title: Pandas (0.16.2) Show 3 Rows of Dataframe
body: <p>I'm trying to limit the output of the pandas dataframe to the first 3 rows.  However I get a summary of all 500000 data points.  When I run this without specifying "Time [s]" as the index it works properly and I only get 3 rows of data.  I'm running Pandas 0.16.2 and Python 3.</p>
  
  <pre><code>%matplotlib inline
  import pandas as pd
  from sys import platform as _platform
  import matplotlib.pyplot as plt
  pd.set_option('display.mpl_style', 'default') # Make the graphs a bit prettier
  plt.rcParams['figure.figsize'] = (15, 5)
  
  shot1 = "C:\\Users\ELEC-LAB_1\Documents\GitHub\Black Powder\BlackPowder_Shot-1.csv"
  shot1_data = pd.read_csv(shot1, parse_dates=['Time [s]'], index_col='Time [s]') # Read the data using the time as the index.
  shot1_data[:3]
  </code></pre>
  
  <p>Time [s] CH 1 [psi] CH 2 [psi] CH 3 [psi] CH 4 [psi] CH 5 [psi] CH 6 [psi] CH 7 [psi] CH 8 [psi] CH 9 [psi] CH 10 [psi] CH 16 [V]</p>
  
  <p>-0.200000
  -0.018311 -0.054932 -0.012207 -0.054932 -0.006104 -0.048828 -0.030518 -0.018311 0.030518 -0.018311 0.011597 </p>
  
  <p>-0.199998
  0.006104 0.109863 0.048828 0.048828 -0.018311 -0.054932 0.042725 0.054932 -0.042725 0.024414 0.010986 </p>
  
  <p>-0.199996
  0.012207 -0.042725 0.061035 -0.097656 0.067139 0.006104 -0.054932 -0.067139 -0.097656 -0.134277 0.010986 </p>
  
  <p>-0.199994
  0.012207 -0.006104 -0.079346 0.036621 -0.036621 0.042725 0.006104 0.067139 0.012207 -0.042725 0.011597 </p>
  
  <p>-0.199992
  0.006104 0.067139 0.091553 0.091553 0.024414 0.012207 0.097656 -0.030518 -0.024414 0.061035 0.010986 </p>
  
  <p>-0.199990
  0.036621 0.006104 0.061035 0.109863 0.073242 0.067139 0.109863 -0.054932 0.158691 0.000000 0.011597 </p>
  
  <p>500000 rows × 11 columns</p>