title: Pandas Plotting Y-Axis indexing issue
body: <p>I have this pandas data frame set up:</p>
  <pre><code>    FY   NY_State
  0   1986-87   89431973
  1   1987-88   95958200
  2   1988-89  100664606
  3   1989-90   99703990
  4   1990-91   95446076
  5   1991-92   91487047
  6   1992-93   92658482
  7   1993-94   88026334
  8   1994-95   90845207
  9   1995-96   80070860
  10  1996-97   77357591
  11  1997-98   87040859
  12  1998-99   89547598
  13  1999-00   93484650
  14  2000-01  118696779
  15  2001-02  132748185
  16  2002-03  111932612
  17  2003-04  116911977
  18  2004-05  119898693
  19  2005-06  149293542
  20  2006-07  161647387
  21  2007-08  193891526
  22  2008-09  170071041
  23  2009-10  180069745
  24  2010-11  174704520
  </code></pre>
  <p>FWIW:</p>
  <pre><code>In [50]: totalData.dtypes
  Out[50]: 
  FY          object
  NY_State     int64
  dtype: object
  </code></pre>
  <p>I want to make a bar chart with the FY on the x-axis and the y-axis being the amount in the NY_State column.</p>
  <p>I've been getting some progress with this:</p>
  <pre><code>totalData.plot(x=totalData.FY, kind='bar')
  </code></pre>
  <p>but that gives me this:
  <img src="https://i.stack.imgur.com/WbrVq.png" alt="first chart" /></p>
  <p>Then I tried this:</p>
  <pre><code>totalData.plot(x=totalData.FY, kind='bar', ylim=(70000000, 240000000))
  </code></pre>
  <p>And that gave me this:</p>
  <p><img src="https://i.stack.imgur.com/Ch4Qw.png" alt="second chart" /></p>
  <p>Which is better, but still not what I want. I tried:</p>
  <pre><code>totalData.plot(x=totalData.FY, y=totalData.NY_State, kind='bar')
  </code></pre>
  <p>but that gives me an exception of</p>
  <pre><code>IndexError: indices are out-of-bounds
  </code></pre>
  <p>...which makes no sense whatsoever to me how that's possible.</p>
  <p>Would really appreciate help.</p>