.. 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

Plotting
--------

:ref:`Plotting <visualization>` docs.

.. ipython:: python
   :suppress:

   import matplotlib.pyplot as plt
   plt.close('all')

.. ipython:: python

   ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))
   ts = ts.cumsum()

   @savefig series_plot_basic.png
   ts.plot()

On DataFrame, :meth:`~DataFrame.plot` is a convenience to plot all of the
columns with labels:

.. ipython:: python

   df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index,
                     columns=['A', 'B', 'C', 'D'])
   df = df.cumsum()

   @savefig frame_plot_basic.png
   plt.figure(); df.plot(); plt.legend(loc='best')