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Version 0.22.0 * tag 'v0.22.0': (777 commits) RLS: v0.22.0 DOC: Fix min_count docstring (pandas-dev#19005) DOC: More 0.22.0 updates (pandas-dev#19002) TST: Remove pow test in expressions COMPAT: Avoid td.skip decorator DOC: 0.22.0 release docs (pandas-dev#18983) DOC: Include 0.22.0 whatsnew Breaking changes for sum / prod of empty / all-NA (pandas-dev#18921) ENH: Added a min_count keyword to stat funcs (pandas-dev#18876) RLS: v0.21.1 DOC: Add date to whatsnew (pandas-dev#18740) DOC: Include 0.21.1 whatsnew DOC: Update relase notes (pandas-dev#18739) CFG: Ignore W503 DOC: fix options table (pandas-dev#18730) ENH: support non default indexes in writing to Parquet (pandas-dev#18629) BUG: Fix to_latex with longtable (pandas-dev#17959) (pandas-dev#17960) Parquet: Add error message for no engine found (pandas-dev#18717) BUG: Categorical data fails to load from hdf when all columns are NaN (pandas-dev#18652) DOC: clean-up whatsnew file for 0.21.1 (pandas-dev#18690) ...
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- [ ] closes #xxxx | ||
- [ ] tests added / passed | ||
- [ ] passes ``git diff upstream/master --name-only -- '*.py' | flake8 --diff`` (On Windows, ``git diff upstream/master -u -- "*.py" | flake8 --diff`` might work as an alternative.) | ||
- [ ] whatsnew entry | ||
- [ ] closes #xxxx | ||
- [ ] tests added / passed | ||
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` | ||
- [ ] whatsnew entry |
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# File : .pep8speaks.yml | ||
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scanner: | ||
diff_only: True # If True, errors caused by only the patch are shown | ||
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pycodestyle: | ||
max-line-length: 79 | ||
ignore: # Errors and warnings to ignore | ||
- E731 | ||
- E402 |
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About the Copyright Holders | ||
=========================== | ||
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* Copyright (c) 2008-2011 AQR Capital Management, LLC | ||
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AQR Capital Management began pandas development in 2008. Development was | ||
led by Wes McKinney. AQR released the source under this license in 2009. | ||
* Copyright (c) 2011-2012, Lambda Foundry, Inc. | ||
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Wes is now an employee of Lambda Foundry, and remains the pandas project | ||
lead. | ||
* Copyright (c) 2011-2012, PyData Development Team | ||
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||
The PyData Development Team is the collection of developers of the PyData | ||
project. This includes all of the PyData sub-projects, including pandas. The | ||
core team that coordinates development on GitHub can be found here: | ||
http://github.com/pydata. | ||
|
||
Full credits for pandas contributors can be found in the documentation. | ||
|
||
Our Copyright Policy | ||
==================== | ||
|
||
PyData uses a shared copyright model. Each contributor maintains copyright | ||
over their contributions to PyData. However, it is important to note that | ||
these contributions are typically only changes to the repositories. Thus, | ||
the PyData source code, in its entirety, is not the copyright of any single | ||
person or institution. Instead, it is the collective copyright of the | ||
entire PyData Development Team. If individual contributors want to maintain | ||
a record of what changes/contributions they have specific copyright on, | ||
they should indicate their copyright in the commit message of the change | ||
when they commit the change to one of the PyData repositories. | ||
|
||
With this in mind, the following banner should be used in any source code | ||
file to indicate the copyright and license terms: | ||
|
||
``` | ||
#----------------------------------------------------------------------------- | ||
# Copyright (c) 2012, PyData Development Team | ||
# All rights reserved. | ||
# | ||
# Distributed under the terms of the BSD Simplified License. | ||
# | ||
# The full license is in the LICENSE file, distributed with this software. | ||
#----------------------------------------------------------------------------- | ||
``` | ||
|
||
Other licenses can be found in the LICENSES directory. | ||
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||
License | ||
======= | ||
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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. | ||
|
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======= | ||
License | ||
======= | ||
BSD 3-Clause 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. | ||
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||
pandas license | ||
============== | ||
|
||
Copyright (c) 2011-2012, Lambda Foundry, Inc. and PyData Development Team | ||
All rights reserved. | ||
|
||
Copyright (c) 2008-2011 AQR Capital Management, LLC | ||
Copyright (c) 2008-2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team | ||
All rights reserved. | ||
|
||
Redistribution and use in source and binary forms, with or without | ||
modification, are permitted provided that the following conditions are | ||
met: | ||
|
||
* Redistributions of source code must retain the above copyright | ||
notice, this list of conditions and the following disclaimer. | ||
|
||
* Redistributions in binary form must reproduce the above | ||
copyright notice, this list of conditions and the following | ||
disclaimer in the documentation and/or other materials provided | ||
with the distribution. | ||
|
||
* Neither the name of the copyright holder nor the names of any | ||
contributors may be used to endorse or promote products derived | ||
from this software without specific prior written permission. | ||
|
||
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDER AND CONTRIBUTORS | ||
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT | ||
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR | ||
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT | ||
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, | ||
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT | ||
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, | ||
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY | ||
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT | ||
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | ||
modification, are permitted provided that the following conditions are met: | ||
|
||
* Redistributions of source code must retain the above copyright notice, this | ||
list of conditions and the following disclaimer. | ||
|
||
* Redistributions in binary form must reproduce the above copyright notice, | ||
this list of conditions and the following disclaimer in the documentation | ||
and/or other materials provided with the distribution. | ||
|
||
* Neither the name of the copyright holder nor the names of its | ||
contributors may be used to endorse or promote products derived from | ||
this software without specific prior written permission. | ||
|
||
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | ||
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | ||
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE | ||
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE | ||
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL | ||
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR | ||
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER | ||
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, | ||
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | ||
OF THIS SOFTWARE, EVEN IF ADVISED OF THE 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 under this license in 2009. | ||
Wes is now an employee of Lambda Foundry, and remains the pandas project | ||
lead. | ||
|
||
The PyData Development Team is the collection of developers of the PyData | ||
project. This includes all of the PyData sub-projects, including pandas. The | ||
core team that coordinates development on GitHub can be found here: | ||
http://github.com/pydata. | ||
|
||
Full credits for pandas contributors can be found in the documentation. | ||
|
||
Our Copyright Policy | ||
==================== | ||
|
||
PyData uses a shared copyright model. Each contributor maintains copyright | ||
over their contributions to PyData. However, it is important to note that | ||
these contributions are typically only changes to the repositories. Thus, | ||
the PyData source code, in its entirety, is not the copyright of any single | ||
person or institution. Instead, it is the collective copyright of the | ||
entire PyData Development Team. If individual contributors want to maintain | ||
a record of what changes/contributions they have specific copyright on, | ||
they should indicate their copyright in the commit message of the change | ||
when they commit the change to one of the PyData repositories. | ||
|
||
With this in mind, the following banner should be used in any source code | ||
file to indicate the copyright and license terms: | ||
|
||
#----------------------------------------------------------------------------- | ||
# Copyright (c) 2012, PyData Development Team | ||
# All rights reserved. | ||
# | ||
# Distributed under the terms of the BSD Simplified License. | ||
# | ||
# The full license is in the LICENSE file, distributed with this software. | ||
#----------------------------------------------------------------------------- | ||
|
||
Other licenses can be found in the LICENSES directory. |
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