title: How to use Pandas Series to plot two Time Series of different lengths/starting dates?
body: <p>I am plotting several pandas series objects of "total events per week". The data in the series <code>events_per_week</code> looks like this:</p>
  
  <pre><code>Datetime
   1995-10-09     45
   1995-10-16     63
   1995-10-23     83
   1995-10-30     91
   1995-11-06    101 
  Freq: W-SUN, dtype: int64
  </code></pre>
  
  <p>My problem is as follows. All pandas series are the same length, i.e. beginning in same year 1995. One array begins in 2003 however. <code>events_per_week2003</code> begins in 2003</p>
  
  <pre><code> Datetime
       2003-09-08     25
       2003-09-15     36
       2003-09-22     74
       2003-09-29     25
       2003-09-05    193 
      Freq: W-SUN, dtype: int64
  
  import matplotlib.pyplot as plt
  fig = plt.figure(figsize=(20,5))
  ax = plt.subplot(111)
  plt.plot(events_per_week)
  plt.plot(events_per_week2003)
  </code></pre>
  
  <p>I get the following value error. </p>
  
  <pre><code>ValueError: setting an array element with a sequence.
  </code></pre>
  
  <p>How can I do this? </p>