title: Pandas dataframe error: matplotlib.axes._subplots.AxesSubplot
body: <pre><code>import pandas as pd
  import matplotlib.pyplot as plt
  
  file = 'd:\\a\\pandas\\test.xlsx'
  data = pd.ExcelFile(file)
  df1 = data.parse('Link')
  df2 = df1[['dataFor', 'total']]
  df2
  </code></pre>
  
  <p>returns:</p>
  
  <p><a href="https://i.stack.imgur.com/ZhtvM.png" rel="noreferrer"><img src="https://i.stack.imgur.com/ZhtvM.png" alt="enter image description here"></a></p>
  
  <pre><code> print (type(df2))
  </code></pre>
  
  <p>tells me</p>
  
  <pre><code>class 'pandas.core.frame.DataFrame'
  </code></pre>
  
  <p>trying</p>
  
  <pre><code>df2.plot(kind='line')
  </code></pre>
  
  <p>returns</p>
  
  <pre><code>matplotlib.axes._subplots.AxesSubplot at 0xe4241d0
  </code></pre>
  
  <p>Could it be the environment?</p>
  
  <pre><code>Jupyter notebook &gt; Help &gt; About
  
  The version of the notebook server is 4.2.3 and is running on:
  Python 3.5.2 |Anaconda 4.2.0 (32-bit)| (default, Jul  5 2016, 11:45:57) [MSC    v.1900 32 bit (Intel)]
  </code></pre>
  
  <p>Where is the fault? Is matplotlib still the standard or should beginners go for Bokeh or for both?</p>