title: pandas pie chart plot remove the label text on the wedge
body: <p>the pie chart example on pandas plotting tutorial <a href="http://pandas.pydata.org/pandas-docs/version/0.15.0/visualization.html" rel="noreferrer">http://pandas.pydata.org/pandas-docs/version/0.15.0/visualization.html</a> generates the following figure:</p>
  
  <p><img src="https://i.stack.imgur.com/Oy2mP.png" alt="enter image description here"></p>
  
  <p>with this code: </p>
  
  <pre><code>import matplotlib.pyplot as plt
  plt.style.use('ggplot')
  import numpy as np
  np.random.seed(123456)
  
  
  import pandas as pd
  df = pd.DataFrame(3 * np.random.rand(4, 2), index=['a', 'b', 'c', 'd'], columns=['x', 'y'])
  
  f, axes = plt.subplots(1,2, figsize=(10,5))
  for ax, col in zip(axes, df.columns):
      df[col].plot(kind='pie', autopct='%.2f', labels=df.index,  ax=ax, title=col, fontsize=10)
      ax.legend(loc=3)
  
  plt.show()
  </code></pre>
  
  <p>I want to remove the text label (a,b,c,d) from both subplots, because for my application those label are long, so I only want to show them in legend. </p>
  
  <p>After read this: <a href="https://stackoverflow.com/questions/19852215/how-to-add-a-legend-to-matplotlib-pie-chart">How to add a legend to matplotlib pie chart?</a>, I figure out an way with <code>matplotlib.pyplot.pie</code> but the figure is not as fancy even if i am still using ggplot. </p>
  
  <pre><code>f, axes = plt.subplots(1,2, figsize=(10,5))
  for ax, col in zip(axes, df.columns):
      patches, text, _ = ax.pie(df[col].values, autopct='%.2f')
      ax.legend(patches, labels=df.index, loc='best')
  </code></pre>
  
  <p><img src="https://i.stack.imgur.com/iTJIh.png" alt="enter image description here"></p>
  
  <p>My question is, is there a way that can combine the things I want from both side? to be clear, I want the fanciness from pandas, but remove the text from the wedges. </p>
  
  <p>Thank you </p>