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    {"description":"实验创建于2022/12/19","graph":{"edges":[{"to_node_id":"-17:input_data","from_node_id":"-5:data"},{"to_node_id":"-17:features","from_node_id":"-12:data"}],"nodes":[{"node_id":"-5","module_id":"BigQuantSpace.use_datasource.use_datasource-v2","parameters":[{"name":"datasource_id","value":"bar1m_CN_STOCK_A","type":"Literal","bound_global_parameter":null},{"name":"start_date","value":"2021-02-18","type":"Literal","bound_global_parameter":null},{"name":"end_date","value":"2021-02-18","type":"Literal","bound_global_parameter":null},{"name":"before_start_days","value":90,"type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"instruments","node_id":"-5"},{"name":"features","node_id":"-5"}],"output_ports":[{"name":"data","node_id":"-5"}],"cacheable":true,"seq_num":1,"comment":"","comment_collapsed":true},{"node_id":"-12","module_id":"BigQuantSpace.input_features.input_features-v1","parameters":[{"name":"features","value":"\n# #号开始的表示注释,注释需单独一行\n# 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\n#5min TwAp\nmean((high+low + close) /3,5)* adjust_factor\n\n#5min wAP\nsum(close * volume ,5)/ sum(volume ,5) * adjust_factor","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"features_ds","node_id":"-12"}],"output_ports":[{"name":"data","node_id":"-12"}],"cacheable":true,"seq_num":2,"comment":"","comment_collapsed":true},{"node_id":"-17","module_id":"BigQuantSpace.derived_feature_extractor.derived_feature_extractor-v3","parameters":[{"name":"date_col","value":"date","type":"Literal","bound_global_parameter":null},{"name":"instrument_col","value":"instrument","type":"Literal","bound_global_parameter":null},{"name":"drop_na","value":"False","type":"Literal","bound_global_parameter":null},{"name":"remove_extra_columns","value":"False","type":"Literal","bound_global_parameter":null},{"name":"user_functions","value":"{}","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"input_data","node_id":"-17"},{"name":"features","node_id":"-17"}],"output_ports":[{"name":"data","node_id":"-17"}],"cacheable":true,"seq_num":3,"comment":"","comment_collapsed":true}],"node_layout":"<node_postions><node_position Node='-5' Position='124,104,200,200'/><node_position Node='-12' Position='472,110,200,200'/><node_position Node='-17' Position='337,225,200,200'/></node_postions>"},"nodes_readonly":false,"studio_version":"v2"}
    In [ ]:
    # 本代码由可视化策略环境自动生成 2022年12月19日 15:53
    # 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。
    
    
    m1 = M.use_datasource.v2(
        datasource_id='bar1m_CN_STOCK_A',
        start_date='2021-02-18',
        end_date='2021-02-18',
        before_start_days=90
    )
    
    m2 = 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
    #5min TwAp
    mean((high+low + close) /3,5)* adjust_factor
    
    #5min wAP
    sum(close * volume ,5)/ sum(volume ,5) * adjust_factor"""
    )
    
    m3 = M.derived_feature_extractor.v3(
        input_data=m1.data,
        features=m2.data,
        date_col='date',
        instrument_col='instrument',
        drop_na=False,
        remove_extra_columns=False,
        user_functions={}
    )