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| temp_syms = [s for s in list(sp500_df[sp500_df.Sector == sect].Symbol.values) if s in df.symbol.unique()] | |
| temp_syms = random.sample(temp_syms, n_symbols) | |
| pf1_df = df[df.symbol.isin(temp_syms)] | |
| pf1_avg = get_avg_prices(pf1_df) | |
| pf1_var = pf1_avg.var() |
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