hi all, I'm pleased to announce the 0.9.0 release of pandas. This is a major release with several feature improvements, a very large number of bug- and corner case-fixes, and minor, but necessary API changes. Many issues that were preventing pandas 0.7.x users from upgrading to 0.8.x (due to numpy.datetime64 problems) have been fixed. I recommend that all users upgrade to it as soon as feasible. Thanks to all who contributed to this release, especially Chang She, Wouter Overmeire, and y-p. As always source archives and Windows installers can be found on PyPI. What's new: http://pandas.pydata.org/pandas-docs/stable/whatsnew.html $ git log v0.8.1..v0.9.0 --pretty=format:%aN | sort | uniq -c | sort -rn 178 Wes McKinney 77 Chang She 22 y-p 17 Wouter Overmeire 7 Skipper Seabold 5 tshauck 5 Spencer Lyon 5 Martin Blais 4 Paul Ivanov 4 Lars Buitinck 4 Dan Miller 2 John-Colvin 2 Christopher Whelan 1 Yaroslav Halchenko 1 Taavi Burns 1 Øystein S. Haaland 1 MinRK 1 Mark O'Leary 1 lenolib 1 Joshua Leahy 1 Johnny 1 Doug Coleman 1 Dieter Vandenbussche 1 Daniel Shapiro Happy data hacking! - Wes What is it ========== pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with relational, time series, or any other kind of labeled data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Links ===== Release Notes: http://github.com/pydata/pandas/blob/master/RELEASE.rst Documentation: http://pandas.pydata.org Installers: http://pypi.python.org/pypi/pandas Code Repository: http://github.com/pydata/pandas Mailing List: http://groups.google.com/group/pydata
FYI. Crysttian, vale a pena atualizar e verificar se há novas funcionalidades úteis para nós sudo pip install -U pandas abcs, ---------- Forwarded message ---------- From: Wes McKinney <wesmckinn@gmail.com> Date: Sun, Oct 7, 2012 at 10:14 PM Subject: [SciPy-User] ANN: pandas 0.9.0 released To: pystatsmodels@googlegroups.com, SciPy Users List <scipy-user@scipy.org> hi all, I'm pleased to announce the 0.9.0 release of pandas. This is a major release with several feature improvements, a very large number of bug- and corner case-fixes, and minor, but necessary API changes. Many issues that were preventing pandas 0.7.x users from upgrading to 0.8.x (due to numpy.datetime64 problems) have been fixed. I recommend that all users upgrade to it as soon as feasible. Thanks to all who contributed to this release, especially Chang She, Wouter Overmeire, and y-p. As always source archives and Windows installers can be found on PyPI. What's new: http://pandas.pydata.org/pandas-docs/stable/whatsnew.html $ git log v0.8.1..v0.9.0 --pretty=format:%aN | sort | uniq -c | sort -rn 178 Wes McKinney 77 Chang She 22 y-p 17 Wouter Overmeire 7 Skipper Seabold 5 tshauck 5 Spencer Lyon 5 Martin Blais 4 Paul Ivanov 4 Lars Buitinck 4 Dan Miller 2 John-Colvin 2 Christopher Whelan 1 Yaroslav Halchenko 1 Taavi Burns 1 Øystein S. Haaland 1 MinRK 1 Mark O'Leary 1 lenolib 1 Joshua Leahy 1 Johnny 1 Doug Coleman 1 Dieter Vandenbussche 1 Daniel Shapiro Happy data hacking! - Wes What is it ========== pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with relational, time series, or any other kind of labeled data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Links ===== Release Notes: http://github.com/pydata/pandas/blob/master/RELEASE.rst Documentation: http://pandas.pydata.org Installers: http://pypi.python.org/pypi/pandas Code Repository: http://github.com/pydata/pandas Mailing List: http://groups.google.com/group/pydata _______________________________________________ SciPy-User mailing list SciPy-User@scipy.org http://mail.scipy.org/mailman/listinfo/scipy-user -- Flávio Codeço Coelho ================ +55(21) 3799-5567 Professor Escola de Matemática Aplicada Fundação Getúlio Vargas Praia de Botafogo, 190 sala 312 Rio de Janeiro - RJ 22250-900 Brasil
FYI.
Crysttian, vale a pena atualizar e verificar se há novas funcionalidades úteis para nós
sudo pip install -U pandas
I would not do that. I recommend using the --no-deps option as well; otherwise pip will update all of pandas' dependencies, including numpy. Cheers, Andreas.
---------- Forwarded message ---------- From: Wes McKinney <wesmckinn@gmail.com> Date: Sun, Oct 7, 2012 at 10:14 PM Subject: [SciPy-User] ANN: pandas 0.9.0 released To: pystatsmodels@googlegroups.com, SciPy Users List <scipy-user@scipy.org>
hi all,
I'm pleased to announce the 0.9.0 release of pandas. This is a major release with several feature improvements, a very large number of bug- and corner case-fixes, and minor, but necessary API changes. Many issues that were preventing pandas 0.7.x users from upgrading to 0.8.x (due to numpy.datetime64 problems) have been fixed. I recommend that all users upgrade to it as soon as feasible.
Thanks to all who contributed to this release, especially Chang She, Wouter Overmeire, and y-p. As always source archives and Windows installers can be found on PyPI.
What's new: http://pandas.pydata.org/pandas-docs/stable/whatsnew.html
$ git log v0.8.1..v0.9.0 --pretty=format:%aN | sort | uniq -c | sort -rn 178 Wes McKinney 77 Chang She 22 y-p 17 Wouter Overmeire 7 Skipper Seabold 5 tshauck 5 Spencer Lyon 5 Martin Blais 4 Paul Ivanov 4 Lars Buitinck 4 Dan Miller 2 John-Colvin 2 Christopher Whelan 1 Yaroslav Halchenko 1 Taavi Burns 1 Øystein S. Haaland 1 MinRK 1 Mark O'Leary 1 lenolib 1 Joshua Leahy 1 Johnny 1 Doug Coleman 1 Dieter Vandenbussche 1 Daniel Shapiro
Happy data hacking!
- Wes
What is it ========== pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with relational, time series, or any other kind of labeled data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python.
Links ===== Release Notes: http://github.com/pydata/pandas/blob/master/RELEASE.rst Documentation: http://pandas.pydata.org Installers: http://pypi.python.org/pypi/pandas Code Repository: http://github.com/pydata/pandas Mailing List: http://groups.google.com/group/pydata _______________________________________________ SciPy-User mailing list SciPy-User@scipy.org http://mail.scipy.org/mailman/listinfo/scipy-user
participants (3)
-
Andreas Hilboll -
Flavio Coelho -
Wes McKinney