title: How to keep a duplicate values on a scatter plot (plotly python)?
body: <br>
  <p>I have a dataframe with the top 10 Google search results for certain requests.
  I display this data on a graph. According to the axis X, I have domains, according to the axcis Y, their position.
  The problem is that several pages of the same domain can be simultaneously in the top 10, which is why a duplicate appears on the axis X, which is not displayed on the chart.<br><br>
  <strong>Question:</strong> is it possible to somehow bypass this and still display all domains, even if they are duplicated?</p>
  <p>Example of dataframe:
  <a href="https://i.stack.imgur.com/HhehC.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/HhehC.png" alt="enter image description here" /></a></p>
  <p>What does the graph look like:
  <a href="https://i.stack.imgur.com/axtww.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/axtww.png" alt="enter image description here" /></a></p>
  <p>Code of chart:</p>
  <pre><code>serp_csv2 = pd.read_csv('all.csv')
  rent_serp = serp_csv2[serp_csv2['searchTerms'].str.contains(&quot;аренда&quot;, regex=True, case=False)]
  rent_serp['bubble_size'] = 35
  rent_serp.set_index(&quot;queryTime&quot;, inplace=True)
  
  fig = px.scatter(rent_serp, x=&quot;displayLink&quot;, y=&quot;rank&quot;, animation_frame=rent_serp.index, animation_group=&quot;displayLink&quot;,
              color=&quot;displayLink&quot;, hover_name=&quot;link&quot;, hover_data=[&quot;title&quot;],
             log_y=False, 
             height=710, width=900, range_x=[-1,11], range_y=[1,11],  size=&quot;bubble_size&quot;, text=&quot;displayLink&quot;, template=&quot;plotly_dark&quot;, title=&quot;Heartbeat of SERP for 'аренда квартир киев'&quot;, labels={&quot;rank&quot;:&quot;Rankings&quot;,&quot;displayLink&quot;:&quot;Domain Names&quot;})
  fig.layout.updatemenus[0].buttons[0].args[1][&quot;frame&quot;][&quot;duration&quot;] = 450
  fig.layout.updatemenus[0].buttons[0].args[1][&quot;transition&quot;][&quot;duration&quot;] = 1500
  fig.update_xaxes(
          title_font = {&quot;size&quot;: 20},
          title_standoff = 45)
  fig.update_yaxes(
          title_font = {&quot;size&quot;: 20},
          title_standoff = 45)
  fig.show(renderer='notebook')
  </code></pre>