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WEB: Adding new pandas website (#28014)
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‎ci/code_checks.sh

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@@ -188,9 +188,9 @@ if [[ -z "$CHECK" || "$CHECK" == "patterns" ]]; then
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set -o pipefail
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if [[ "$AZURE" == "true" ]]; then
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# we exclude all c/cpp files as the c/cpp files of pandas code base are tested when Linting .c and .h files
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! grep -n '--exclude=*.'{svg,c,cpp,html} --exclude-dir=env -RI "\s$" * | awk -F ":" '{print "##vso[task.logissue type=error;sourcepath=" $1 ";linenumber=" $2 ";] Tailing whitespaces found: " $3}'
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! grep -n '--exclude=*.'{svg,c,cpp,html,js} --exclude-dir=env -RI "\s$" * | awk -F ":" '{print "##vso[task.logissue type=error;sourcepath=" $1 ";linenumber=" $2 ";] Tailing whitespaces found: " $3}'
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else
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! grep -n '--exclude=*.'{svg,c,cpp,html} --exclude-dir=env -RI "\s$" * | awk -F ":" '{print $1 ":" $2 ":Tailing whitespaces found: " $3}'
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! grep -n '--exclude=*.'{svg,c,cpp,html,js} --exclude-dir=env -RI "\s$" * | awk -F ":" '{print $1 ":" $2 ":Tailing whitespaces found: " $3}'
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fi
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RET=$(($RET + $?)) ; echo $MSG "DONE"
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fi

‎environment.yml

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- nbsphinx
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- pandoc
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# web (jinja2 is also needed, but it's also an optional pandas dependency)
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- markdown
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- feedparser
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- pyyaml
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- requests
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# testing
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- boto3
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- botocore>=1.11

‎requirements-dev.txt

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nbconvert>=5.4.1
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nbsphinx
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pandoc
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markdown
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feedparser
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pyyaml
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requests
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boto3
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botocore>=1.11
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hypothesis>=3.82

‎web/README.md

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Directory containing the pandas website (hosted at https://pandas.io).
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The website sources are in `web/pandas/`, which also include a `config.yml` file
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containing the settings to build the website. The website is generated with the
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command `./pandas_web.py pandas`. See `./pandas_web.py --help` and the header of
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the script for more information and options.
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After building the website, to navigate it, it is needed to access the web using
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an http server (a not open the local files with the browser, since the links and
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the image sources are absolute to where they are served from). The easiest way
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to run an http server locally is to run `python -m http.server` from the
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`web/build/` directory.

‎web/pandas/_templates/layout.html

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<!DOCTYPE html>
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<html>
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<head>
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<script type="text/javascript">
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var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-27880019-2']); _gaq.push(['_trackPageview']);
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(function() {
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var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
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ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
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var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
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})();
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</script>
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<title>pandas - Python Data Analysis Library</title>
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
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<link rel="stylesheet"
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href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css"
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integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm"
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crossorigin="anonymous">
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{% for stylesheet in static.css %}
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<link rel="stylesheet"
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href="{{ base_url }}{{ stylesheet }}">
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{% endfor %}
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</head>
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<body>
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<header>
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<nav class="navbar navbar-expand-md navbar-dark fixed-top bg-dark">
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<button class="navbar-toggler" type="button" data-toggle="collapse" data-target="#nav-content" aria-controls="nav-content" aria-expanded="false" aria-label="Toggle navigation">
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<span class="navbar-toggler-icon"></span>
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</button>
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{% if static.logo %}<a class="navbar-brand" href="{{ base_url }}/"><img alt="" src="{{ base_url }}{{ static.logo }}"/></a>{% endif %}
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<div class="collapse navbar-collapse" id="nav-content">
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<ul class="navbar-nav">
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{% for item in navbar %}
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{% if not item.has_subitems %}
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<li class="nav-item">
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<a class="nav-link" href="{% if not item.target.startswith("http") %}{{ base_url }}{% endif %}{{ item.target }}">{{ item.name }}</a>
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</li>
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{% else %}
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<li class="nav-item dropdown">
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<a class="nav-link dropdown-toggle"
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data-toggle="dropdown"
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id="{{ item.slug }}"
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href="#"
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role="button"
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aria-haspopup="true"
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aria-expanded="false">{{ item.name }}</a>
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<div class="dropdown-menu" aria-labelledby="{{ item.slug }}">
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{% for subitem in item.target %}
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<a class="dropdown-item" href="{% if not subitem.target.startswith("http") %}{{ base_url }}{% endif %}{{ subitem.target }}">{{ subitem.name }}</a>
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{% endfor %}
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</div>
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</li>
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{% endif %}
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{% endfor %}
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</ul>
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</div>
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</nav>
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</header>
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<main role="main">
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<div class="container">
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{% block body %}{% endblock %}
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</div>
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</main>
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<footer class="container pt-4 pt-md-5 border-top">
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<p class="float-right">
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<a href="#">Back to top</a>
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</p>
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<p>
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© 2009 - 2019, pandas team
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</p>
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</footer>
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<script src="https://code.jquery.com/jquery-3.2.1.slim.min.js"
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integrity="sha384-KJ3o2DKtIkvYIK3UENzmM7KCkRr/rE9/Qpg6aAZGJwFDMVNA/GpGFF93hXpG5KkN"
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crossorigin="anonymous"></script>
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<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.12.9/umd/popper.min.js"
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integrity="sha384-ApNbgh9B+Y1QKtv3Rn7W3mgPxhU9K/ScQsAP7hUibX39j7fakFPskvXusvfa0b4Q"
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crossorigin="anonymous"></script>
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<script src="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/js/bootstrap.min.js"
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integrity="sha384-JZR6Spejh4U02d8jOt6vLEHfe/JQGiRRSQQxSfFWpi1MquVdAyjUar5+76PVCmYl"
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crossorigin="anonymous"></script>
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</body>
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</html>

