title: Join seaborn stripplot with line plot using pandas groupby mean values
body: <p>I am working on plot with seaborn and want to plot two graphs in one figure.</p>
  
  <p>data frame likes below.</p>
  
  <pre><code>        liquidity   lcindex
  86493   0.611899    decline
  86494   0.585814    revival
  86495   0.553165    revival
  86496   0.527779    revival
  86497   0.521026    mature
  86498   0.530813    decline
  86499   0.530970    decline
  86500   0.564019    revival
  86501   0.564535    mature
  86502   0.529418    start
  86503   0.584290    start
  86504   0.550692    start
  86505   0.529517    start
  86506   0.520906    start
  86507   0.535492    revival
  86508   0.653324    decline
  86509   0.549327    revival
  86510   0.528509    revival
  86511   0.531548    revival
  86512   0.555610    revival
  86513   0.517208    decline
  86514   0.516283    decline
  86515   0.510123    mature
  86516   0.512255    revival
  86517   0.700632    mature
  86518   0.505878    revival
  86519   0.551810    revival
  86520   0.812280    revival
  86521   0.733664    decline
  86522   0.714617    decline
  </code></pre>
  
  <p>first graph is below.</p>
  
  <pre><code>sns.stripplot(x="lcindex", y="liquidity", data=finaldf, jitter = True)
  </code></pre>
  
  <p><a href="https://i.stack.imgur.com/QmM34.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/QmM34.png" alt="enter image description here"></a></p>
  
  <p>and I want to add line plot for mean value of liquidity by every x-values.
  I can obtain those values by </p>
  
  <pre><code>finaldf.groupby('lcindex')['liquidity'].mean().plot()
  
         lcindex
  decline    0.557899
  growth     0.553409
  mature     0.556915
  revival    0.559233 
  start      0.585221
  </code></pre>
  
  <p>and plot like this 
  <a href="https://i.stack.imgur.com/pKhNm.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/pKhNm.png" alt="enter image description here"></a></p>
  
  <p>if I plot together the figure cropped the both edge side of plots but I want the graph looks like first graph and add lines.</p>
  
  <pre><code>ax1 = sns.stripplot(
      x="lcindex", y="liquidity", data=finaldf, jitter=True,
      palette="husl", 
      order=['start','growth','mature','revival','decline']
  )
  
  finaldf.groupby('lcindex')['liquidity'].mean().plot()
  ax1.set_title ('title',fontsize=35)
  ax1.set(xlabel='Life cycle Index', ylabel='Liquidity Index')
  ax1.set(xticks=range(0, 5), xticklabels=["Start-up",'Growth', 'Mature', 'Revival',"Decline"])
  </code></pre>
  
  <p><a href="https://i.stack.imgur.com/QxgQw.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/QxgQw.png" alt="enter image description here"></a></p>
  
  <p>How I can do it?</p>