{"description":"实验创建于2020/2/14","graph":{"edges":[{"to_node_id":"-89:features","from_node_id":"-70:data"},{"to_node_id":"-72:features","from_node_id":"-70:data"},{"to_node_id":"-505:input_1","from_node_id":"-70:data"},{"to_node_id":"-192:input_data","from_node_id":"-72:data"},{"to_node_id":"-493:input_data","from_node_id":"-89:data"},{"to_node_id":"-89:instruments","from_node_id":"-185:data"},{"to_node_id":"-198:sort_by_ds","from_node_id":"-505:data_1"},{"to_node_id":"-802:features","from_node_id":"-505:data_1"},{"to_node_id":"-72:input_data","from_node_id":"-493:data"},{"to_node_id":"-808:input_data","from_node_id":"-192:data"},{"to_node_id":"-802:input_data","from_node_id":"-198:sorted_data"},{"to_node_id":"-198:input_ds","from_node_id":"-808:data"}],"nodes":[{"node_id":"-70","module_id":"BigQuantSpace.input_features.input_features-v1","parameters":[{"name":"features","value":"alpha16=volume_0","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"features_ds","node_id":"-70"}],"output_ports":[{"name":"data","node_id":"-70"}],"cacheable":false,"seq_num":1,"comment":"","comment_collapsed":true},{"node_id":"-72","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":"-72"},{"name":"features","node_id":"-72"}],"output_ports":[{"name":"data","node_id":"-72"}],"cacheable":false,"seq_num":2,"comment":"","comment_collapsed":true},{"node_id":"-89","module_id":"BigQuantSpace.general_feature_extractor.general_feature_extractor-v7","parameters":[{"name":"start_date","value":"","type":"Literal","bound_global_parameter":null},{"name":"end_date","value":"","type":"Literal","bound_global_parameter":null},{"name":"before_start_days","value":"90","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"instruments","node_id":"-89"},{"name":"features","node_id":"-89"}],"output_ports":[{"name":"data","node_id":"-89"}],"cacheable":true,"seq_num":6,"comment":"","comment_collapsed":true},{"node_id":"-185","module_id":"BigQuantSpace.instruments.instruments-v2","parameters":[{"name":"start_date","value":"20180502","type":"Literal","bound_global_parameter":null},{"name":"end_date","value":"20180527","type":"Literal","bound_global_parameter":null},{"name":"market","value":"CN_STOCK_A","type":"Literal","bound_global_parameter":null},{"name":"instrument_list","value":"","type":"Literal","bound_global_parameter":null},{"name":"max_count","value":0,"type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"rolling_conf","node_id":"-185"}],"output_ports":[{"name":"data","node_id":"-185"}],"cacheable":true,"seq_num":17,"comment":"","comment_collapsed":true},{"node_id":"-505","module_id":"BigQuantSpace.features_short_user.features_short_user-v2","parameters":[],"input_ports":[{"name":"input_1","node_id":"-505"}],"output_ports":[{"name":"data_1","node_id":"-505"}],"cacheable":true,"seq_num":19,"comment":"","comment_collapsed":true},{"node_id":"-493","module_id":"BigQuantSpace.chinaa_stock_filter.chinaa_stock_filter-v1","parameters":[{"name":"index_constituent_cond","value":"%7B%22enumItems%22%3A%5B%7B%22value%22%3A%22%E5%85%A8%E9%83%A8%22%2C%22displayValue%22%3A%22%E5%85%A8%E9%83%A8%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E4%B8%8A%E8%AF%8150%22%2C%22displayValue%22%3A%22%E4%B8%8A%E8%AF%8150%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E6%B2%AA%E6%B7%B1300%22%2C%22displayValue%22%3A%22%E6%B2%AA%E6%B7%B1300%