Python NumPy Mini Projects: Movie Ratings Analyzer

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              It is a beginner friendly mini project in NumPy mini Project. It reads the user reviews. Analyzes the reviews and make a good statistical reports.

Let us implement this as follows…

Implementation:

  • This implementation starts from including numpy object.
  • The movies names are assigned for an array.
  • Ratings are recorder in another array.
  • 4 parameters are calculated here. first, average of the reviews. It uses mean() function.
  • Next, maximum and minimum calculation.This uses max() and min() functions.
  • Finally, median rating is calculated by median().
  • These values are displayed.
  • At last, the datas are sorted and displayed.

Code:

import numpy as np1

# Movie names

movies = np1.array([

    "Avengers:Doomsday",

    "Spider-Man: Brand New Day",

    "Jailer2",

    "Titanic",

    "Inception"

])

# Ratings out of 10

ratings = np1.array([8.6, 9.0, 9.3, 8.0, 8.1])

print("Movie Ratings")

for movie, rating in zip(movies, ratings):

    print(f"{movie}: {rating}")

# Statistics of the movie data

average_rating = np1.mean(ratings)

highest_rating = np1.max(ratings)

lowest_rating = np1.min(ratings)

median_rating = np1.median(ratings)

print("\n--- Statistics ---")

print("Average Rating:", average_rating)

print("Highest Rating:", highest_rating)

print("Lowest Rating:", lowest_rating)

print("Median Rating:", median_rating)

# Movies above average data

print("\nMovies Above Average Rating:")

above_avg = movies[ratings > average_rating]

for movie in above_avg:

    print(movie)

# Sorting of ratings

sorted_indices = np1.argsort(ratings)[::-1]

print("\nMovies Ranked:")

for i in sorted_indices:

    print(movies[i], "-", ratings[i])

Output:

Movie Ratings

Avengers:Doomsday: 8.6

Spider-Man: Brand New Day: 9.0

Jailer2: 9.3

Titanic: 8.0

Inception: 8.1

--- Statistics ---

Average Rating: 8.600000000000001

Highest Rating: 9.3

Lowest Rating: 8.0

Median Rating: 8.6

Movies Above Average Rating:

Spider-Man: Brand New Day

Jailer2

Movies Ranked:

Jailer2 - 9.3

Spider-Man: Brand New Day - 9.0

Avengers:Doomsday - 8.6

Inception - 8.1

Titanic - 8.0

The output is successful.

This is the way of implementing Movie Ratings Analyzer in Python using NumPy. Hope, you understood the concept. Keep Coding!!!!

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