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‎.github/ISSUE_TEMPLATE.md

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[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
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**Note**: We receive a lot of issues on our GitHub tracker, so it is very possible that your issue has been posted before. Please check first before submitting so that we do not have to handle and close duplicates!
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**Note**: Many problems can be resolved by simply upgrading `pandas` to the latest version. Before submitting, please check if that solution works for you. If possible, you may want to check if `master` addresses this issue, but that is not necessary.
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#### Expected Output
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#### Output of ``pd.show_versions()``
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<details>
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# Paste the output here pd.show_versions() here
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[paste the output of ``pd.show_versions()`` here below this line]
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</details>

‎.github/PULL_REQUEST_TEMPLATE.md

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- [ ] closes #xxxx
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- [ ] tests added / passed
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- [ ] passes ``git diff upstream/master --name-only -- '*.py' | flake8 --diff``
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- [ ] whatsnew entry
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- [ ] closes #xxxx
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- [ ] tests added / passed
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- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [ ] whatsnew entry

‎.pep8speaks.yml

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# File : .pep8speaks.yml
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scanner:
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diff_only: True # If True, errors caused by only the patch are shown
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pycodestyle:
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max-line-length: 79
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ignore: # Errors and warnings to ignore
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- E731
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- E402

‎.travis.yml

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language: generic
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env:
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- JOB="3.5_OSX" TEST_ARGS="--skip-slow --skip-network"
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- os: linux
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- dist: trusty
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env:
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- JOB="2.7_LOCALE" TEST_ARGS="--only-slow --skip-network" LOCALE_OVERRIDE="zh_CN.UTF-8"
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addons:
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apt:
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packages:
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- language-pack-zh-hans
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- os: linux
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- dist: trusty
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env:
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- JOB="2.7" TEST_ARGS="--skip-slow" LINT=true
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addons:
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apt:
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packages:
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- python-gtk2
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- os: linux
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- dist: trusty
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env:
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- JOB="3.5" TEST_ARGS="--skip-slow --skip-network" COVERAGE=true
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addons:
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apt:
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packages:
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- xsel
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- os: linux
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- dist: trusty
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env:
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- JOB="3.6" TEST_ARGS="--skip-slow --skip-network" PANDAS_TESTING_MODE="deprecate" CONDA_FORGE=true
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# In allow_failures
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- os: linux
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- dist: trusty
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env:
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- JOB="2.7_SLOW" TEST_ARGS="--only-slow --skip-network"
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# In allow_failures
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- os: linux
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- dist: trusty
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env:
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- JOB="2.7_BUILD_TEST" TEST_ARGS="--skip-slow" BUILD_TEST=true
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# In allow_failures
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- os: linux
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- dist: trusty
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env:
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- JOB="3.6_NUMPY_DEV" TEST_ARGS="--skip-slow --skip-network" PANDAS_TESTING_MODE="deprecate"
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# In allow_failures
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- os: linux
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- dist: trusty
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env:
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- JOB="3.5_DOC" DOC=true
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- JOB="3.6_DOC" DOC=true
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addons:
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apt:
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packages:
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- xsel
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allow_failures:
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- os: linux
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- dist: trusty
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env:
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- JOB="2.7_SLOW" TEST_ARGS="--only-slow --skip-network"
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- os: linux
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- dist: trusty
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env:
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- JOB="2.7_BUILD_TEST" TEST_ARGS="--skip-slow" BUILD_TEST=true
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- os: linux
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- dist: trusty
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env:
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- JOB="3.6_NUMPY_DEV" TEST_ARGS="--skip-slow --skip-network" PANDAS_TESTING_MODE="deprecate"
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- os: linux
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- dist: trusty
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env:
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- JOB="3.5_DOC" DOC=true
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- JOB="3.6_DOC" DOC=true
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before_install:
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- echo "before_install"