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E4%B8%AD%E8%AF%81500%22%2C%22displayValue%22%3A%22%E4%B8%AD%E8%AF%81500%22%2C%22selected%22%3Atrue%7D%2C%7B%22value%22%3A%22%E4%B8%AD%E8%AF%81800%22%2C%22displayValue%22%3A%22%E4%B8%AD%E8%AF%81800%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E4%B8%8A%E8%AF%81180%22%2C%22displayValue%22%3A%22%E4%B8%8A%E8%AF%81180%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E4%B8%AD%E8%AF%81100%22%2C%22displayValue%22%3A%22%E4%B8%AD%E8%AF%81100%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E6%B7%B1%E8%AF%81100%22%2C%22displayValue%22%3A%22%E6%B7%B1%E8%AF%81100%22%2C%22selected%22%3Afalse%7D%5D%7D","type":"Literal","bound_global_parameter":null},{"name":"board_cond","value":"%7B%22enumItems%22%3A%5B%7B%22value%22%3A%22%E5%85%A8%E9%83%A8%22%2C%22displayValue%22%3A%22%E5%85%A8%E9%83%A8%22%2C%22selected%22%3Atrue%7D%2C%7B%22value%22%3A%22%E4%B8%8A%E8%AF%81%E4%B8%BB%E6%9D%BF%22%2C%22displayValue%22%3A%22%E4%B8%8A%E8%AF%81%E4%B8%BB%E6%9D%BF%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E6%B7%B1%E8%AF%81%E4%B8%BB%E6%9D%BF%22%2C%22displayValue%22%3A%22%E6%B7%B1%E8%AF%81%E4%B8%BB%E6%9D%BF%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E5%88%9B%E4%B8%9A%E6%9D%BF%22%2C%22displayValue%22%3A%22%E5%88%9B%E4%B8%9A%E6%9D%BF%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E7%A7%91%E5%88%9B%E6%9D%BF%22%2C%22displayValue%22%3A%22%E7%A7%91%E5%88%9B%E6%9D%BF%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E5%8C%97%E4%BA%A4%E6%89%80%22%2C%22displayValue%22%3A%22%E5%8C%97%E4%BA%A4%E6%89%80%22%2C%22selected%22%3Afalse%7D%5D%7D","type":"Literal","bound_global_parameter":null},{"name":"industry_cond","value":"%7B%22enumItems%22%3A%5B%7B%22value%22%3A%22%E5%85%A8%E9%83%A8%22%2C%22displayValue%22%3A%22%E5%85%A8%E9%83%A8%22%2C%22selected%22%3Atrue%7D%2C%7B%22value%22%3A%22%E4%BA%A4%E9%80%9A%E8%BF%90%E8%BE%93%22%2C%22displayValue%22%3A%22%E4%BA%A4%E9%80%9A%E8%BF%90%E8%BE%93%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E4%BC%91%E9%97%B2%E6%9C%8D%E5%8A%A1%22%2C%22displayValue%22%3A%22%E4%BC%91%E9%97%B2%E6%9C%8D%E5%8A%A1%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E4%BC%A0%E5%AA%92%2F%E4%BF%A1%E6%81%AF%E6%9C%8D%E5%8A%A1%22%2C%22displayValue%22%3A%22%E4%BC%A0%E5%AA%92%2F%E4%BF%A1%E6%81%AF%E6%9C%8D%E5%8A%A1%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E5%85%AC%E7%94%A8%E4%BA%8B%E4%B8%9A%22%2C%22displayValue%22%3A%22%E5%85%AC%E7%94%A8%E4%BA%8B%E4%B8%9A%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E5%86%9C%E6%9E%97%E7%89%A7%E6%B8%94%22%2C%22displayValue%22%3A%22%E5%86%9C%E6%9E%97%E7%89%A7%E6%B8%94%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E5%8C%96%E5%B7%A5%22%2C%22displayValue%22%3A%22%E5%8C%96%E5%B7%A5%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E5%8C%BB%E8%8D%AF%E7%94%9F%E7%89%A9%22%2C%22displayValue%22%3A%22%E5%8C%BB%E8%8D%AF%E7%94%9F%E7%89%A9%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E5%95%86%E4%B8%9A%E8%B4%B8%E6%98%93%22%2C%22displayValue%22%3A%22%E5%95%86%E4%B8%9A%E8%B4%B8%E6%98%93%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E5%9B%BD%E9%98%B2%E5%86%9B%E5%B7%A5%22%2C%22displayValue%22%3A%22%E5%9B%BD%E9%98%B2%E5%86%9B%E5%B7%A5%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E5%AE%B6%E7%94%A8%E7%94%B5%E5%99%A8%22%2C%22displayValue%22%3A%22%E5%AE%B6%E7%94%A8%E7%94%B5%E5%99%A8%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