52628d999e230c53fb25d153e33a4a818e46642f,nilmtk/dataset_converters/combed/convert_combed.py,,,#,16
Before Change
"Current": ("current", ""),
"reactive_power": ("power", "reactive"),
"apparent_power": ("power", "apparent"),
"power_factor": ("pf", ""),
"PF": ("pf", ""),
"phase_angle": ("phi", ""),
"VA": ("power", "apparent"),
After Change
"AHU": [0, 1, 2, 5]})
column_mapping = OrderedDict({
"Power": ("power", "active"),
"Energy": ("energy", "active"),
"Current": ("current", "")
})
def convert_combed(combed_path, hdf_filename):
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: nilmtk/nilmtk
Commit Name: 52628d999e230c53fb25d153e33a4a818e46642f
Time: 2014-09-21
Author: nipunreddevil@gmail.com
File Name: nilmtk/dataset_converters/combed/convert_combed.py
Class Name:
Method Name:
Project Name: anishathalye/neural-style
Commit Name: 45dd5c4dc55f4303e8c491fb79ba11ad1395b696
Time: 2018-10-23
Author: git@elcorto.com
File Name: stylize.py
Class Name:
Method Name: stylize
Project Name: unitedstates/congress-legislators
Commit Name: 750a2f4ecfbe4f34b93fd7df374a8d782078d8b8
Time: 2012-12-29
Author: operations@govtrack.us
File Name: scripts/process_election_results.py
Class Name:
Method Name: