Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
(qqlib) C:\Users\man-pc\qlib>python examples/rl_order_execution/scripts/gen_pickle_data.py -c examples/rl_order_execution/scripts/pickle_data_config.yml
[18380:MainThread](2024-04-23 08:22:19,538) INFO - qlib.Initialization - [config.py:416] - default_conf: client.
[18380:MainThread](2024-04-23 08:22:20,609) INFO - qlib.Initialization - [init.py:74] - qlib successfully initialized based on client settings.
[18380:MainThread](2024-04-23 08:22:20,609) INFO - qlib.Initialization - [init.py:76] - data_path={'1min': WindowsPath('C:/Users/man-pc/qlib/data/bin')}
[18380:MainThread](2024-04-23 08:22:20,610) INFO - qlib.HighFreqProvider - [highfreq_provider.py:144] - [qlib.contrib.data.highfreq_provider]Generating dataset
[18380:MainThread](2024-04-23 08:22:24,047) INFO - qlib.timer - [log.py:127] - Time cost: 2.972s | Loading data Done
C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\contrib\data\highfreq_processor.py:52: RuntimeWarning: Mean of empty slice
self.feature_mean = np.nanmean(df_values)
C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\numpy\lib\nanfunctions.py:1878: RuntimeWarning: Degrees of freedom <= 0 for slice.
var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
[18380:MainThread](2024-04-23 08:22:24,051) ERROR - qlib.workflow - [utils.py:41] - An exception has been raised[ValueError: zero-size array to reduction operation fmax which has no identity].
File "examples/rl_order_execution/scripts/gen_pickle_data.py", line 30, in
feature = provider._gen_dataframe(deepcopy(provider.feature_conf))
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\contrib\data\highfreq_provider.py", line 147, in _gen_dataframe
dataset = init_instance_by_config(config)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\utils\mod.py", line 174, in init_instance_by_config
return klass(cls_kwargs, try_kwargs, kwargs)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\data\dataset__init.py", line 119, in init__
self.handler: DataHandler = init_instance_by_config(handler, accept_types=DataHandler)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\utils\mod.py", line 174, in init_instance_by_config
return klass(cls_kwargs, try_kwargs, kwargs)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\contrib\data\highfreq_handler.py", line 134, in init
super().init(
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\data\dataset\handler.py", line 468, in init
super().init(instruments, start_time, end_time, data_loader, kwargs)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\data\dataset\handler.py", line 100, in init
self.setup_data()
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\data\dataset\handler.py", line 619, in setup_data
self.fit_process_data()
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\data\dataset\handler.py", line 487, in fit_process_data
self.process_data(with_fit=True)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\data\dataset\handler.py", line 551, in process_data
_infer_df = self._run_proc_l(_infer_df, self.infer_processors, with_fit=with_fit, check_for_infer=True)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\data\dataset\handler.py", line 498, in _run_proc_l
proc.fit(df)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\contrib\data\highfreq_processor.py", line 58, in fit
np.save(self.feature_save_dir + name + "_vmax.npy", np.nanmax(df_values))
File "<__array_function__ internals>", line 180, in nanmax
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\numpy\lib\nanfunctions.py", line 476, in nanmax
res = np.fmax.reduce(a, axis=axis, out=out, kwargs)
ValueError: zero-size array to reduction operation fmax which has no identity
(qqlib) C:\Users\man-pc\qlib>python examples/rl_order_execution/scripts/gen_pickle_data.py -c examples/rl_order_execution/scripts/pickle_data_config.yml [18380:MainThread](2024-04-23 08:22:19,538) INFO - qlib.Initialization - [config.py:416] - default_conf: client. [18380:MainThread](2024-04-23 08:22:20,609) INFO - qlib.Initialization - [init.py:74] - qlib successfully initialized based on client settings. [18380:MainThread](2024-04-23 08:22:20,609) INFO - qlib.Initialization - [init.py:76] - data_path={'1min': WindowsPath('C:/Users/man-pc/qlib/data/bin')} [18380:MainThread](2024-04-23 08:22:20,610) INFO - qlib.HighFreqProvider - [highfreq_provider.py:144] - [qlib.contrib.data.highfreq_provider]Generating dataset [18380:MainThread](2024-04-23 08:22:24,047) INFO - qlib.timer - [log.py:127] - Time cost: 2.972s | Loading data Done C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\contrib\data\highfreq_processor.py:52: RuntimeWarning: Mean of empty slice self.feature_mean = np.nanmean(df_values) C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\numpy\lib\nanfunctions.py:1878: RuntimeWarning: Degrees of freedom <= 0 for slice. var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, [18380:MainThread](2024-04-23 08:22:24,051) ERROR - qlib.workflow - [utils.py:41] - An exception has been raised[ValueError: zero-size array to reduction operation fmax which has no identity]. File "examples/rl_order_execution/scripts/gen_pickle_data.py", line 30, in
feature = provider._gen_dataframe(deepcopy(provider.feature_conf))
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\contrib\data\highfreq_provider.py", line 147, in _gen_dataframe
dataset = init_instance_by_config(config)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\utils\mod.py", line 174, in init_instance_by_config
return klass(cls_kwargs, try_kwargs, kwargs)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\data\dataset__init.py", line 119, in init__
self.handler: DataHandler = init_instance_by_config(handler, accept_types=DataHandler)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\utils\mod.py", line 174, in init_instance_by_config
return klass(cls_kwargs, try_kwargs, kwargs)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\contrib\data\highfreq_handler.py", line 134, in init
super().init(
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\data\dataset\handler.py", line 468, in init
super().init(instruments, start_time, end_time, data_loader, kwargs)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\data\dataset\handler.py", line 100, in init
self.setup_data()
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\data\dataset\handler.py", line 619, in setup_data
self.fit_process_data()
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\data\dataset\handler.py", line 487, in fit_process_data
self.process_data(with_fit=True)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\data\dataset\handler.py", line 551, in process_data
_infer_df = self._run_proc_l(_infer_df, self.infer_processors, with_fit=with_fit, check_for_infer=True)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\data\dataset\handler.py", line 498, in _run_proc_l
proc.fit(df)
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\qlib\contrib\data\highfreq_processor.py", line 58, in fit
np.save(self.feature_save_dir + name + "_vmax.npy", np.nanmax(df_values))
File "<__array_function__ internals>", line 180, in nanmax
File "C:\Users\man-pc\AppData\Local\anaconda3\envs\qqlib\lib\site-packages\numpy\lib\nanfunctions.py", line 476, in nanmax
res = np.fmax.reduce(a, axis=axis, out=out, kwargs)
ValueError: zero-size array to reduction operation fmax which has no identity