‎AUTHORS.md

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About the Copyright Holders
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===========================
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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
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led by Wes McKinney. AQR released the source under this license in 2009.
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* Copyright (c) 2011-2012, Lambda Foundry, Inc.
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Wes is now an employee of Lambda Foundry, and remains the pandas project
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lead.
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* Copyright (c) 2011-2012, PyData Development Team
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The PyData Development Team is the collection of developers of the PyData
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project. This includes all of the PyData sub-projects, including pandas. The
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core team that coordinates development on GitHub can be found here:
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http://github.com/pydata.
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Full credits for pandas contributors can be found in the documentation.
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Our Copyright Policy
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====================
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PyData uses a shared copyright model. Each contributor maintains copyright
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over their contributions to PyData. However, it is important to note that
26+
these contributions are typically only changes to the repositories. Thus,
27+
the PyData source code, in its entirety, is not the copyright of any single
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person or institution. Instead, it is the collective copyright of the
29+
entire PyData Development Team. If individual contributors want to maintain
30+
a record of what changes/contributions they have specific copyright on,
31+
they should indicate their copyright in the commit message of the change
32+
when they commit the change to one of the PyData repositories.
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With this in mind, the following banner should be used in any source code
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file to indicate the copyright and license terms:
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37+
```
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#-----------------------------------------------------------------------------
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# Copyright (c) 2012, PyData Development Team
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# All rights reserved.
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#
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# Distributed under the terms of the BSD Simplified License.
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#
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# The full license is in the LICENSE file, distributed with this software.
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#-----------------------------------------------------------------------------
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```
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Other licenses can be found in the LICENSES directory.
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License
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=======
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pandas is distributed under a 3-clause ("Simplified" or "New") BSD
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license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have
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BSD-compatible licenses, are included. Their licenses follow the pandas
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license.
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‎LICENSE

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1-
=======
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License
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=======
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BSD 3-Clause License
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pandas is distributed under a 3-clause ("Simplified" or "New") BSD
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license. Parts of NumPy, SciPy, numpydoc, bottleneck, which all have
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BSD-compatible licenses, are included. Their licenses follow the pandas
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license.
9-
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pandas license
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==============
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Copyright (c) 2011-2012, Lambda Foundry, Inc. and PyData Development Team
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All rights reserved.
15-
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Copyright (c) 2008-2011 AQR Capital Management, LLC
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Copyright (c) 2008-2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are
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met:
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* Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
25-
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* Redistributions in binary form must reproduce the above
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copyright notice, this list of conditions and the following
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disclaimer in the documentation and/or other materials provided
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with the distribution.
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* Neither the name of the copyright holder nor the names of any
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contributors may be used to endorse or promote products derived
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from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDER AND CONTRIBUTORS
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"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
37-
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
38-
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
39-
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
40-
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
41-
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
42-
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
43-
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
44-
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
7+
modification, are permitted provided that the following conditions are met:
8+
9+
* Redistributions of source code must retain the above copyright notice, this
10+
list of conditions and the following disclaimer.
11+
12+
* Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
14+
and/or other materials provided with the distribution.
