.. currentmodule:: pandas

.. ipython:: python
   :suppress:

   import os
   import csv
   from pandas.compat import StringIO, BytesIO
   import pandas as pd
   ExcelWriter = pd.ExcelWriter

   import sys
   reload(sys)  # Reload does the trick!
   sys.setdefaultencoding('UTF8')
   
   import numpy as np
   np.random.seed(123456)
   randn = np.random.randn
   np.set_printoptions(precision=4, suppress=True)

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

   import pandas.util.testing as tm
   pd.options.display.max_rows=15
   clipdf = pd.DataFrame({'A':[1,2,3],'B':[4,5,6],'C':['p','q','r']},
                         index=['x','y','z'])

.. _io.other:

Other file formats
------------------

pandas itself only supports IO with a limited set of file formats that map
cleanly to its tabular data model. For reading and writing other file formats
into and from pandas, we recommend these packages from the broader community.

netCDF
''''''

xarray_ provides data structures inspired by the pandas DataFrame for working
with multi-dimensional datasets, with a focus on the netCDF file format and
easy conversion to and from pandas.

.. _xarray: http://xarray.pydata.org/