text: import numpy as np
  import pandas as pd
  
  '''
  The following code is to help you play with the concept of Dataframe in Pandas.
  
  You can think of a Dataframe as something with rows and columns. It is
  similar to a spreadsheet, a database table, or R's data.frame object.
  
  *This playground is inspired by Greg Reda's post on Intro to Pandas Data Structures:
  http://www.gregreda.com/2013/10/26/intro-to-pandas-data-structures/
  '''
  
  '''
  To create a dataframe, you can pass a dictionary of lists to the Dataframe
  constructor:
  1) The key of the dictionary will be the column name
  2) The associating list will be the values within that column.
  '''
  # Change False to True to see Dataframes in action
  if True:
      data = {'year': [2010, 2011, 2012, 2011, 2012, 2010, 2011, 2012],
              'team': ['Bears', 'Bears', 'Bears', 'Packers', 'Packers', 'Lions',
                       'Lions', 'Lions'],
              'wins': [11, 8, 10, 15, 11, 6, 10, 4],
              'losses': [5, 8, 6, 1, 5, 10, 6, 12]}
      football = pd.DataFrame(data)
      print football
  
  '''
  Pandas also has various functions that will help you understand some basic
  information about your data frame. Some of these functions are:
  1) dtypes: to get the datatype for each column
  2) describe: useful for seeing basic statistics of the dataframe's numerical
     columns
  3) head: displays the first five rows of the dataset
  4) tail: displays the last five rows of the dataset
  '''
  # Change False to True to see these functions in action
  if True:
      data = {'year': [2010, 2011, 2012, 2011, 2012, 2010, 2011, 2012],
              'team': ['Bears', 'Bears', 'Bears', 'Packers', 'Packers', 'Lions',
                       'Lions', 'Lions'],
              'wins': [11, 8, 10, 15, 11, 6, 10, 4],
              'losses': [5, 8, 6, 1, 5, 10, 6, 12]}
      football = pd.DataFrame(data)
      print football.dtypes
      print ""
      print football.describe()
      print ""
      print football.head()
      print ""
      print football.tail()
  