15+
16+
* Neither the name of the copyright holder nor the names of its
17+
contributors may be used to endorse or promote products derived from
18+
this software without specific prior written permission.
19+
20+
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
21+
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
22+
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
23+
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
24+
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
25+
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
26+
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
27+
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
28+
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
46-
47-
About the Copyright Holders
48-
===========================
49-
50-
AQR Capital Management began pandas development in 2008. Development was
51-
led by Wes McKinney. AQR released the source under this license in 2009.
52-
Wes is now an employee of Lambda Foundry, and remains the pandas project
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lead.
54-
55-
The PyData Development Team is the collection of developers of the PyData
56-
project. This includes all of the PyData sub-projects, including pandas. The
57-
core team that coordinates development on GitHub can be found here:
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http://github.com/pydata.
59-
60-
Full credits for pandas contributors can be found in the documentation.
61-
62-
Our Copyright Policy
63-
====================
64-
65-
PyData uses a shared copyright model. Each contributor maintains copyright
66-
over their contributions to PyData. However, it is important to note that
67-
these contributions are typically only changes to the repositories. Thus,
68-
the PyData source code, in its entirety, is not the copyright of any single
69-
person or institution. Instead, it is the collective copyright of the
70-
entire PyData Development Team. If individual contributors want to maintain
71-
a record of what changes/contributions they have specific copyright on,
72-
they should indicate their copyright in the commit message of the change
73-
when they commit the change to one of the PyData repositories.
74-
75-
With this in mind, the following banner should be used in any source code
76-
file to indicate the copyright and license terms:
77-
78-
#-----------------------------------------------------------------------------
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# Copyright (c) 2012, PyData Development Team
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# All rights reserved.
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#
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# Distributed under the terms of the BSD Simplified License.
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#
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# The full license is in the LICENSE file, distributed with this software.
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#-----------------------------------------------------------------------------
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Other licenses can be found in the LICENSES directory.

‎README.md

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<tr>
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<td>Conda</td>
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<td>
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<a href="http://pandas.pydata.org">
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<a href="https://pandas.pydata.org">
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<img src="http://pubbadges.s3-website-us-east-1.amazonaws.com/pkgs-downloads-pandas.png" alt="conda default downloads" />
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</a>
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</td>
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</tr>
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<tr>
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<td>Conda-forge</td>
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<td>
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<a href="http://pandas.pydata.org">
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<a href="https://pandas.pydata.org">
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<img src="https://anaconda.org/conda-forge/pandas/badges/downloads.svg" alt="conda-forge downloads" />
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</a>
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</td>
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moving window linear regressions, date shifting and lagging, etc.
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[missing-data]: http://pandas.pydata.org/pandas-docs/stable/missing_data.html#working-with-missing-data
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[insertion-deletion]: http://pandas.pydata.org/pandas-docs/stable/dsintro.html#column-selection-addition-deletion
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[alignment]: http://pandas.pydata.org/pandas-docs/stable/dsintro.html?highlight=alignment#intro-to-data-structures
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[groupby]: http://pandas.pydata.org/pandas-docs/stable/groupby.html#group-by-split-apply-combine
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[conversion]: http://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe
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[slicing]: http://pandas.pydata.org/pandas-docs/stable/indexing.html#slicing-ranges
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[fancy-indexing]: http://pandas.pydata.org/pandas-docs/stable/indexing.html#advanced-indexing-with-ix
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[subsetting]: http://pandas.pydata.org/pandas-docs/stable/indexing.html#boolean-indexing
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[merging]: http://pandas.pydata.org/pandas-docs/stable/merging.html#database-style-dataframe-joining-merging
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[joining]: http://pandas.pydata.org/pandas-docs/stable/merging.html#joining-on-index
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[reshape]: http://pandas.pydata.org/pandas-docs/stable/reshaping.html#reshaping-and-pivot-tables
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[pivot-table]: http://pandas.pydata.org/pandas-docs/stable/reshaping.html#pivot-tables-and-cross-tabulations
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[mi]: http://pandas.pydata.org/pandas-docs/stable/indexing.html#hierarchical-indexing-multiindex
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[flat-files]: http://pandas.pydata.org/pandas-docs/stable/io.html#csv-text-files
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[excel]: http://pandas.pydata.org/pandas-docs/stable/io.html#excel-files
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[db]: http://pandas.pydata.org/pandas-docs/stable/io.html#sql-queries
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[hdfstore]: http://pandas.pydata.org/pandas-docs/stable/io.html#hdf5-pytables
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[timeseries]: http://pandas.pydata.org/pandas-docs/stable/timeseries.html#time-series-date-functionality