E5%BB%BA%E7%AD%91%E6%9D%90%E6%96%99%2F%E5%BB%BA%E7%AD%91%E5%BB%BA%E6%9D%90%22%2C%22displayValue%22%3A%22%E5%BB%BA%E7%AD%91%E6%9D%90%E6%96%99%2F%E5%BB%BA%E7%AD%91%E5%BB%BA%E6%9D%90%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E5%BB%BA%E7%AD%91%E8%A3%85%E9%A5%B0%22%2C%22displayValue%22%3A%22%E5%BB%BA%E7%AD%91%E8%A3%85%E9%A5%B0%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E6%88%BF%E5%9C%B0%E4%BA%A7%22%2C%22displayValue%22%3A%22%E6%88%BF%E5%9C%B0%E4%BA%A7%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E6%9C%89%E8%89%B2%E9%87%91%E5%B1%9E%22%2C%22displayValue%22%3A%22%E6%9C%89%E8%89%B2%E9%87%91%E5%B1%9E%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E6%9C%BA%E6%A2%B0%E8%AE%BE%E5%A4%87%22%2C%22displayValue%22%3A%22%E6%9C%BA%E6%A2%B0%E8%AE%BE%E5%A4%87%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E6%B1%BD%E8%BD%A6%2F%E4%BA%A4%E8%BF%90%E8%AE%BE%E5%A4%87%22%2C%22displayValue%22%3A%22%E6%B1%BD%E8%BD%A6%2F%E4%BA%A4%E8%BF%90%E8%AE%BE%E5%A4%87%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E7%94%B5%E5%AD%90%22%2C%22displayValue%22%3A%22%E7%94%B5%E5%AD%90%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E7%94%B5%E6%B0%94%E8%AE%BE%E5%A4%87%22%2C%22displayValue%22%3A%22%E7%94%B5%E6%B0%94%E8%AE%BE%E5%A4%87%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E7%BA%BA%E7%BB%87%E6%9C%8D%E8%A3%85%22%2C%22displayValue%22%3A%22%E7%BA%BA%E7%BB%87%E6%9C%8D%E8%A3%85%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E7%BB%BC%E5%90%88%22%2C%22displayValue%22%3A%22%E7%BB%BC%E5%90%88%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E8%AE%A1%E7%AE%97%E6%9C%BA%22%2C%22displayValue%22%3A%22%E8%AE%A1%E7%AE%97%E6%9C%BA%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E8%BD%BB%E5%B7%A5%E5%88%B6%E9%80%A0%22%2C%22displayValue%22%3A%22%E8%BD%BB%E5%B7%A5%E5%88%B6%E9%80%A0%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E9%80%9A%E4%BF%A1%22%2C%22displayValue%22%3A%22%E9%80%9A%E4%BF%A1%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E9%87%87%E6%8E%98%22%2C%22displayValue%22%3A%22%E9%87%87%E6%8E%98%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E9%92%A2%E9%93%81%22%2C%22displayValue%22%3A%22%E9%92%A2%E9%93%81%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E9%93%B6%E8%A1%8C%22%2C%22displayValue%22%3A%22%E9%93%B6%E8%A1%8C%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E9%9D%9E%E9%93%B6%E9%87%91%E8%9E%8D%22%2C%22displayValue%22%3A%22%E9%9D%9E%E9%93%B6%E9%87%91%E8%9E%8D%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E9%A3%9F%E5%93%81%E9%A5%AE%E6%96%99%22%2C%22displayValue%22%3A%22%E9%A3%9F%E5%93%81%E9%A5%AE%E6%96%99%22%2C%22selected%22%3Afalse%7D%5D%7D","type":"Literal","bound_global_parameter":null},{"name":"st_cond","value":"%7B%22enumItems%22%3A%5B%7B%22value%22%3A%22%E5%85%A8%E9%83%A8%22%2C%22displayValue%22%3A%22%E5%85%A8%E9%83%A8%22%2C%22selected%22%3Atrue%7D%2C%7B%22value%22%3A%22%E6%AD%A3%E5%B8%B8%22%2C%22displayValue%22%3A%22%E6%AD%A3%E5%B8%B8%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22ST%22%2C%22displayValue%22%3A%22ST%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22*ST%22%2C%22displayValue%22%3A%22*ST%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E6%9A%82%E5%81%9C%E4%B8%8A%E5%B8%82%22%2C%22displayValue%22%3A%22%E6%9A%82%E5%81%9C%E4%B8%8A%E5%B8%82%22%2C%22selected%22%3Afalse%7D%5D%7D","type":"Literal","bound