From f20b5b8393cbaf5b29ed14724e73b55cb1247d74 Mon Sep 17 00:00:00 2001
From: Adrienucl <adrien.payen@student.uclouvain.be>
Date: Tue, 26 Dec 2023 11:52:08 +0100
Subject: [PATCH] last update
---
.DS_Store | Bin 6148 -> 6148 bytes
Dramas.csv | 3 -
projet_en_groupe/.DS_Store | Bin 6148 -> 6148 bytes
projet_en_groupe/algorithme_netflix.py | 102 ++++++++++++++-----------
4 files changed, 59 insertions(+), 46 deletions(-)
delete mode 100644 Dramas.csv
diff --git a/.DS_Store b/.DS_Store
index 9216513466f8ff22ac018f9a3316854345c7df53..8cdf8e4b7ca3b1bf1dcfe086c4c07c192600439a 100644
GIT binary patch
delta 48
zcmZoMXffEp%F4KNavWPBk7RYVp@pfAf}ydw!Q@+P(v01c=dsE&_H5qA>cO;`o#QV*
E0AQ02p8x;=
delta 25
hcmZoMXffEp$~rlY?abtrEP|UKv#Ky{X5;wB4*+!m2*v;a
diff --git a/Dramas.csv b/Dramas.csv
deleted file mode 100644
index 0e95f87..0000000
--- a/Dramas.csv
+++ /dev/null
@@ -1,3 +0,0 @@
-show_id,type,title,director,cast,country,date_added,release_year,rating,duration,listed_in,description
-s1237,Movie,Sentinelle,Julien Leclercq,"Olga Kurylenko, Marilyn Lima, Michel Nabokoff, Martin Swabey, Carole Weyers, Andrey Gorlenko, Antonia Malinova, Gabriel Almaer, Blaise Afonso, Guillaume Duhesme, Michel Biel",France,"March 5, 2021",2021,TV-MA,81 min,"Action & Adventure, Dramas, International Movies","Transferred home after a traumatizing combat mission, a highly trained French soldier uses her lethal skills to hunt down the man who hurt her sister."
-s2669,Movie,Earth and Blood,Julien Leclercq,"Sami Bouajila, Eriq Ebouaney, Samy Seghir, Sofia Lesaffre","France, Belgium","April 17, 2020",2020,TV-MA,81 min,"Dramas, International Movies, Thrillers",A sawmill owner and his teenage daughter become tangled in a deadly feud when a drug dealer stashes stolen cocaine on their remote property.
diff --git a/projet_en_groupe/.DS_Store b/projet_en_groupe/.DS_Store
index 0bebdd61ccf544d5f88a54eb3b651bfcf9fc1fef..7497e4708f6e1681ff033c1a5e38ccb73901f431 100644
GIT binary patch
delta 70
zcmZoMXffEZm4$KV<ZUd48j{u3h8Cte3Wmn!2DLg0)s{vEItnJnX0^4P9HPql)<N;v
aIk|cH-IM)T<r#Z6=dsRU+RV=JmmdK378NJ}
delta 69
zcmZoMXffEZm4$J~<ZUd4>Jrt}M&_nE3dUx}wK@vbmPQ6T3MR&8wY8iaqRRT#LGjr+
Zxq10rll@uc8M`;<v(8}J%*OGL9{}Ye6!riB
diff --git a/projet_en_groupe/algorithme_netflix.py b/projet_en_groupe/algorithme_netflix.py
index 95acc01..9947d80 100644
--- a/projet_en_groupe/algorithme_netflix.py
+++ b/projet_en_groupe/algorithme_netflix.py
@@ -1,5 +1,4 @@
-# afficher le premier document
-
+# ALL the imports
import pandas as pd
import tabulate
import os
@@ -27,7 +26,7 @@ def catalog(data_1):
# Be careful, you need to ask each time if they want to save the list to a .csv
-def movies(data_1): # enregistrement
+def movies(data_1): # register
films = data_1[data_1['type'] == 'Movie'] # Filter the data to include only movies
movie_titles = films['title'].tolist() # Extract movie titles
@@ -129,8 +128,6 @@ def by_country(data_1):
# Be careful, you need to ask each time if they want to save the list to a .csv
-
-
def genre(data_1):
filtered_data = filter_media_type(data_1)
@@ -174,8 +171,6 @@ def genre(data_1):
return
-from fuzzywuzzy import process
-
def duration(data_1):
filtered_data = filter_media_type(data_1)
@@ -254,7 +249,9 @@ def director(data_1):
if director_name not in director_list and director_name != '':
director_list.append(director_name)
+ # Sort the director_list in alphabetical order
print("List of all possible directors: ")
+ director_list = sorted(director_list)
print(director_list)
while True:
@@ -298,6 +295,7 @@ def actor(data_1):
if actor_name not in actor_list and actor_name != '':
actor_list.append(actor_name)
+ actor_list = sorted(actor_list)
print("List of all possible actors: ")
print(actor_list)
@@ -340,7 +338,10 @@ def specific_genre_director(data_1):
unique_directors = filtered_data['director'].unique()
# Convert elements to strings to handle potential float values
unique_directors = [str(director) for director in unique_directors]
-
+
+ # Sort the unique_directors in alphabetical order
+ unique_directors = sorted(unique_directors)
+
print("List of all available directors:")
print(', '.join(unique_directors))
