df['Vol'] = (df['Price'].pct_change() * 100.0).rolling(30).std(ddof=0)
plt.xlabel('Date')
plt.ylabel('Volatility of Returns')
plt.plot(df.index, df['Vol'])
plt.legend(loc='upper center', shadow=True, fontsize='large')
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