title: How to fix dcc-garch model error : Shape of passed values is (77,45), indices imply (77,10)?
body: <p>I'm currently trying to construct a dcc-garch model.
  I'm trying to run this code right now but it keeps giving me: ValueError: Shape of passed values is (77, 45), indices imply (77, 10).</p>
  <p>I really need help! Does anyone know how to fix this?</p>
  <p>This is my code here:</p>
  <pre><code>#running 
  df1 = pd.DataFrame[(1,2,3,4,5,6,7,8,9,10,11)], columns=['TSLA', 'RAY', 'Industrials', 'Healthcare', 'Energy', 'Financial', 'Consumer', 'REITs', 'Tech', 'Market']
  
  dcc_corr = pd.DataFrame(veclRt, index = ret.iloc[:,:11].dropna().index, columns= corr_name_list)
  dcc_plot = px.line(dcc_corr, title = 'Dynamic Conditional Correlation plot', width=1000, height=500)
  dcc_plot.show()
  </code></pre>
  <p>And the error is:</p>
  <pre><code>ValueError: Shape of passed values is (77, 45), indices imply (77, 10)
  </code></pre>