Binary Installers: http://pypi.python.org/pypi/pandas Source Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.co com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with to_frame method to convert it to a single-column DataFrame (GH5164) • All R datasets listed here http://stat.ethz.ch/R-manual/R-devel/library/datasets/html/00Index.html can now be loaded into Pandas objects

Binary Installers: http://pypi.python.org/pypi/pandas Source Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.co com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pystatsmodels pandas is a Python package providing fast, flexible, and expressive data structures designed to make working source 67 pandas: powerful Python data analysis toolkit, Release 0.12.0 The source code is hosted at http://github.com/pydata/pandas, it can be checked out using git and compiled / installed like so: git

Binary Installers: http://pypi.python.org/pypi/pandas Source Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.co com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with to_frame method to convert it to a single-column DataFrame (GH5164) • All R datasets listed here http://stat.ethz.ch/R-manual/R-devel/library/datasets/html/00Index.html can now be loaded into Pandas objects

Binary Installers: http://pypi.python.org/pypi/pandas Source Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.co com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with URL, either by explicitly setting the compression parameter or by inferring from the presence of the HTTP Content-Encoding header in the response (GH8685) • Enable writing Excel files in memory using StringIO/BytesIO

Binary Installers: http://pypi.python.org/pypi/pandas Source Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.co com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pystatsmodels pandas is a Python package providing fast, flexible, and expressive data structures designed to make working I recommend installing the latest Cython via easy_install -U Cython The source code is hosted at http://github.com/pydata/pandas, it can be checked out using git and compiled / installed like so: git

Binary Installers: http://pypi.python.org/pypi/pandas Source Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.co com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with Try using .loc[row_indexer,col_indexer] = value instead See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy • merge, DataFrame

Binary Installers: http://pypi.python.org/pypi/pandas Source Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.co com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with Try using .loc[row_indexer,col_indexer] = value instead See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy • merge, DataFrame

Binary Installers: http://pypi.python.org/pypi/pandas Source Repository: http://github.com/pandas-dev/pandas Issues & Ideas: https://github.com/pandas-dev/pandas/issues Q&A Support: http://stackoverflow http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python package providing fast, flexible, and expressive data structures designed to make working raise KeyError in the future, you can use .reindex() as an alternative. See the documentation here: http://pandas.pydata.org/pandas-docs/stable/indexing.html#deprecate-loc-reindex- ˓→listlike Out[4]: 1

Binary Installers: http://pypi.python.org/pypi/pandas Source Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.co com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with URL, either by explicitly setting the compression parameter or by inferring from the presence of the HTTP Content-Encoding header in the response (GH8685) • Enable writing Excel files in memory using StringIO/BytesIO

Binary Installers: http://pypi.python.org/pypi/pandas Source Repository: http://github.com/pandas-dev/pandas Issues & Ideas: https://github.com/pandas-dev/pandas/issues Q&A Support: http://stackoverflow http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python package providing fast, flexible, and expressive data structures designed to make working URL, either by explicitly setting the compression parameter or by inferring from the presence of the HTTP Content-Encoding header in the response (GH8685) • Enable writing Excel files in memory using StringIO/BytesIO