inexperienced users. The simplest way to install not only pandas, but Python and the most popular packages that make up the SciPy stack (IPython, NumPy, Matplotlib, ...) is with Anaconda, a cross-platform found here. 35 pandas: powerful Python data analysis toolkit, Release 0.25.0 A full list of the packages available as part of the Anaconda distribution can be found here. Another advantage to installing install well over one hundred packages and involves downloading the installer which is a few hundred megabytes in size. If you want to have more control on which packages, or have a limited internet bandwidth

inexperienced users. The simplest way to install not only pandas, but Python and the most popular packages that make up the SciPy stack (IPython, NumPy, Matplotlib, ...) is with Anaconda, a cross-platform software to be compiled. Installation instructions for Anaconda can be found here. A full list of the packages available as part of the Anaconda distribution can be found here. Another advantage to installing install well over one hundred packages and involves downloading the installer which is a few hundred megabytes in size. If you want to have more control on which packages, or have a limited internet bandwidth

inexperienced users. The simplest way to install not only pandas, but Python and the most popular packages that make up the SciPy stack (IPython, NumPy, Matplotlib, ...) is with Anaconda, a cross-platform found here. 59 pandas: powerful Python data analysis toolkit, Release 0.24.0 A full list of the packages available as part of the Anaconda distribution can be found here. Another advantage to installing install well over one hundred packages and involves downloading the installer which is a few hundred megabytes in size. If you want to have more control on which packages, or have a limited internet bandwidth

inexperienced users. The simplest way to install not only pandas, but Python and the most popular packages that make up the SciPy stack (IPython, NumPy, Matplotlib, ) is with Anaconda, a cross-platform (Linux software to be compiled. Installation instructions for Anaconda can be found here. A full list of the packages available as part of the Anaconda distribution can be found here. Another advantage to installing install well over one hundred packages and involves downloading the installer which is a few hundred megabytes in size. If you want to have more control on which packages, or have a limited internet bandwidth

a column-MultiIndexed DataFrame (GH16789, GH16825) • Fixed a pytest marker failing downstream packages’ tests suites (GH16680) 1.1.1.1 Conversion • Bug in pickle compat prior to the v0.20.x series public API’s. We are starting by exposing type introspection functions in pandas. api.types. More sub-packages and officially sanctioned API’s will be published in future versions of pandas (GH13147, GH13634) rplot, pandas.sandbox.qtpandas and pandas.rpy modules are deprecated. We refer users to external packages like seaborn, pandas-qt and rpy2 for similar or equivalent functionality, see here Check the API

• Removed the @slow decorator from pandas.util.testing, which caused issues for some downstream packages’ test suites. Use @pytest.mark.slow instead, which achieves the same thing (GH16850) • Moved definition a column-MultiIndexed DataFrame (GH16789, GH16825) • Fixed a pytest marker failing downstream packages’ tests suites (GH16680) 1.3.1.1 Conversion • Bug in pickle compat prior to the v0.20.x series public API’s. We are starting by exposing type introspection functions in pandas. api.types. More sub-packages and officially sanctioned API’s will be published in future versions of pandas (GH13147, GH13634)

we recommend to use over other series unless you are prepared to fix parts of the code. Released packages are available in PyPi, but should the latest code in the 2.2.x series be wanted it can be obtained org/lgautier/rpy2 cd rpy2 hg pull hg update version_2.2.x sudo python setup.py install Note: To use R packages with this interface, you will need to install them inside R yourself. At the moment it cannot install encyclopedic knowledge of R packages, feel free to suggest additional CRAN packages to add to this list. This is also here to offer a big of a translation guide for users of these R packages. 20.1 data.frame

public API’s. We are starting by exposing type introspection functions in pandas. api.types. More sub-packages and officially sanctioned API’s will be published in future versions of pandas (GH13147, GH13634) rplot, pandas.sandbox.qtpandas and pandas.rpy modules are deprecated. We refer users to external packages like seaborn, pandas-qt and rpy2 for similar or equivalent functionality, see here Check the API trellis plotting interface is deprecated and will be removed in a future version. We refer to external packages like seaborn for similar but more refined functionality (GH3445). The documentation includes some

http://bitbucket.org/lgautier/rpy2 cd rpy2 hg pull hg update sudo python setup.py install Note: To use R packages with this interface, you will need to install them inside R yourself. At the moment it cannot install encyclopedic knowledge of R packages, feel free to suggest additional CRAN packages to add to this list. This is also here to offer a big of a translation guide for users of these R packages. 20.1 data.frame

http://bitbucket.org/lgautier/rpy2 cd rpy2 hg pull hg update sudo python setup.py install Note: To use R packages with this interface, you will need to install them inside R yourself. At the moment it cannot install encyclopedic knowledge of R packages, feel free to suggest additional CRAN packages to add to this list. This is also here to offer a big of a translation guide for users of these R packages. 20.1 data.frame