Closed hengzhe-zhang closed 3 years ago
I have implemented it by myself.
from glob import glob
import json
import pandas as pd
files = glob('results/*/*.json')
data = []
for f in files:
with open(f) as ff:
data.append(json.load(ff))
new_df = pd.DataFrame(data)
I wanted to mention in commit 63637df41f597d2753e29601ae02fc60aee99890 we added collate scripts to post-processing, so the gap between the .json
results and saved .feather
results is eliminated.
I have executed the experiment script and it outputted several JSON files. However, an issue is that it seems that there is no script that can aggregate these results into a single file. Therefore, my question is, is there any additional analysis tool affiliate with this benchmark package?