title: More plotting options for pandas.DataFrame.plot(kind="bar")
body: <p>The <code>pandas.DataFrame.plot(kind='bar')</code> method is convenient because it plots bars grouped and appropriately colored by the rows and columns of the data frame. For example:</p>
  
  <pre><code>timeDf.plot(kind='bar', legend=False)
  </code></pre>
  
  <p>produces</p>
  
  <p><img src="https://i.stack.imgur.com/ZQpai.png" alt="enter image description here"></p>
  
  <p>for the following data frame:</p>
  
  <p><img src="https://i.stack.imgur.com/hHxPB.png" alt="enter image description here"></p>
  
  <p>But what if I want the plot to have, e.g.</p>
  
  <ul>
  <li>logarithmic y-axis</li>
  <li>labels for the y- and x-axis</li>
  </ul>
  
  <p>The method itself does not seem to have options for that? Is the support for customization so limited or am I missing something?</p>
  
  <p>I hesitate to rebuild this plot function in matplotlib because I expect it to be laborious.</p>