import pandas as pd import os # Create sample product catalog data catalog_data = [ { "Product_ID": "D001", "Name": "Rosemary Floral Sundress", "Category": "Dress", "Price": 85, "Available_Sizes": "XS,S,M,L,XL", "Fit": "Relaxed", "Color": "Pink", "Pattern": "Floral", "Sleeve_Length": "Sleeveless", "Neckline": "V-neck", "Length": "Knee-length", "Occasion": "Casual", "Season": "Summer", "Brand": "SunnyDays", "Description": "Light and airy floral sundress perfect for summer occasions" }, { "Product_ID": "D002", "Name": "Daisy Print Midi Dress", "Category": "Dress", "Price": 90, "Available_Sizes": "S,M,L,XL", "Fit": "Relaxed", "Color": "Yellow", "Pattern": "Floral", "Sleeve_Length": "Sleeveless", "Neckline": "Round neck", "Length": "Midi", "Occasion": "Casual", "Season": "Summer", "Brand": "FloralFashion", "Description": "Cheerful daisy print midi dress with comfortable fit" }, { "Product_ID": "B001", "Name": "Classic Navy Blazer", "Category": "Blazer", "Price": 120, "Available_Sizes": "XS,S,M,L,XL,XXL", "Fit": "Tailored", "Color": "Navy", "Pattern": "Solid", "Sleeve_Length": "Long sleeve", "Neckline": "Collared", "Length": "Hip-length", "Occasion": "Formal", "Season": "All", "Brand": "Professional", "Description": "Timeless navy blazer for professional settings" }, { "Product_ID": "T001", "Name": "Casual Cotton T-Shirt", "Category": "Top", "Price": 25, "Available_Sizes": "XS,S,M,L,XL,XXL", "Fit": "Relaxed", "Color": "White", "Pattern": "Solid", "Sleeve_Length": "Short sleeve", "Neckline": "Round neck", "Length": "Hip-length", "Occasion": "Casual", "Season": "All", "Brand": "BasicWear", "Description": "Comfortable cotton t-shirt for everyday wear" }, { "Product_ID": "D003", "Name": "Elegant Black Evening Dress", "Category": "Dress", "Price": 150, "Available_Sizes": "XS,S,M,L,XL", "Fit": "Bodycon", "Color": "Black", "Pattern": "Solid", "Sleeve_Length": "Sleeveless", "Neckline": "V-neck", "Length": "Maxi", "Occasion": "Formal", "Season": "All", "Brand": "ElegantEvening", "Description": "Sophisticated black dress perfect for formal events" }, { "Product_ID": "J001", "Name": "High-Waisted Skinny Jeans", "Category": "Jeans", "Price": 65, "Available_Sizes": "24,26,28,30,32,34", "Fit": "Slim", "Color": "Blue", "Pattern": "Solid", "Sleeve_Length": "N/A", "Neckline": "N/A", "Length": "Full-length", "Occasion": "Casual", "Season": "All", "Brand": "DenimCo", "Description": "Classic high-waisted skinny jeans in dark wash" }, { "Product_ID": "S001", "Name": "Flowy Maxi Skirt", "Category": "Skirt", "Price": 45, "Available_Sizes": "XS,S,M,L,XL", "Fit": "Relaxed", "Color": "Mint Green", "Pattern": "Solid", "Sleeve_Length": "N/A", "Neckline": "N/A", "Length": "Maxi", "Occasion": "Casual", "Season": "Summer", "Brand": "FlowingFashion", "Description": "Comfortable maxi skirt with elastic waistband" }, { "Product_ID": "A001", "Name": "Athletic Yoga Set", "Category": "Activewear", "Price": 55, "Available_Sizes": "XS,S,M,L,XL", "Fit": "Athletic", "Color": "Black", "Pattern": "Solid", "Sleeve_Length": "Long sleeve", "Neckline": "Round neck", "Length": "Full-length", "Occasion": "Workout", "Season": "All", "Brand": "FitLife", "Description": "High-performance yoga set with moisture-wicking fabric" }, { "Product_ID": "D004", "Name": "Bohemian Maxi Dress", "Category": "Dress", "Price": 95, "Available_Sizes": "S,M,L,XL", "Fit": "Relaxed", "Color": "Multi", "Pattern": "Paisley", "Sleeve_Length": "Long sleeve", "Neckline": "V-neck", "Length": "Maxi", "Occasion": "Casual", "Season": "Fall", "Brand": "BohoChic", "Description": "Free-spirited maxi dress with paisley print" }, { "Product_ID": "T002", "Name": "Pastel Pink Blouse", "Category": "Top", "Price": 40, "Available_Sizes": "XS,S,M,L,XL", "Fit": "Tailored", "Color": "Light Pink", "Pattern": "Solid", "Sleeve_Length": "Short sleeve", "Neckline": "Button-up", "Length": "Hip-length", "Occasion": "Business Casual", "Season": "Spring", "Brand": "ProfessionalPastels", "Description": "Soft pink blouse perfect for office wear" } ] # Create DataFrame and save to Excel df = pd.DataFrame(catalog_data) os.makedirs('data', exist_ok=True) df.to_excel('data/Apparels_shared.xlsx', index=False) print("Sample catalog created successfully!")