title: Iterate over a Pandas dataframe while skipping the first row
body: <p>I have a data set organized into a Pandas dataframe.</p>
  
  <p>Here's a small example of the data:</p>
  
  <pre><code>        x142_2012  x126_2012   x156_2012  x167_2012     x1_2012  x243_2012  
  0      690.842629   0.005029   51.600000   5.454545   43.000000  27.700000   
  1     4247.485437   5.062739   95.400000  54.655959  100.000000  15.700000   
  2     5583.616160        NaN   84.900000  15.228027  100.000000  31.600000   
  3             NaN        NaN  100.000000        NaN   59.328910        NaN   
  4    39666.369210  34.335120  100.000000  86.434425  100.000000  50.000000   
  5     5531.776299        NaN   47.800000  16.937210   37.000000  34.100000   
  6    13525.616220  14.674017   97.900000  58.000000   90.875440  10.500000   
  7     7465.145864   3.196932   85.417850  29.954302   86.270751  14.872018   
  8    14357.411590  12.530952   98.600000  55.800000   99.800000  37.400000   
  9     3565.517575   7.142042   99.700000  37.500000  100.000000  10.700000   
  10            NaN        NaN   98.100000  74.000000   90.875440        NaN   
  </code></pre>
  
  <p>I want to build a bunch of scatterplots which compare the variable x142_2012 with each other variable, individually. Therefore, I want to iterate over the dataframe, while skipping the first entry. I tried this</p>
  
  <pre><code>import pandas as pd
  import matplotlib.pyplot as plt
  import seaborn as sns
  
  for variable in subset[1:]:
      plt.figure()
      scatterplot = sns.regplot(x="x142_2012", y=variable, fit_reg=False, data=subset)
  </code></pre>
  
  <p>but instead of outputting 5 scatterplots (<code>x/y1, x/y2, x/y3, x/y4, x/y5</code>), it output 6 scatterplots with the first being <code>x/x</code>.</p>
  
  <p>I'm getting around the issue with this:</p>
  
  <pre><code>for variable in subset:
      if variable == "x142_2012":
          continue
      plt.figure()
      scatterplot = sns.regplot(x="x142_2012", y=variable, fit_reg=False, data=subset)
  </code></pre>
  
  <p>But I don't find it very elegant. I looked at <a href="https://stackoverflow.com/questions/34389922/efficient-way-to-do-pandas-operation-and-skip-row">Efficient way to do pandas operation and skip row</a> and tried <code>for variable in subset[x].idx[1:]</code> but it gives me <code>AttributeError: 'Series' object has no attribute 'idx'</code>.</p>
  
  <p>Is there a better way to do this?</p>