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[missing-data]: https://pandas.pydata.org/pandas-docs/stable/missing_data.html#working-with-missing-data
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[insertion-deletion]: https://pandas.pydata.org/pandas-docs/stable/dsintro.html#column-selection-addition-deletion
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[alignment]: https://pandas.pydata.org/pandas-docs/stable/dsintro.html?highlight=alignment#intro-to-data-structures
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[groupby]: https://pandas.pydata.org/pandas-docs/stable/groupby.html#group-by-split-apply-combine
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[conversion]: https://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe
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[slicing]: https://pandas.pydata.org/pandas-docs/stable/indexing.html#slicing-ranges
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[fancy-indexing]: https://pandas.pydata.org/pandas-docs/stable/indexing.html#advanced-indexing-with-ix
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[subsetting]: https://pandas.pydata.org/pandas-docs/stable/indexing.html#boolean-indexing
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[merging]: https://pandas.pydata.org/pandas-docs/stable/merging.html#database-style-dataframe-joining-merging
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[joining]: https://pandas.pydata.org/pandas-docs/stable/merging.html#joining-on-index
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[reshape]: https://pandas.pydata.org/pandas-docs/stable/reshaping.html#reshaping-and-pivot-tables
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[pivot-table]: https://pandas.pydata.org/pandas-docs/stable/reshaping.html#pivot-tables-and-cross-tabulations
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[mi]: https://pandas.pydata.org/pandas-docs/stable/indexing.html#hierarchical-indexing-multiindex
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[flat-files]: https://pandas.pydata.org/pandas-docs/stable/io.html#csv-text-files
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[excel]: https://pandas.pydata.org/pandas-docs/stable/io.html#excel-files
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[db]: https://pandas.pydata.org/pandas-docs/stable/io.html#sql-queries
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[hdfstore]: https://pandas.pydata.org/pandas-docs/stable/io.html#hdf5-pytables
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[timeseries]: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#time-series-date-functionality
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## Where to get it
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The source code is currently hosted on GitHub at:
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http://github.com/pandas-dev/pandas
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https://github.com/pandas-dev/pandas
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Binary installers for the latest released version are available at the [Python
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package index](http://pypi.python.org/pypi/pandas/) and on conda.
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package index](https://pypi.python.org/pypi/pandas) and on conda.
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```sh
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# conda
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## Dependencies
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- [NumPy](http://www.numpy.org): 1.7.0 or higher
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- [python-dateutil](http://labix.org/python-dateutil): 1.5 or higher
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- [pytz](http://pytz.sourceforge.net)
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- [python-dateutil](https://labix.org/python-dateutil): 1.5 or higher
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- [pytz](https://pythonhosted.org/pytz)
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- Needed for time zone support with ``pandas.date_range``
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See the [full installation instructions](http://pandas.pydata.org/pandas-docs/stable/install.html#dependencies)
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See the [full installation instructions](https://pandas.pydata.org/pandas-docs/stable/install.html#dependencies)
169169
for recommended and optional dependencies.
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## Installation from sources
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pip install -e .
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```
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See the full instructions for [installing from source](http://pandas.pydata.org/pandas-docs/stable/install.html#installing-from-source).
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See the full instructions for [installing from source](https://pandas.pydata.org/pandas-docs/stable/install.html#installing-from-source).
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## License
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BSD
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[BSD 3](LICENSE)
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## Documentation
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The official documentation is hosted on PyData.org: http://pandas.pydata.org/pandas-docs/stable/
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The official documentation is hosted on PyData.org: https://pandas.pydata.org/pandas-docs/stable
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The Sphinx documentation should provide a good starting point for learning how
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to use the library. Expect the docs to continue to expand as time goes on.
@@ -223,7 +223,7 @@ Most development discussion is taking place on github in this repo. Further, the
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## Contributing to pandas
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All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.
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A detailed overview on how to contribute can be found in the **[contributing guide.](http://pandas.pydata.org/pandas-docs/stable/contributing.html)**
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A detailed overview on how to contribute can be found in the **[contributing guide.](https://pandas.pydata.org/pandas-docs/stable/contributing.html)**
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If you are simply looking to start working with the pandas codebase, navigate to the [GitHub “issues” tab](https://github.com/pandas-dev/pandas/issues) and start looking through interesting issues. There are a number of issues listed under [Docs](https://github.com/pandas-dev/pandas/issues?labels=Docs&sort=updated&state=open) and [Difficulty Novice](https://github.com/pandas-dev/pandas/issues?q=is%3Aopen+is%3Aissue+label%3A%22Difficulty+Novice%22) where you could start out.
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