A simple benchmark for pandas.DataFrame being used in freqtrade.
We need to know whether PerformanceWarning is an indication of a significant slowdown
or whether it can be safely ignored.
Therefore we are collecting stats to make a decision.
You will need docker and docker-compose
docker-compose up
Create a pull request with the updated CSV containing your values.
- Open
eval.fods(works with LibreOffice) - Copy paste the contents of
results.csvonto theresults.csvsheet (don't replace the red text) - Switch to the second sheet (Called "Evaluation"), right click on the table and select "Refresh..."
You might need to extend the second table beside the first (pivot table) one if your CPU is hitherto unknown.
Generated with LibreOffice gen_img.sh
