88a6434132
- Corrected dropped albums to exactly 8 albums through detailed comparison analysis - Updated dropped albums list (ranks 501-508) with proper albums that were truly removed - Fixed "New in 2023" markings to show only 8 albums (balancing the 8 dropped) - Downloaded cover art for all 8 dropped albums - Removed incorrect cover art files for albums that weren't actually dropped - Updated data files with corrected artist/album name formatting for accurate matching 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
56 lines
No EOL
2.1 KiB
Python
56 lines
No EOL
2.1 KiB
Python
#!/usr/bin/env python3
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"""
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Update the main CSV with the correct 8 dropped albums, removing all incorrect entries.
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"""
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import csv
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def main():
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# The 8 correct dropped albums
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correct_dropped = [
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{'rank': 48, 'artist': 'Bob Marley and the Wailers', 'album': 'Legend'},
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{'rank': 170, 'artist': 'Cream', 'album': 'Disraeli Gears'},
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{'rank': 351, 'artist': 'Roxy Music', 'album': 'For Your Pleasure'},
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{'rank': 358, 'artist': 'Sonic Youth', 'album': 'Goo'},
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{'rank': 430, 'artist': 'Elvis Costello', 'album': 'My Aim Is True'},
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{'rank': 437, 'artist': 'Primal Scream', 'album': 'Screamadelica'},
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{'rank': 466, 'artist': 'The Beach Boys', 'album': 'The Beach Boys Today!'},
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{'rank': 491, 'artist': 'Harry Styles', 'album': 'Fine Line'}
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]
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# Read current data, keeping only ranks 1-500
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updated_albums = []
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with open('top_500_albums_2023.csv', 'r', encoding='utf-8') as file:
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reader = csv.DictReader(file)
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for row in reader:
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rank = int(row['Rank'])
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if rank <= 500:
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updated_albums.append(row)
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print(f"✅ Kept {len(updated_albums)} albums from ranks 1-500")
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# Add the 8 correct dropped albums
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for i, dropped in enumerate(correct_dropped, 1):
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updated_albums.append({
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'Rank': str(500 + i),
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'Artist': dropped['artist'],
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'Album': dropped['album'],
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'Status': f"Dropped (was #{dropped['rank']} in 2020)",
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'Info': '',
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'Description': ''
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})
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print(f"✅ Added {len(correct_dropped)} correct dropped albums")
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# Write updated CSV
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with open('top_500_albums_2023.csv', 'w', newline='', encoding='utf-8') as file:
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fieldnames = ['Rank', 'Artist', 'Album', 'Status', 'Info', 'Description']
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writer = csv.DictWriter(file, fieldnames=fieldnames)
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writer.writeheader()
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writer.writerows(updated_albums)
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print(f"✅ Updated CSV with {len(updated_albums)} total albums (500 + 8 dropped)")
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print(f"📁 Saved to: top_500_albums_2023.csv")
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if __name__ == "__main__":
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main() |