title: Scatter plot from multiple columns of a pandas dataframe
body: <p>I have a pandas dataframe that looks as below:</p>
  
  <pre><code>    Filename    GalCer(18:1/12:0)_IS    GalCer(d18:1/16:0)  GalCer(d18:1/18:0)  
  
  0   A-1-1   15.0    1.299366    40.662458   0.242658    6.891069    0.180315    
  
  1   A-1-2   15.0    1.341638    50.237734   0.270351    8.367316    0.233468    
  
  2   A-1-3   15.0    1.583500    47.039423   0.241681    7.902761    0.201153    
  
  3   A-1-4   15.0    1.635365    53.139610   0.322680    9.578195    0.345681    
  
  4   B-1-10  15.0    2.370330    80.209846   0.463770    13.729810   0.395355
  </code></pre>
  
  <p>I am trying to plot a scatter sub-plots with a shared x-axis with the first column "Filename" on the x-axis. While I am able to generate barplots, the following code gives me a key error for a scatter plot:</p>
  
  <pre><code>import matplotlib.pyplot as plt
  colnames = list (qqq.columns)
  
  qqq.plot.scatter(x=qqq.Filename, y=colnames[1:], legend=False, subplots = True, sharex = True, figsize = (10,50))
  
  KeyError: "['A-1-1' 'A-1-2' 'A-1-3' 'A-1-4' 'B-1-10' ] not in index"
  </code></pre>
  
  <p>The following code for barplots works fine. Do I need to specify something differently for the scatterplots?</p>
  
  <pre><code>import matplotlib.pyplot as plt
  colnames = list (qqq.columns)
  qqq.plot(x=qqq.Filename, y=colnames[1:], kind = 'bar', legend=False, subplots = True, sharex = True, figsize = (10,30))
  </code></pre>