50f335f0071a8b5943e1111e338fa95d9c9be4c6,featuretools/computational_backends/feature_set_calculator.py,FeatureSetCalculator,_calculate_groupby_features,#FeatureSetCalculator#Any#Any#Any#,403
Before Change
else:
values = pd.Series(values, index=variable_data[0].index)
feature_name = f.get_name()
frame[feature_name].update(values)
return frame
After Change
// Note
// more efficient in pandas to concat and update only once
if feature_vals:
frame[f.get_name()].update(pd.concat(feature_vals))
return frame
def _calculate_direct_features(self, features, child_df, df_trie):
path = features[0].relationship_path
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: Featuretools/featuretools
Commit Name: 50f335f0071a8b5943e1111e338fa95d9c9be4c6
Time: 2019-06-24
Author: kmax12@gmail.com
File Name: featuretools/computational_backends/feature_set_calculator.py
Class Name: FeatureSetCalculator
Method Name: _calculate_groupby_features
Project Name: AllenCellModeling/pytorch_fnet
Commit Name: 40e356fe4fb521b92c0354509a94a780098b4f04
Time: 2017-10-12
Author: chek.o@outlook.com
File Name: fnet/functions.py
Class Name:
Method Name: test_model
Project Name: mathics/Mathics
Commit Name: 125849f2ec0051430b34b991740c1d2fafcdbeb4
Time: 2021-02-20
Author: matera@fisica.unlp.edu.ar
File Name: mathics/builtin/functional.py
Class Name: Function
Method Name: apply_named