@@ -366,6 +367,9 @@ def specific_genre_director(data_1):
# Get a list of all available types without duplicates
unique_types = filtered_data['listed_in'].str.split(', ').explode().unique()
+ # Sort the unique_types in alphabetical order
+ unique_types = sorted(unique_types)
+
print("\nList of all available types:")
print(', '.join(unique_types))
@@ -412,7 +416,10 @@ def specific_genre_actor(data_1):
# Get a list of unique actors
unique_actors = filtered_data['cast'].str.split(', ').explode().unique()
unique_actors = [str(actor) for actor in unique_actors]
-
+
+ # Sort the unique_actors in alphabetical order
+ unique_actors = sorted(unique_actors)
+
print("List of all available actors:")
print(', '.join(unique_actors))
@@ -436,6 +443,9 @@ def specific_genre_actor(data_1):
# Get a list of all available types without duplicates
unique_types = filtered_data['listed_in'].str.split(', ').explode().unique()
+ # Sort the unique_types in alphabetical order
+ unique_types = sorted(unique_types)
+
print("\nList of all available types:")
print(', '.join(unique_types))
@@ -674,39 +684,50 @@ def basic_statistics(data_1):
# attention il faut demander à chaque fois, s'il désire enregistrer la liste sur un .csv
def save_to_csv(data, default_filename='output.csv'):
- # Ask if the user wants to save to a CSV file
- save_choice = input("Do you want to save the data to a CSV file? (YES/NO): ").upper()
-
- if save_choice == 'YES':
- # Prompt for a file name
- file_name = input("Enter the file name (DO NOT include .csv extension, or press Enter for the default): ")
- file_name = file_name + ".csv"
- if not file_name:
- file_name = default_filename
-
- # Check if the file already exists
- if os.path.exists(file_name):
- # Ask if the user wants to overwrite or create a new file
- overwrite_choice = input(f"The file '{file_name}' already exists. Do you want to overwrite it? (YES/NO): ").upper()
-
- if overwrite_choice == 'YES':
- # Overwrite the existing file
+ while True:
+ # Ask if the user wants to save to a CSV file
+ save_choice = input("Do you want to save the data to a CSV file? (YES/NO): ").upper()
+
+ if save_choice == 'YES':
+ # Prompt for a file name
+ file_name = input("Enter the file name (DO NOT include .csv extension, or press Enter for the default): ")
+ file_name = file_name + ".csv"
+ if not file_name:
+ file_name = default_filename
+
+ # Check if the file already exists
+ if os.path.exists(file_name):
+ while True:
+ # Ask if the user wants to overwrite or create a new file
+ overwrite_choice = input(f"The file '{file_name}' already exists. Do you want to overwrite it? (YES/NO): ").upper()
+
+ if overwrite_choice == 'YES':
+ # Overwrite the existing file
+ data.to_csv(file_name, index=False)
+ print(f"Data saved to {file_name}")
+ break
+ elif overwrite_choice == 'NO':
+ # Prompt for a new file name
+ new_filename = input("Enter a new file name (DO NOT include .csv extension): ")
+ new_filename = new_filename + ".csv"
+ data.to_csv(new_filename, index=False)
+ print(f"Data saved to {new_filename}")
+ break
+ else:
+ print("Invalid choice. Please enter either 'YES' or 'NO'.")
+
+ else:
+ # Save to a new file
data.to_csv(file_name, index=False)
print(f"Data saved to {file_name}")
+ break
- else:
- # Prompt for a new file name
- new_filename = input("Enter a new file name (DO NOT include .csv extension): ")
- new_filename = new_filename + ".csv"
- data.to_csv(new_filename, index=False)
- print(f"Data saved to {new_filename}")
- else:
- # Save to a new file
- data.to_csv(file_name, index=False)
- print(f"Data saved to {file_name}")
+ elif save_choice == 'NO':
+ print("Data not saved.")
+ break
- else:
- print("Data not saved.")
+ else:
+ print("Invalid choice. Please enter either 'YES' or 'NO.'")
@@ -802,11 +823,6 @@ def recommend_movies(user_id, catalog, user_ratings, category_matrix, threshold=
return sorted_suggestions[:5]
-
-
-# Ajout d'impression pour déboguer
-print("User categories:", categories)
-
def recommandation_algorithm() :
# Replace file_path_1 and file_path_2 with the actual file paths
--
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