89b43bbd55550d5c103a8b06281d9bc62e533680,QUANTAXIS/QAData/data_resample.py,,QA_data_min_resample,#Any#Any#,348
Before Change
loffset=type_
).apply(CONVERSION)
resx = resx.append(d).append(f)
return resx.dropna().reset_index().set_index(["datetime", "code"])
After Change
closed="right",
loffset=type_
).apply(CONVERSION)
part_2 = min_data.iloc[idx.indexer_between_time("13:00", "15:00")]
part_2_res = part_2.resample(
type_,
base=0,
closed="right",
loffset=type_
).agg(CONVERSION)
return pd.concat([part_1_res, part_2_res]).dropna().sort_index().reset_index().set_index(["datetime", "code"])
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: QUANTAXIS/QUANTAXIS
Commit Name: 89b43bbd55550d5c103a8b06281d9bc62e533680
Time: 2019-08-05
Author: yutiansut@qq.com
File Name: QUANTAXIS/QAData/data_resample.py
Class Name:
Method Name: QA_data_min_resample
Project Name: ClimbsRocks/auto_ml
Commit Name: 33851dea0f6c75ca1e685037393ea7160506b53a
Time: 2016-10-08
Author: climbsbytes@gmail.com
File Name: auto_ml/predictor.py
Class Name: Predictor
Method Name: _prepare_for_training
Project Name: commonsense/conceptnet5
Commit Name: 79928872e7b2118ae0cbc8f818850473e15fe14f
Time: 2017-03-30
Author: rob@luminoso.com
File Name: conceptnet5/vectors/debias.py
Class Name:
Method Name: get_vocabulary_vectors