diff options
author | Niclas Dobbertin <niclas.dobbertin@stud.tu-darmstadt.de> | 2023-10-02 19:11:24 +0200 |
---|---|---|
committer | Niclas Dobbertin <niclas.dobbertin@stud.tu-darmstadt.de> | 2023-10-02 19:11:24 +0200 |
commit | ddab7c6cc5ba7e785aadb224f294284b0564acd6 (patch) | |
tree | 11e2eab853ee35a9d621c5d350cde9cfc9f74393 /bjoern/videoanalyse/eval.py | |
parent | 7266e2787bfa661d490be9c4463e707e6ffe1715 (diff) |
refactor post processing into single script
Diffstat (limited to 'bjoern/videoanalyse/eval.py')
-rw-r--r-- | bjoern/videoanalyse/eval.py | 29 |
1 files changed, 0 insertions, 29 deletions
diff --git a/bjoern/videoanalyse/eval.py b/bjoern/videoanalyse/eval.py deleted file mode 100644 index a917b7a..0000000 --- a/bjoern/videoanalyse/eval.py +++ /dev/null @@ -1,29 +0,0 @@ -#!/usr/bin/env python3 - -import argparse -from pathlib import Path -import pandas as pd -import csv -from Levenshtein import distance as levendist - - -argparser = argparse.ArgumentParser( - description="Distance evaluation" -) -argparser.add_argument( - "vp_dir", help="Directory containing merged.csv" -) - -args = argparser.parse_args() - -vp_path = Path(args.vp_dir) - -df = pd.read_csv(vp_path / "merged.csv") - -df["levenshtein-distance"] = df.apply( - lambda row: levendist(str(row.url), str(row.log_url)), axis=1 -) - - - -df.to_csv(vp_path / "metrics.csv", quoting=csv.QUOTE_NONNUMERIC) |