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# 本代码由可视化策略环境自动生成 2021年12月10日 13:58
# 本代码单元只能在可视化模式下编辑。您也可以拷贝代码，粘贴到新建的代码单元或者策略，然后修改。


m4 = M.use_datasource.v1(
    datasource_id='bar1d_CN_STOCK_A',
    start_date='2021-01-01',
    end_date='2021-11-01'
)

m1 = M.input_features.v1(
    features="""
# #号开始的表示注释，注释需单独一行
# 多个特征，每行一个，可以包含基础特征和衍生特征，特征须为本平台特征
close/open
"""
)

m2 = M.derived_feature_extractor.v3(
    input_data=m4.data,
    features=m1.data,
    date_col='date',
    instrument_col='instrument',
    drop_na=False,
    remove_extra_columns=False,
    user_functions={}
)

[2021-12-10 13:57:01.276130] INFO: moduleinvoker: use_datasource.v1 开始运行..

[2021-12-10 13:57:07.916942] INFO: moduleinvoker: use_datasource.v1 运行完成[6.640831s].

[2021-12-10 13:57:07.922852] INFO: moduleinvoker: input_features.v1 开始运行..

[2021-12-10 13:57:07.938429] INFO: moduleinvoker: 命中缓存

[2021-12-10 13:57:07.940965] INFO: moduleinvoker: input_features.v1 运行完成[0.018108s].

[2021-12-10 13:57:07.956357] INFO: moduleinvoker: derived_feature_extractor.v3 开始运行..

[2021-12-10 13:57:14.010528] INFO: derived_feature_extractor: 提取完成 close/open, 0.004s

[2021-12-10 13:57:19.210478] INFO: derived_feature_extractor: /data, 861628

[2021-12-10 13:57:21.518246] INFO: moduleinvoker: derived_feature_extractor.v3 运行完成[13.561882s].