commit some shii

csv/netflix/main.py

@@ -0,0 +1,64 @@
+# -*- coding: utf-8 -*-
+import csv
+from collections import defaultdict
+
+typen = []
+jahre = []
+ratings = []
+dauern = []
+seasons = []
+titles = []
+
+count_types = defaultdict(int)
+count_ratings = defaultdict(int)
+
+with open("netflix.csv", encoding="utf-8") as f:
+    reader = csv.reader(f, delimiter=';')
+
+    header = next(reader)
+
+    for row in reader:
+        show_id, typ, title, director, country, release_year, rating, duration, season, listed_in = row
+
+        typen.append(typ)
+        titles.append(title)
+        count_types[typ] += 1
+        count_ratings[rating] += 1
+
+        jahre.append(int(release_year) if release_year.strip() else 0)
+        ratings.append(rating)
+        dauern.append(int(duration) if duration.strip() else 0)
+        seasons.append(int(season) if season.strip() else 0)
+
+anz_movies = count_types["Movie"]
+anz_series = count_types["TV Show"]
+
+movies_vor_2020 = sum(
+    1 for t, j in zip(typen, jahre) if t == "Movie" and j != 0 and j < 2020
+)
+
+anz_pg13 = count_ratings["PG-13"]
+
+movie_dauern = [d for t, d in zip(typen, dauern) if t == "Movie" and d > 0]
+durchschnitt_dauer = (sum(movie_dauern) / len(movie_dauern)) if movie_dauern else 0
+
+shows_eine_season = [
+    title for t, title, s in zip(typen, titles, seasons)
+    if t == "TV Show" and s == 1
+]
+
+if seasons:
+    max_season = max(seasons)
+    stelle = seasons.index(max_season)
+    show_mit_meisten_seasons = titles[stelle]
+else:
+    max_season = 0
+    show_mit_meisten_seasons = None
+
+print(f"Anzahl Movies: {anz_movies}")
+print(f"Anzahl Serien: {anz_series}")
+print(f"Movies vor 2020: {movies_vor_2020}")
+print(f"Anzahl PG-13 Inhalte: {anz_pg13}")
+print(f"Durchschnittliche Movie-Dauer: {durchschnitt_dauer:.2f} Minuten")
+print(f"{'-'*80}\nTV-Shows mit nur 1 Season:", *shows_eine_season, sep="\n")
+print(f"{'-'*80}\nTV-Show mit den meisten Seasons: {show_mit_meisten_seasons} mit {max_season} Seasons")