Not at all finished moodle point scraper

moodle_pointscraper.py

import pandas as pd
import argparse


# Example: printStuff('blub.html')
# Where 'blub.html' is downloaded from Moodle
def printStuff(fileName):
    table = pd.read_html(fileName)[0]
    res = table[1:-2][['Bereich', 'Prozentsatz']]
    res['Bereich'] = res['Bereich'].apply(lambda x: int(x[2:]))
    res['Prozentsatz'] = res['Prozentsatz'].apply(lambda x: float(x.replace(',','.')[:-2]))
    weights = res['Bereich']
    scores = res['Prozentsatz']

    print("\nScore in percent with worst assignment:")
    print(sum(weights*scores)/sum(weights))

    minimumId = res['Prozentsatz'].idxmin()
    bad_df = res.index.isin([minimumId])
    res = res[-bad_df]
    weights = res['Bereich']
    scores = res['Prozentsatz']

    print("\nScore in percent without worst assignment:")
    print(sum(weights*scores)/sum(weights))

    # Calculate needed points
    last_weight = int(table['Bereich'][12][2:])

    # Im System sind noch die Bonuspunkte eingerechnet
    last_weight = last_weight - 5

    print("\nNeeded points (last assignment): ")
    print(((90*(sum(weights)+last_weight) - sum(weights*scores))/last_weight)
          * last_weight / 100)


parser = argparse.ArgumentParser()
parser.add_argument("fileName", help="Path to html-File")
args = parser.parse_args()
printStuff(args.fileName)