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>
32 lines
No EOL
1.1 KiB
Python
32 lines
No EOL
1.1 KiB
Python
#!/usr/bin/env python3
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"""
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Create a simplified version of the 2020 Rolling Stone data with only Rank, Artist, and Album columns.
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"""
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import csv
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def main():
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# Read the original 2020 CSV and extract only needed columns
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simplified_albums = []
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with open('rolling_stone_top_500_albums_2020.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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simplified_albums.append({
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'Rank': row['Rank'],
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'Artist': row['Artist'],
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'Album': row['Album']
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})
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# Write simplified CSV
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with open('rolling_stone_2020_simplified.csv', 'w', newline='', encoding='utf-8') as file:
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fieldnames = ['Rank', 'Artist', 'Album']
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writer = csv.DictWriter(file, fieldnames=fieldnames)
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writer.writeheader()
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writer.writerows(simplified_albums)
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print(f"✅ Created simplified 2020 CSV with {len(simplified_albums)} albums")
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print(f"📁 Saved as: rolling_stone_2020_simplified.csv")
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if __name__ == "__main__":
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main() |