. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 4.6 License . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . be found on Github. If you’re interested in contributing, please visit the project website. 4.6 License 20 Chapter 4. Package overview pandas: powerful Python data analysis toolkit, Release 0.7.1 = pandas development in 2008. Development was led by Wes McKinney. AQR released the source under this license in 2009. Wes is now an employee of Lambda Foundry, and remains the pandas project lead. The PyData

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 4.6 License . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . be found on Github. If you’re interested in contributing, please visit the project website. 4.6 License 20 Chapter 4. Package overview pandas: powerful Python data analysis toolkit, Release 0.7.2 = pandas development in 2008. Development was led by Wes McKinney. AQR released the source under this license in 2009. Wes is now an employee of Lambda Foundry, and remains the pandas project lead. The PyData

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 4.6 License . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . be found on Github. If you’re interested in contributing, please visit the project website. 4.6 License 24 Chapter 4. Package overview pandas: powerful Python data analysis toolkit, Release 0.7.3 = pandas development in 2008. Development was led by Wes McKinney. AQR released the source under this license in 2009. Wes is now an employee of Lambda Foundry, and remains the pandas project lead. The PyData

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 i 4.6 License . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . please visit the project website. 4.6 License 78 Chapter 4. Package overview pandas: powerful Python data analysis toolkit, Release 0.12.0 ======= License ======= pandas is distributed under a 3-clause ("Simplified" or "New") BSD license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have BSD-compatible licenses, are included. Their licenses follow the pandas license. pandas license ============== Copyright

information about current institutional partners can be found on pandas website page. 3.1.8 License BSD 3-Clause License Copyright (c) 2008-2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData 2000-01-03 0.799684 1.000000 1.000000 foo cool 2000-01-04 0.131478 0.100995 -0.764260 foo cool # getting creative In [445]: store.select('df_dc', 'B > 0 & C > 0 & string == foo') Out[445]: A B C string string2 terms of GroupBy operations (though cant be guaranteed to be the most efficient). You can get quite creative with the label mapping functions. GroupBy sorting By default the group keys are sorted during

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 4.6 License . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . please visit the project website. 4.6 License 110 Chapter 4. Package overview pandas: powerful Python data analysis toolkit, Release 0.13.1 ======= License ======= pandas is distributed under a 3-clause ("Simplified" or "New") BSD license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have BSD-compatible licenses, are included. Their licenses follow the pandas license. pandas license ============== Copyright

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 4.6 License . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . please visit the project website. 4.6 License 138 Chapter 4. Package overview pandas: powerful Python data analysis toolkit, Release 0.14.0 ======= License ======= pandas is distributed under a 3-clause ("Simplified" or "New") BSD license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have BSD-compatible licenses, are included. Their licenses follow the pandas license. pandas license ============== Copyright

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 396 4.6 License . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . on Github. If you’re interested in contributing, please visit the project website. 4.6 License ======= License ======= pandas is distributed under a 3-clause ("Simplified" or "New") BSD 396 Chapter Release 0.20.3 license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have BSD-compatible licenses, are included. Their licenses follow the pandas license. pandas license ============== Copyright

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 394 4.6 License . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . on Github. If you’re interested in contributing, please visit the project website. 4.6 License ======= License ======= pandas is distributed under a 3-clause ("Simplified" or "New") BSD 394 Chapter Release 0.20.2 license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have BSD-compatible licenses, are included. Their licenses follow the pandas license. pandas license ============== Copyright

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184 4.6 License . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . please visit the project website. 4.6 License 184 Chapter 4. Package overview pandas: powerful Python data analysis toolkit, Release 0.15.2 ======= License ======= pandas is distributed under a 3-clause ("Simplified" or "New") BSD license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have BSD-compatible licenses, are included. Their licenses follow the pandas license. pandas license ============== Copyright