_global_parameter":null},{"name":"delist_cond","value":"%7B%22enumItems%22%3A%5B%7B%22value%22%3A%22%E5%85%A8%E9%83%A8%22%2C%22displayValue%22%3A%22%E5%85%A8%E9%83%A8%22%2C%22selected%22%3Atrue%7D%2C%7B%22value%22%3A%22%E9%80%80%E5%B8%82%22%2C%22displayValue%22%3A%22%E9%80%80%E5%B8%82%22%2C%22selected%22%3Afalse%7D%2C%7B%22value%22%3A%22%E9%9D%9E%E9%80%80%E5%B8%82%22%2C%22displayValue%22%3A%22%E9%9D%9E%E9%80%80%E5%B8%82%22%2C%22selected%22%3Afalse%7D%5D%7D","type":"Literal","bound_global_parameter":null},{"name":"output_left_data","value":"False","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"input_data","node_id":"-493"}],"output_ports":[{"name":"data","node_id":"-493"},{"name":"left_data","node_id":"-493"}],"cacheable":true,"seq_num":3,"comment":"","comment_collapsed":true},{"node_id":"-192","module_id":"BigQuantSpace.filter.filter-v3","parameters":[{"name":"expr","value":"date=='20180502'","type":"Literal","bound_global_parameter":null},{"name":"output_left_data","value":"False","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"input_data","node_id":"-192"}],"output_ports":[{"name":"data","node_id":"-192"},{"name":"left_data","node_id":"-192"}],"cacheable":true,"seq_num":11,"comment":"","comment_collapsed":true},{"node_id":"-198","module_id":"BigQuantSpace.sort.sort-v5","parameters":[{"name":"sort_by","value":"--","type":"Literal","bound_global_parameter":null},{"name":"group_by","value":"date","type":"Literal","bound_global_parameter":null},{"name":"keep_columns","value":"--","type":"Literal","bound_global_parameter":null},{"name":"ascending","value":"False","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"input_ds","node_id":"-198"},{"name":"sort_by_ds","node_id":"-198"}],"output_ports":[{"name":"sorted_data","node_id":"-198"}],"cacheable":true,"seq_num":12,"comment":"","comment_collapsed":true},{"node_id":"-802","module_id":"BigQuantSpace.winsorize.winsorize-v6","parameters":[{"name":"columns_input","value":"","type":"Literal","bound_global_parameter":null},{"name":"median_deviate","value":"1","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"input_data","node_id":"-802"},{"name":"features","node_id":"-802"}],"output_ports":[{"name":"data","node_id":"-802"}],"cacheable":true,"seq_num":13,"comment":"1倍标准差","comment_collapsed":false},{"node_id":"-808","module_id":"BigQuantSpace.dropnan.dropnan-v2","parameters":[],"input_ports":[{"name":"input_data","node_id":"-808"},{"name":"features","node_id":"-808"}],"output_ports":[{"name":"data","node_id":"-808"}],"cacheable":true,"seq_num":14,"comment":"","comment_collapsed":true}],"node_layout":"<node_postions><node_position Node='-70' Position='-104,-553,200,200'/><node_position Node='-72' Position='-525,-299,200,200'/><node_position Node='-89' Position='-529,-450,200,200'/><node_position Node='-185' Position='-530,-546,200,200'/><node_position Node='-505' Position='-103,-469,200,200'/><node_position Node='-493' Position='-524,-377,200,200'/><node_position Node='-192' Position='-515.7796096801758,-217.1678924560547,200,200'/><node_position Node='-198' Position='-512.0933609008789,-48.314802169799805,200,200'/><node_position Node='-802' Position='-42.68625259399414,-108.83316040039062,200,200'/><node_position Node='-808' Position='-521.4658737182617,-129.9423065185547,200,200'/></node_postions>"},"nodes_readonly":false,"studio_version":"v2"}

