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):
    
Italian Trulli
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: