Movies

Mon 30 June 2025
import matplotlib.pyplot as plt
movies = [
    {"title": "Inception", "rating": 8.8},
    {"title": "Interstellar", "rating": 8.6},
    {"title": "The Dark Knight", "rating": 9.0},
    {"title": "Tenet", "rating": 7.5},
    {"title": "Dunkirk", "rating": 7.9}
]
# Create DataFrame
import pandas as pd
df = pd.DataFrame(movies)
df
title rating
0 Inception 8.8
1 Interstellar 8.6
2 The Dark Knight 9.0
3 Tenet 7.5
4 Dunkirk 7.9
# Average rating
df["rating"].mean()
np.float64(8.36)
# Bar plot
df.plot.bar(x="title", y="rating", legend=False, color="purple")
plt.title("Movie Ratings")
plt.ylim(0, 10)
plt.show()

png

# High rated
df[df["rating"] >= 8.5]
title rating
0 Inception 8.8
1 Interstellar 8.6
2 The Dark Knight 9.0
# Sort by rating
df.sort_values(by="rating", ascending=False)
title rating
2 The Dark Knight 9.0
0 Inception 8.8
1 Interstellar 8.6
4 Dunkirk 7.9
3 Tenet 7.5
# Add genre
df["genre"] = ["Sci-Fi", "Sci-Fi", "Action", "Thriller", "War"]
df
title rating genre
0 Inception 8.8 Sci-Fi
1 Interstellar 8.6 Sci-Fi
2 The Dark Knight 9.0 Action
3 Tenet 7.5 Thriller
4 Dunkirk 7.9 War



Score: 5

Category: basics