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')