]):
---> 25         self.envs = [fn() for fn in env_fns]
     26         env = self.envs[0]
     27         VecEnv.__init__(self, len(env_fns), env.observation_space, env.action_space)

/usr/local/lib/python3.6/dist-packages/finrl/env/environment.py in <lambda>()
     63                                                     action_space = self.action_space,
     64                                                     tech_indicator_list = self.tech_indicator_list,
---> 65                                                     turbulence_threshold = turbulence_threshold)])
     66         return env_train
     67 

<ipython-input-17-33a3af6cb4c6> in __init__(self, df, stock_dim, hmax, initial_amount, transaction_cost_pct, reward_scaling, state_space, action_space, tech_indicator_list, turbulence_threshold, day)
     93         self.turbulence_threshold = turbulence_threshold
     94         # initalize state: inital amount + close price + shares + technical indicators + other features
---> 95         self.state = [self.initial_amount] +                       [self.data.close] +                       [0]*self.stock_dim  +                       sum([[self.data[tech]] for tech in self.tech_indicator_list ], [])+                       [self.data.open] +                       [self.data.high] +                       [self.data.low] +                      [self.data.daily_return]
     96         # initialize reward
     97         self.reward = 0

/usr/local/lib/python3.6/dist-packages/pandas/core/generic.py in __getattr__(self, name)
   5139             if self._info_axis._can_hold_identifiers_and_holds_name(name):
   5140                 return self[name]
-> 5141             return object.__getattribute__(self, name)
   5142 
   5143     def __setattr__(self, name: str, value) -> None:

AttributeError: 'Series' object has no attribute 'daily_return'