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    In [38]:
    # 本代码由可视化策略环境自动生成 2021年12月10日 11:42
# 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。


m2 = M.instruments.v2(
    start_date='2020-01-01',
    end_date='2021-12-10',
    market='CN_STOCK_A',
    instrument_list='0000000001.SZA',
    max_count=0
)

m3 = 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_real=close/adjust_factor
open"""
)

m1 = M.use_datasource.v1(
    instruments=m2.data,
    features=m3.data,
    datasource_id='bar1d_CN_STOCK_A',
    start_date='',
    end_date=''
)

m4 = M.derived_feature_extractor.v3(
    input_data=m1.data,
    features=m3.data,
    date_col='date',
    instrument_col='instrument',
    drop_na=False,
    remove_extra_columns=False,
    user_functions={}
)

    ---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-38-8385991681a9> in <module>
     19 )
     20 
---> 21 m1 = M.use_datasource.v1(
     22     instruments=m2.data,
     23     features=m3.data,

AttributeError: 'NoneType' object has no attribute 'to_hdf'