commit some shii

csv/üben1/main.py

@@ -0,0 +1,28 @@
+# -*- coding: ansi -*-
+import csv
+
+seen = []
+
+fieldnames = ["Name", "Bundesland", "Flaeche", "Maximale Seetiefe", "Seevolumen", "Anzahl"]
+
+with open("seen.csv", newline="", encoding="ansi") as csvfile:
+    reader = csv.DictReader(csvfile, delimiter=';', fieldnames=fieldnames)
+    for row in reader:
+        row['Flaeche'] = float(row['Flaeche'].replace(',', '.'))
+        row['Maximale Seetiefe'] = float(row['Maximale Seetiefe'].replace(',', '.'))
+        row['Seevolumen'] = float(row['Seevolufmen'].replace(',', '.')) if row['Seevolumen'] else 0
+        seen.append(row)
+
+anzahl_seen = len(seen)
+gesamtflaeche = sum(s['Flaeche'] for s in seen)
+tiefster_see = max(seen, key=lambda s: s['Maximale Seetiefe'])
+durchschnittstiefe = sum(s['Maximale Seetiefe'] for s in seen) / anzahl_seen
+
+print(f"Anzahl der Seen: {anzahl_seen}")
+print(f"Gesamtfl<EFBFBD>che: {gesamtflaeche:.2f} km<6B>")
+print(f"Tiefster See: {tiefster_see['Name']} mit {tiefster_see['Maximale Seetiefe']} m")
+print(f"Durchschnittliche Tiefe: {durchschnittstiefe:.2f} m\n")
+
+print("Liste aller Seen mit Bundesland:")
+for s in seen:
+    print(f"{s['Name']} ({s['Bundesland']})")