.. currentmodule:: pandas

.. ipython:: python
   :suppress:

   import numpy as np
   import pandas as pd
   import os
   np.random.seed(123456)
   np.set_printoptions(precision=4, suppress=True)
   import matplotlib
   matplotlib.style.use('ggplot')
   import matplotlib.pyplot as plt
   pd.options.display.max_rows = 8
   dates = pd.date_range('20130101', periods=6)
   df = pd.DataFrame(np.random.randn(6,4), index=dates, columns=list('ABCD'))

Viewing Data
------------

See the :ref:`Basics section <basics>`

See the top & bottom rows of the frame

.. ipython:: python

   df.head()
   df.tail(3)

Display the index, columns, and the underlying numpy data

.. ipython:: python

   df.index
   df.columns
   df.values

Describe shows a quick statistic summary of your data

.. ipython:: python

   df.describe()

Transposing your data

.. ipython:: python

   df.T

Sorting by an axis

.. ipython:: python

   df.sort_index(axis=1, ascending=False)

Sorting by values

.. ipython:: python

   df.sort_values(by='B')