29 lines
1.1 KiB
Python
29 lines
1.1 KiB
Python
# -*- coding: ansi -*-
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import csv
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seen = []
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fieldnames = ["Name", "Bundesland", "Flaeche", "Maximale Seetiefe", "Seevolumen", "Anzahl"]
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with open("seen.csv", newline="", encoding="ansi") as csvfile:
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reader = csv.DictReader(csvfile, delimiter=';', fieldnames=fieldnames)
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for row in reader:
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row['Flaeche'] = float(row['Flaeche'].replace(',', '.'))
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row['Maximale Seetiefe'] = float(row['Maximale Seetiefe'].replace(',', '.'))
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row['Seevolumen'] = float(row['Seevolufmen'].replace(',', '.')) if row['Seevolumen'] else 0
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seen.append(row)
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anzahl_seen = len(seen)
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gesamtflaeche = sum(s['Flaeche'] for s in seen)
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tiefster_see = max(seen, key=lambda s: s['Maximale Seetiefe'])
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durchschnittstiefe = sum(s['Maximale Seetiefe'] for s in seen) / anzahl_seen
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print(f"Anzahl der Seen: {anzahl_seen}")
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print(f"Gesamtfläche: {gesamtflaeche:.2f} km²")
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print(f"Tiefster See: {tiefster_see['Name']} mit {tiefster_see['Maximale Seetiefe']} m")
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print(f"Durchschnittliche Tiefe: {durchschnittstiefe:.2f} m\n")
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print("Liste aller Seen mit Bundesland:")
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for s in seen:
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print(f"{s['Name']} ({s['Bundesland']})")
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