title: Pandas not recognizing columns correctly
body: <p>I'm trying to plot from a CSV file using Spyder in Anaconda. But it seems Spyder is not reading my csv correctly.</p>
  
  <p>The first few rows and columns of the data as appeared in Excel/Numbers:</p>
  
  <p>[1/s]   [Pa]    [mPa·s] [mN·m]<br>
  1   100 124.83  1248.3  0.57307 Dy_fast
  2   72.8    97.795  1343.5  0.44897 Dy_fast
  3   53  76.539  1444.6  0.35139 Dy_fast</p>
  
  <p>I don't know how make it look like Excel, the values in each () correspond to the header [1/s], [Pa] etc.. I hope its not confusing</p>
  
  <pre><code>import pandas as pd
  import matplotlib.pyplot as plt
  df = pd.read_csv('7%PVA-PAA Viscosity Sweep.csv', encoding = 'ISO-8859-1', skiprows = 4)
  print(df)
  </code></pre>
  
  <p>The output seems to be empty</p>
  
  <pre><code>   Unnamed: 0
  0           NaN
  1           NaN
  2           NaN
  3           NaN
  4           NaN
  5           NaN
  ..          ...
  153         NaN
  154         NaN
  155         NaN
  156         NaN
  157         NaN
  
  [158 rows x 1 columns]
  </code></pre>
  
  <p>If I open the same file in Excel/Numbers, I get the desired data organized in tabular format. 
  I changed the encoding to <code>encoding = 'ISO-8859-1</code>" because I had encountered an error before <code>utf-8' codec can't decode byte 0xff in position 0: invalid start byte</code></p>
  
  <p>I am using Spyder 3.3.3</p>