title: Pandas pd.cut on Timestamps - "ValueError: bins must increase monotonically"
body: <p>I am trying to split time series data into labelled segments like this:</p>
  
  <pre><code>import pandas as pd
  import numpy as np
  
  # Create example DataFrame of stock values
  df = pd.DataFrame({
      'ticker':np.repeat( ['aapl','goog','yhoo','msft'], 25 ),
      'date':np.tile( pd.date_range('1/1/2011', periods=25, freq='D'), 4 ),
      'price':(np.random.randn(100).cumsum() + 10) })
  
  # Cut the date into sections 
  today = df['date'].max()
  bin_edges = [pd.Timestamp.min, today - pd.Timedelta('14 days'), today - pd.Timedelta('7 days'), pd.Timestamp.max]
  df['Time Group'] = pd.cut(df['date'], bins=bin_edges, labels=['history', 'previous week', 'this week'])
  </code></pre>
  
  <p>But I am getting an error even though <code>bin_edges</code> does seem to be increasing monotonically..</p>
  
  <pre><code>Traceback (most recent call last):
    File "C:\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3267, in run_code
      exec(code_obj, self.user_global_ns, self.user_ns)
    File "&lt;ipython-input-42-00524c0a883b&gt;", line 13, in &lt;module&gt;
      df['Time Group'] = pd.cut(df['date'], bins=bin_edges, labels=['history', 'previous week', 'this week'])
    File "C:\Anaconda3\lib\site-packages\pandas\core\reshape\tile.py", line 228, in cut
      raise ValueError('bins must increase monotonically.')
  ValueError: bins must increase monotonically.
  
  
  In[43]: bin_edges
  Out[43]: 
  [Timestamp('1677-09-21 00:12:43.145225'),
   Timestamp('2011-01-11 00:00:00'),
   Timestamp('2011-01-18 00:00:00'),
   Timestamp('2262-04-11 23:47:16.854775807')]
  </code></pre>
  
  <p>Why is this happening?</p>