Tushyraw240702janewildetinyfireextra Quality Crackerj [hot]

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import pandas as pd df = pd.read_csv("tushyraw.csv", encoding="utf-8") df.columns = df.columns.str.strip().str.lower().str.replace(r'\W+','_',regex=True) df = df.drop_duplicates() df['date'] = pd.to_datetime(df['date'], errors='coerce').dt.date df = df.replace({'NA': None, '': None})