title: How can I delete rows for a particular Date in a Pandas dataframe?
body: <p>I've got a Pandas DataFrame using Date as an index. How can I drop all rows that have the date "2000-01-06"?</p>
  
  <p>Sample code:</p>
  
  <pre><code>import numpy as np
  import pandas as pd
  
  dates = pd.date_range('1/1/2000', periods=8)
  df = pd.DataFrame(np.random.randn(8, 3), index=dates, columns=['A', 'B', 'C'])
  df.index.name = 'Date'
  </code></pre>
  
  <p>Example DataFrame:</p>
  
  <pre><code>                   A         B         C
  Date                                    
  2000-01-01 -0.501547 -0.227375  0.275931
  2000-01-02  0.994459  1.266288 -0.178603
  2000-01-03 -0.982746 -0.339685  0.157390
  2000-01-04 -1.013987 -1.074076 -2.346117
  2000-01-05 -0.101157 -0.698663  1.025318
  2000-01-06 -1.697615 -0.081638  1.075712
  2000-01-07  0.617587 -1.561204 -1.685774
  2000-01-08  0.049115  0.579139 -1.036961
  </code></pre>