title: Python. Q-Q plot with plotly with 2 samples of data (out of a big matrix of data)
body: <p>I have a normalized matrix (some values are NaN (I tell this because this might be the erro I get))</p>
  <p>I normalized the matrix with this:</p>
  <pre><code>   normi=(df_max_scaled-df_max_scaled.mean())/df_max_scaled.std()
  </code></pre>
  <p>till here seems all right</p>
  <pre><code>chart5 = qqplot_2samples(data1=(normi['A']), data2=(normi['B']),xlabel='A',ylabel='B',line='q')   
  </code></pre>
  <p>then</p>
  <pre><code>graph5 = dcc.Graph(
          id='graph5',
          figure=chart5,
  </code></pre>
  <p>some dropdowns and a div for the row, for the qq and a layout all with a app.layout=layout</p>
  <p>An a call back like this:</p>
  <pre><code>@app.callback(Output('graph5', 'figure'), [Input('dropdown_qq_chart1', 'value'), Input('dropdown_qq_chart2', 'value')])
  def update_qq(drop1, drop2):
      chart5 = qqplot_2samples(
  
                       data1=(normi[drop1]),
                      data2=(normi[drop2]),
                      xlabel=drop1,ylabel=drop2,line='q'
  
                     )
  
      return chart5  
  </code></pre>
  <p>I get this error in the browser: Error loading layout</p>
  <p>what is worng? and, how can I fix this?</p>