c3a24799c8
- Added all 89 albums that were genuinely dropped from 2020 to 2023 - Fixed incorrect status markings (many albums marked "New in 2023" were not new) - Removed duplicates and albums incorrectly marked as dropped - Final count: 589 total (500 main list + 89 dropped) - Updated JavaScript validation for extended range - Created comprehensive analysis scripts to verify data Math now adds up correctly: 89 albums dropped to make room for new additions 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
105 lines
No EOL
3.7 KiB
Python
105 lines
No EOL
3.7 KiB
Python
#!/usr/bin/env python3
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"""
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Add the remaining dropped albums to complete the list of 89 total dropped albums.
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We already have 7, so we need to add 82 more.
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"""
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import csv
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# Albums already in our dropped list (501-507)
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already_added = {
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("The Rolling Stones", "Exile on Main Street"),
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("David Bowie", "The Rise and Fall of Ziggy Stardust and the Spiders From Mars"),
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("Prince", "Sign O' the Times"),
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("Eric B. and Rakim", "Paid in Full"),
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("Metallica", "Metallica (Black Album)"),
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("Weezer", "Weezer (Blue Album)"),
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("Sonic Youth", "Goo")
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}
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def main():
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# Read the complete dropped albums list
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all_dropped = []
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with open('truly_dropped_albums.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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all_dropped.append({
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'rank_2020': row['Original_Rank_2020'],
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'artist': row['Artist'],
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'album': row['Album']
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})
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print(f"📊 Total dropped albums from 2020→2023: {len(all_dropped)}")
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# Filter out the ones we've already added
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to_add = []
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for album in all_dropped:
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key = (album['artist'], album['album'])
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# Check variations
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if key not in already_added:
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# Also check without parentheses for Black Album
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alt_album = album['album'].replace(' (The Black Album)', '').replace(' (Blue Album)', '')
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alt_key = (album['artist'], alt_album)
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if alt_key not in already_added:
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to_add.append(album)
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print(f"📊 Already added as dropped: {len(already_added)}")
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print(f"📊 Need to add: {len(to_add)}")
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# Read current CSV
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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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albums.append(row)
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current_max_rank = max(int(album['Rank']) for album in albums)
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next_rank = current_max_rank + 1
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# Get info/descriptions from 2020 data
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info_desc_2020 = {}
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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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key = (row['Artist'], row['Album'])
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info_desc_2020[key] = {
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'info': row.get('Info', ''),
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'description': row.get('Description', '')
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}
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# Add remaining dropped albums
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added_count = 0
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for album in to_add:
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key = (album['artist'], album['album'])
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info_data = info_desc_2020.get(key, {'info': '', 'description': ''})
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albums.append({
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'Rank': str(next_rank),
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'Artist': album['artist'],
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'Album': album['album'],
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'Status': f"Dropped (was #{album['rank_2020']} in 2020)",
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'Info': info_data['info'],
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'Description': info_data['description']
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})
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next_rank += 1
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added_count += 1
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if added_count <= 10:
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print(f"✓ Added: #{album['rank_2020']} - {album['artist']} - {album['album']}")
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if added_count > 10:
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print(f"... and {added_count - 10} more")
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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(albums)
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print(f"\n✅ Added {added_count} dropped albums")
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print(f"📊 Total albums now: {len(albums)}")
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print(f"📊 Total dropped albums: {len([a for a in albums if 'Dropped' in a['Status']])}")
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if __name__ == "__main__":
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main() |