# 本代码由可视化策略环境自动生成 2022年8月21日 08:24
# 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.input_features.v1(
    features='alpha16=volume_0',
    m_cached=False
)

m19 = M.features_short_user.v2(
    input_1=m1.data
)

m17 = M.instruments.v2(
    start_date='20180502',
    end_date='20180527',
    market='CN_STOCK_A',
    instrument_list='',
    max_count=0
)

m6 = M.general_feature_extractor.v7(
    instruments=m17.data,
    features=m1.data,
    start_date='',
    end_date='',
    before_start_days=90
)

m3 = M.chinaa_stock_filter.v1(
    input_data=m6.data,
    index_constituent_cond=['中证500'],
    board_cond=['全部'],
    industry_cond=['全部'],
    st_cond=['全部'],
    delist_cond=['全部'],
    output_left_data=False
)

m2 = M.derived_feature_extractor.v3(
    input_data=m3.data,
    features=m1.data,
    date_col='date',
    instrument_col='instrument',
    drop_na=False,
    remove_extra_columns=False,
    m_cached=False
)

m11 = M.filter.v3(
    input_data=m2.data,
    expr='date==\'20180502\'',
    output_left_data=False
)

m14 = M.dropnan.v2(
    input_data=m11.data
)

m12 = M.sort.v5(
    input_ds=m14.data,
    sort_by_ds=m19.data_1,
    sort_by='--',
    group_by='date',
    keep_columns='--',
    ascending=False
)

m13 = M.winsorize.v6(
    input_data=m12.sorted_data,
    features=m19.data_1,
    columns_input='',
    median_deviate=1
)

[2022-08-21 08:23:53.113807] INFO: moduleinvoker: input_features.v1 开始运行..

[2022-08-21 08:23:53.137060] INFO: moduleinvoker: input_features.v1 运行完成[0.023267s].

[2022-08-21 08:23:53.146599] INFO: moduleinvoker: features_short_user.v2 开始运行..

[2022-08-21 08:23:53.189067] INFO: moduleinvoker: features_short_user.v2 运行完成[0.042456s].

[2022-08-21 08:23:53.196270] INFO: moduleinvoker: instruments.v2 开始运行..

[2022-08-21 08:23:53.206853] INFO: moduleinvoker: 命中缓存

[2022-08-21 08:23:53.209349] INFO: moduleinvoker: instruments.v2 运行完成[0.013083s].

[2022-08-21 08:23:53.222553] INFO: moduleinvoker: general_feature_extractor.v7 开始运行..

[2022-08-21 08:23:53.231733] INFO: moduleinvoker: 命中缓存

[2022-08-21 08:23:53.233680] INFO: moduleinvoker: general_feature_extractor.v7 运行完成[0.01114s].

[2022-08-21 08:23:53.243320] INFO: moduleinvoker: chinaa_stock_filter.v1 开始运行..

[2022-08-21 08:23:53.251525] INFO: moduleinvoker: 命中缓存

[2022-08-21 08:23:53.253273] INFO: moduleinvoker: chinaa_stock_filter.v1 运行完成[0.009958s].

[2022-08-21 08:23:53.261338] INFO: moduleinvoker: derived_feature_extractor.v3 开始运行..

[2022-08-21 08:23:53.395703] INFO: derived_feature_extractor: 提取完成 alpha16=volume_0, 0.002s

[2022-08-21 08:23:53.514991] INFO: derived_feature_extractor: /y_2018, 34038

[2022-08-21 08:23:53.586014] INFO: moduleinvoker: derived_feature_extractor.v3 运行完成[0.324631s].

[2022-08-21 08:23:53.602594] INFO: moduleinvoker: filter.v3 开始运行..

[2022-08-21 08:23:53.614941] INFO: filter: 使用表达式 date=='20180502' 过滤

[2022-08-21 08:23:53.692500] INFO: filter: 过滤 /y_2018, 469/0/34038

[2022-08-21 08:23:53.714805] INFO: moduleinvoker: filter.v3 运行完成[0.112208s].

[2022-08-21 08:23:53.723383] INFO: moduleinvoker: dropnan.v2 开始运行..

[2022-08-21 08:23:53.782959] INFO: dropnan: /y_2018, 469/469

[2022-08-21 08:23:53.817343] INFO: dropnan: 行数: 469/469

[2022-08-21 08:23:53.821699] INFO: moduleinvoker: dropnan.v2 运行完成[0.09831s].

[2022-08-21 08:23:53.826525] INFO: moduleinvoker: sort.v5 开始运行..

[2022-08-21 08:23:53.935160] INFO: moduleinvoker: sort.v5 运行完成[0.10862s].

[2022-08-21 08:23:53.940886] INFO: moduleinvoker: winsorize.v6 开始运行..

[2022-08-21 08:23:54.056796] INFO: moduleinvoker: winsorize.v6 运行完成[0.115902s].