title: How to change the shape of the marker depending on a column variable?
body: <p>I am trying to create a scatter plot for a csv file in python which contains 4 columns <code>x</code>, <code>y</code>, <code>TL</code>, <code>L</code>. I am supposed to plot <code>x</code> versus <code>y</code> and change the color of the marker based on the <code>class ID</code> in the <code>TL</code> column which I have achieved in the below code.</p>
  
  <pre><code>import pandas as pd    
  from matplotlib import pyplot as plt    
  import numpy as np
  
  df=pd.read_csv('knnDataSet.csv')  
  df.columns=['SN','x','y','TL','L']
  
  color=['red','green','blue']
  
  groups = df.groupby('TL')
  
  fig, ax = plt.subplots()
  
  for name, group in groups:    
      ax.plot(group.x, group.y, marker='o', linestyle='', ms=12, label=name)
  
  ax.legend()    
  plt.show()
  </code></pre>
  
  <p>Also, I need to  change the shape depending on whether the marker has a label in the <code>L</code> column or not, but I dont know how to update my code to fit this requirement. </p>
  
  <p>Here is the link for the <code>knnDataSet.csv</code> file:
  <a href="https://www.dropbox.com/s/d9fzjs1pkmhyzqw/knnDataSet.csv?dl=0" rel="nofollow"><em>knnDataSet.csv</em></a> </p>