‎web/pandas/blog.html

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{% extends "layout.html" %}
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{% block body %}
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{% for post in blog.posts %}
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<div class="card">
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<div class="card-body">
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<h3 class="card-title"><a href="{{post.link }}" target="_blank">{{ post.title }}</a></h3>
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<h6 class="card-subtitle">Source: {{ post.feed }} | Author: {{ post.author }} | Published: {{ post.published.strftime("%b %d, %Y") }}</h6>
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<div class="card-text">{{ post.summary }}</div>
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<a class="card-link" href="{{post.link }}" target="_blank">Read</a>
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</div>
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</div>
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{% endfor %}
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{% endblock %}

‎web/pandas/community/about.md

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# About pandas
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## History of development
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In 2008, _pandas_ development began at [AQR Capital Management](http://www.aqr.com).
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By the end of 2009 it had been [open sourced](http://en.wikipedia.org/wiki/Open_source),
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and is actively supported today by a community of like-minded individuals around the world who
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contribute their valuable time and energy to help make open source _pandas_
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possible. Thank you to [all of our contributors](team.html).
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Since 2015, _pandas_ is a [NumFOCUS sponsored project](https://numfocus.org/sponsored-projects).
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This will help ensure the success of development of _pandas_ as a world-class open-source project.
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### Timeline
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- **2008**: Development of _pandas_ started
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- **2009**: _pandas_ becomes open source
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- **2012**: First edition of _Python for Data Analysis_ is published
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- **2015**: _pandas_ becomes a [NumFOCUS sponsored project](https://numfocus.org/sponsored-projects)
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- **2018**: First in-person core developer sprint
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## Library Highlights
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- A fast and efficient **DataFrame** object for data manipulation with
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integrated indexing;
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- Tools for **reading and writing data** between in-memory data structures and
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different formats: CSV and text files, Microsoft Excel, SQL databases, and
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the fast HDF5 format;
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- Intelligent **data alignment** and integrated handling of **missing data**:
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gain automatic label-based alignment in computations and easily manipulate
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messy data into an orderly form;
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- Flexible **reshaping** and pivoting of data sets;
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- Intelligent label-based **slicing**, **fancy indexing**, and **subsetting**
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of large data sets;
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- Columns can be inserted and deleted from data structures for **size
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mutability**;
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- Aggregating or transforming data with a powerful **group by** engine
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allowing split-apply-combine operations on data sets;
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- High performance **merging and joining** of data sets;
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- **Hierarchical axis indexing** provides an intuitive way of working with
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high-dimensional data in a lower-dimensional data structure;
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- **Time series**-functionality: date range generation and frequency
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conversion, moving window statistics, moving window linear regressions, date
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shifting and lagging. Even create domain-specific time offsets and join time
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series without losing data;
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- Highly **optimized for performance**, with critical code paths written in
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[Cython](http://www.cython.org/) or C.
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- Python with *pandas* is in use in a wide variety of **academic and
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commercial** domains, including Finance, Neuroscience, Economics,
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Statistics, Advertising, Web Analytics, and more.
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## Mission
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_pandas_ aims to be the fundamental high-level building block for doing practical,
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real world data analysis in Python.
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Additionally, it has the broader goal of becoming the most powerful and flexible
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open source data analysis / manipulation tool available in any language.
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## Vision
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A world where data analytics and manipulation software is:
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- Accessible to everyone
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- Free for users to use and modify
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- Flexible
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- Powerful
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- Easy to use
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- Fast
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## Values
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Is in the core of _pandas_ to be respectful and welcoming with everybody,
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users, contributors and the broader community. Regardless of level of experience,
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gender, gender identity and expression, sexual orientation, disability,
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personal appearance, body size, race, ethnicity, age, religion, or nationality.

