analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way --compiler=mingw32 python setup.py install Note that you will not be able to import pandas if you open an interpreter in the source directory unless you build the C extensions in place: python setup.py support@lambdafoundry.com 4.4 Credits pandas development began at AQR Capital Management in April 2008. It was open-sourced at the end of 2009. AQR continued to provide resources for development through the end of

analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way --compiler=mingw32 python setup.py install Note that you will not be able to import pandas if you open an interpreter in the source directory unless you build the C extensions in place: python setup.py support@lambdafoundry.com 4.4 Credits pandas development began at AQR Capital Management in April 2008. It was open-sourced at the end of 2009. AQR continued to provide resources for development through the end of

analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way --compiler=mingw32 python setup.py install Note that you will not be able to import pandas if you open an interpreter in the source directory unless you build the C extensions in place: python setup.py support@lambdafoundry.com 4.4 Credits pandas development began at AQR Capital Management in April 2008. It was open-sourced at the end of 2009. AQR continued to provide resources for development through the end of

analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way r_idx_nlevels=2,c_idx_nlevels=4) In [22]: df.to_csv(’mi.csv’,tupleize_cols=False) In [23]: print open(’mi.csv’).read() C0,,C_l0_g0,C_l0_g1,C_l0_g2 C1,,C_l1_g0,C_l1_g1,C_l1_g2 C2,,C_l2_g0,C_l2_g1,C_l2_g2 decorator factory for decorators. (GH3910, GH3914) • Fixed testing issue where too many sockets where open thus leading to a connection reset issue (GH3982, GH3985, GH4028, GH4054) • Fixed failing tests

Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis install python3-pandas Ubuntu stable official Ubuntu reposi- tory sudo apt-get install python3-pandas Open- Suse stable OpenSuse Repository zypper in python3-pandas Fedora stable official Fedora reposi- analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis/manipulation tool available in any language. It is already well on its way toward

Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis install python3-pandas Ubuntu stable official Ubuntu reposi- tory sudo apt-get install python3-pandas Open- Suse stable OpenSuse Repository zypper in python3-pandas Fedora stable official Fedora reposi- analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis/manipulation tool available in any language. It is already well on its way toward

Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis install python3-pandas Ubuntu stable official Ubuntu reposi- tory sudo apt-get install python3-pandas Open- Suse stable OpenSuse Repository zypper in python3-pandas Fedora stable official Fedora reposi- analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis/manipulation tool available in any language. It is already well on its way toward

Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis install python3-pandas Ubuntu stable official Ubuntu reposi- tory sudo apt-get install python3-pandas Open- Suse stable OpenSuse Repository zypper in python3-pandas Fedora stable official Fedora reposi- analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis/manipulation tool available in any language. It is already well on its way toward

Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis install python3-pandas Ubuntu stable official Ubuntu reposi- tory sudo apt-get install python3-pandas Open- Suse stable OpenSuse Repository zypper in python3-pandas Fedora stable official Fedora reposi- analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis/manipulation tool available in any language. It is already well on its way toward

Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis engine=’fastparquet’ if the file did not already exist (GH28326) • Bug in read_hdf() closing stores that it didn’t open when Exceptions are raised (GH28699) • Bug in DataFrame.read_json() where using orient="index" would analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way