AttributeError: 'Pandas' object has no attribute 'kc_percent'
matteomolino opened this issue · 2 comments
Hi
I'm here again with a new issue 🔢. When I run deep.rl.py I get this error "AttributeError: 'Pandas' object has no attribute 'kc_percent'". Probabably it's something with indicators but I couldn't figure it out. copy the error message here below FYI. I'd appreciate your effort to create this project.
/home/frequi/freqtrade/.env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/frequi/freqtrade/.env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/frequi/freqtrade/.env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/frequi/freqtrade/.env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/frequi/freqtrade/.env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/frequi/freqtrade/.env/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
{236429}
Traceback (most recent call last):
File "deep_rl.py", line 29, in
model.learn(total_timesteps=int(1e+6))
File "/home/frequi/freqtrade/.env/lib/python3.6/site-packages/stable_baselines/acer/acer_simple.py", line 578, in learn
enc_obs, obs, actions, rewards, mus, dones, masks = self.runner.run(callback)
File "/home/frequi/freqtrade/.env/lib/python3.6/site-packages/stable_baselines/common/base_class.py", line 794, in runner
self._runner = self._make_runner()
File "/home/frequi/freqtrade/.env/lib/python3.6/site-packages/stable_baselines/acer/acer_simple.py", line 240, in _make_runner
return _Runner(env=self.env, model=self, n_steps=self.n_steps)
File "/home/frequi/freqtrade/.env/lib/python3.6/site-packages/stable_baselines/acer/acer_simple.py", line 682, in init
super(_Runner, self).init(env=env, model=model, n_steps=n_steps)
File "/home/frequi/freqtrade/.env/lib/python3.6/site-packages/stable_baselines/common/runners.py", line 31, in init
self.obs[:] = env.reset()
File "/home/frequi/freqtrade/.env/lib/python3.6/site-packages/stable_baselines/common/vec_env/dummy_vec_env.py", line 61, in reset
obs = self.envs[env_idx].reset()
File "/home/frequi/freqtrade/freqtradegym.py", line 238, in reset
return self._next_observation()
File "/home/frequi/freqtrade/freqtradegym.py", line 112, in _next_observation
row.kc_percent,
AttributeError: 'Pandas' object has no attribute 'kc_percent'
Hi @matteomolino,
Sorry for the late update.
It had been a really busy week for me.
The problem you have encountered is caused by the features name have to manually match in the indicator strategy and in freqtradegym.
And I did not match the correct feature names before I push the project.
I have updated the repo and I have changed many stuff. So you may have to re-download the repo.
This time I have tested this is a workable demo and you are very welcome to try it out.
Have fun!
Hi
No worries at all. I really thank you for your help and effort. I'm gonna download it again and use your developed model.
Bests