‎web/pandas/community/citing.md

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# Citing pandas
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## Citing
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If you use _pandas_ for a scientific publication, we would appreciate citations to one of the following papers:
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- [Data structures for statistical computing in python](http://conference.scipy.org/proceedings/scipy2010/pdfs/mckinney.pdf),
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McKinney, Proceedings of the 9th Python in Science Conference, Volume 445, 2010.
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@inproceedings{mckinney2010data,
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title={Data structures for statistical computing in python},
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author={Wes McKinney},
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booktitle={Proceedings of the 9th Python in Science Conference},
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volume={445},
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pages={51--56},
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year={2010},
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organization={Austin, TX}
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}
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- [pandas: a foundational Python library for data analysis and statistics](https://www.scribd.com/document/71048089/pandas-a-Foundational-Python-Library-for-Data-Analysis-and-Statistics),
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McKinney, Python for High Performance and Scientific Computing, Volume 14, 2011.
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@article{mckinney2011pandas,
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title={pandas: a foundational Python library for data analysis and statistics},
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author={Wes McKinney},
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journal={Python for High Performance and Scientific Computing},
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volume={14},
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year={2011}
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}
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## Brand and logo
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When using the project name _pandas_, please use it in lower case, even at the beginning of a sentence.
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The official logo of _pandas_ is:
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![]({{ base_url }}/static/img/pandas.svg)
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You can download a `svg` version of the logo [here]({{ base_url }}/static/img/pandas.svg).
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When using the logo, please follow the next directives:
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- Leave enough margin around the logo
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- Do not distort the logo by changing its proportions
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- Do not place text or other elements on top of the logo

‎web/pandas/community/coc.md

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# Contributor Code of Conduct
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As contributors and maintainers of this project, and in the interest of
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fostering an open and welcoming community, we pledge to respect all people who
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contribute through reporting issues, posting feature requests, updating
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documentation, submitting pull requests or patches, and other activities.
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We are committed to making participation in this project a harassment-free
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experience for everyone, regardless of level of experience, gender, gender
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identity and expression, sexual orientation, disability, personal appearance,
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body size, race, ethnicity, age, religion, or nationality.
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Examples of unacceptable behavior by participants include:
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* The use of sexualized language or imagery
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* Personal attacks
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* Trolling or insulting/derogatory comments
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* Public or private harassment
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* Publishing other's private information, such as physical or electronic
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addresses, without explicit permission
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* Other unethical or unprofessional conduct
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Project maintainers have the right and responsibility to remove, edit, or
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reject comments, commits, code, wiki edits, issues, and other contributions
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that are not aligned to this Code of Conduct, or to ban temporarily or
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permanently any contributor for other behaviors that they deem inappropriate,
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threatening, offensive, or harmful.
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By adopting this Code of Conduct, project maintainers commit themselves to
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fairly and consistently applying these principles to every aspect of managing
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this project. Project maintainers who do not follow or enforce the Code of
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Conduct may be permanently removed from the project team.
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This Code of Conduct applies both within project spaces and in public spaces
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when an individual is representing the project or its community.
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A working group of community members is committed to promptly addressing any
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reported issues. The working group is made up of pandas contributors and users.
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Instances of abusive, harassing, or otherwise unacceptable behavior may be
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reported by contacting the working group by e-mail ([email protected]).
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Messages sent to this e-mail address will not be publicly visible but only to
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the working group members. The working group currently includes
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<ul>
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{% for person in maintainers.coc %}
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<li>{{ person }}</li>
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{% endfor %}
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</ul>
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All complaints will be reviewed and investigated and will result in a response
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that is deemed necessary and appropriate to the circumstances. Maintainers are
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obligated to maintain confidentiality with regard to the reporter of an
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incident.
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This Code of Conduct is adapted from the [Contributor Covenant][homepage],
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version 1.3.0, available at
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[http://contributor-covenant.org/version/1/3/0/][version],
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and the [Swift Code of Conduct][swift].
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[homepage]: http://contributor-covenant.org
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[version]: http://contributor-covenant.org/version/1/3/0/
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[swift]: https://swift.org/community/#code-of-conduct
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