should be sent to: 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 Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source

should be sent to: 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 Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source

should be sent to: 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 Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source

should be sent to: 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 Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2008-2011 AQR Capital Management, LLC All rights reserved. Redistribution and use in source and binary forms, with or without modification POSSIBILITY OF SUCH DAMAGE. About the Copyright Holders =========================== AQR Capital Management began pandas development in 2008. Development was led by Wes McKinney. AQR released the source

DataFrame.plot() now allow a backend keyword argument to allow changing between backends in one session (GH28619). • Bug in color validation incorrectly raising for non-color styles (GH29122). • Allow C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 pandas website page. 2.2.8 License BSD 3-Clause License Copyright (c) 2008-2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData ˓→Development Team All rights reserved. Redistribution

C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 analysis toolkit, Release 1.1.1 License BSD 3-Clause License Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData ˓→Development Team All rights reserved. Copyright (c) 2011-2020 Out[353]: File path: store.h5 In a current or later Python session, you can retrieve stored objects: # store.get('df') is an equivalent method In [354]: store['df']

C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 analysis toolkit, Release 1.1.0 License BSD 3-Clause License Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData ˓→Development Team All rights reserved. Copyright (c) 2011-2020 Out[353]: File path: store.h5 In a current or later Python session, you can retrieve stored objects: # store.get('df') is an equivalent method In [354]: store['df']

C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 found on pandas website page. License BSD 3-Clause License Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData ˓→Development Team All rights reserved. Copyright (c) 2011-2020 the caching implementation. Note that this caches to a temporary directory for the duration of the session only, but you can also specify a permanent store. Writing out data Writing to CSV format The Series

C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 found on pandas website page. License BSD 3-Clause License Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData ˓→Development Team All rights reserved. Copyright (c) 2011-2021 the caching implementation. Note that this caches to a temporary directory for the duration of the session only, but you can also specify a permanent store. Writing out data Writing to CSV format The Series

C:\Users\TP\Anaconda3\envs\py36\lib\site- ˓→packages\pandas ============================= test session starts ============================= platform win32 -- Python 3.6.2, pytest-3.6.0, py-1.4.34, pluggy-0 found on pandas website page. License BSD 3-Clause License Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData ˓→Development Team All rights reserved. Copyright (c) 2011-2020 the caching implementation. Note that this caches to a temporary directory for the duration of the session only, but you can also specify a permanent store. Writing out data Writing to CSV format The Series