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Running
on
CPU Upgrade
drop rows (records) where hf_user_name does not exist (we display only verified users)
Browse files
app.py
CHANGED
@@ -575,6 +575,8 @@ async def remove_huggingfolks():
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community_global_df.drop(community_global_df.columns[2], axis=1, inplace=True)
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community_global_df.drop(community_global_df.columns[2], axis=1, inplace=True)
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community_global_df.drop(community_global_df.columns[3], axis=1, inplace=True)
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community_global_df['total_exp'] = community_global_df['total_exp'].str.strip('L').astype(int)
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community_global_df['total_exp'] = pd.to_numeric(community_global_df['total_exp'], errors='coerce').fillna(0).astype(int)
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community_global_df = community_global_df.nlargest(len(community_global_df), 'total_exp')
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community_global_df.drop(community_global_df.columns[2], axis=1, inplace=True)
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community_global_df.drop(community_global_df.columns[2], axis=1, inplace=True)
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community_global_df.drop(community_global_df.columns[3], axis=1, inplace=True)
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# drop rows (records) where hf_user_name does not exist (we display only verified users)
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community_global_df = community_global_df.dropna(subset=['hf_user_name'])
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community_global_df['total_exp'] = community_global_df['total_exp'].str.strip('L').astype(int)
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community_global_df['total_exp'] = pd.to_numeric(community_global_df['total_exp'], errors='coerce').fillna(0).astype(int)
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community_global_df = community_global_df.nlargest(len(community_global_df), 'total_exp')
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