WEB: Adding new pandas website #28014
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| <!DOCTYPE html> | ||
| <html> | ||
| <head> | ||
| <title>pandas</title> | ||
| <link rel="stylesheet" | ||
| href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css" | ||
| integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm" | ||
| crossorigin="anonymous"> | ||
| {% for stylesheet in static.css %} | ||
| <link rel="stylesheet" | ||
| href="{{ base_url }}{{ stylesheet }}"> | ||
| {% endfor %} | ||
| </head> | ||
| <body> | ||
| <header> | ||
| <nav class="navbar navbar-expand-md navbar-dark fixed-top bg-dark"> | ||
| <button class="navbar-toggler" type="button" data-toggle="collapse" data-target="#nav-content" aria-controls="nav-content" aria-expanded="false" aria-label="Toggle navigation"> | ||
| <span class="navbar-toggler-icon"></span> | ||
| </button> | ||
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| <a class="navbar-brand" href="{{ base_url }}/"><img alt="" src="{{ base_url }}{{ static.logo }}"/></a> | ||
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There was a problem hiding this comment. this is not working at the moment (I think static.logo is not defined right now?) |
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| <div class="collapse navbar-collapse" id="nav-content"> | ||
| <ul class="navbar-nav"> | ||
| {% for item in navbar %} | ||
| {% if not item.has_subitems %} | ||
| <li class="nav-item"> | ||
| <a class="nav-link" href="{% if not item.target.startswith("http") %}{{ base_url }}{% endif %}{{ item.target }}">{{ item.name }}</a> | ||
| </li> | ||
| {% else %} | ||
| <li class="nav-item dropdown"> | ||
| <a class="nav-link dropdown-toggle" | ||
| data-toggle="dropdown" | ||
| id="{{ item.slug }}" | ||
| href="#" | ||
| role="button" | ||
| aria-haspopup="true" | ||
| aria-expanded="false">{{ item.name }}</a> | ||
| <div class="dropdown-menu" aria-labelledby="{{ item.slug }}"> | ||
| {% for subitem in item.target %} | ||
| <a class="dropdown-item" href="{% if not subitem.target.startswith("http") %}{{ base_url }}{% endif %}{{ subitem.target }}">{{ subitem.name }}</a> | ||
| {% endfor %} | ||
| </div> | ||
| </li> | ||
| {% endif %} | ||
| {% endfor %} | ||
| </ul> | ||
| </div> | ||
| </nav> | ||
| </header> | ||
| <main role="main"> | ||
| <div class="container"> | ||
| {% block body %}{% endblock %} | ||
| </div> | ||
| </main> | ||
| <footer class="container pt-4 pt-md-5 border-top"> | ||
| <p class="float-right"> | ||
| <a href="#">Back to top</a> | ||
| </p> | ||
| <p> | ||
| © 2009 - 2019, pandas team | ||
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| </p> | ||
| </footer> | ||
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| <script src="https://code.jquery.com/jquery-3.2.1.slim.min.js" | ||
| integrity="sha384-KJ3o2DKtIkvYIK3UENzmM7KCkRr/rE9/Qpg6aAZGJwFDMVNA/GpGFF93hXpG5KkN" | ||
| crossorigin="anonymous"></script> | ||
| <script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.12.9/umd/popper.min.js" | ||
| integrity="sha384-ApNbgh9B+Y1QKtv3Rn7W3mgPxhU9K/ScQsAP7hUibX39j7fakFPskvXusvfa0b4Q" | ||
| crossorigin="anonymous"></script> | ||
| <script src="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/js/bootstrap.min.js" | ||
| integrity="sha384-JZR6Spejh4U02d8jOt6vLEHfe/JQGiRRSQQxSfFWpi1MquVdAyjUar5+76PVCmYl" | ||
| crossorigin="anonymous"></script> | ||
| <script> | ||
| $(function () { | ||
| $('[data-toggle="tooltip"]').tooltip() | ||
|
There was a problem hiding this comment. Can you add a comment for what those functions are needed? |
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| }) | ||
| $(function () { | ||
| $('[data-toggle="popover"]').popover() | ||
| }) | ||
| </script> | ||
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There was a problem hiding this comment. To add to a todo list: add google analytics |
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| </body> | ||
| </html> | ||
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| {% extends "layout.html" %} | ||
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| {% block body %} | ||
| {% for post in blog.posts %} | ||
| <div class="card"> | ||
| <div class="card-body"> | ||
| <h3 class="card-title"><a href="{{post.link }}" target="_blank">{{ post.title }}</a></h3> | ||
| <h6 class="card-subtitle">Source: {{ post.feed }} | Author: {{ post.author }} | Published: {{ post.published.strftime("%b %d, %Y") }}</h6> | ||
| <div class="card-text">{{ post.summary }}</div> | ||
| <a class="card-link" href="{{post.link }}" target="_blank">Read</a> | ||
| </div> | ||
| </div> | ||
| {% endfor %} | ||
| {% endblock %} |
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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). | ||
| By the end of 2009 it had been [open sourced](http://en.wikipedia.org/wiki/Open_source), | ||
| and is actively supported today by a community of like-minded individuals around the world who | ||
| contribute their valuable time and energy to help make open source _pandas_ | ||
| 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). | ||
| 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 | ||
| - **2009**: _pandas_ becomes open source | ||
| - **2012**: First edition of _Python for Data Analysis_ is published | ||
| - **2015**: _pandas_ becomes a [NumFOCUS sponsored project](https://numfocus.org/sponsored-projects) | ||
| - **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 | ||
| integrated indexing; | ||
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| - Tools for **reading and writing data** between in-memory data structures and | ||
| different formats: CSV and text files, Microsoft Excel, SQL databases, and | ||
| the fast HDF5 format; | ||
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| - Intelligent **data alignment** and integrated handling of **missing data**: | ||
| gain automatic label-based alignment in computations and easily manipulate | ||
| 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** | ||
| of large data sets; | ||
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| - Columns can be inserted and deleted from data structures for **size | ||
| mutability**; | ||
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| - Aggregating or transforming data with a powerful **group by** engine | ||
| 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 | ||
| high-dimensional data in a lower-dimensional data structure; | ||
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| - **Time series**-functionality: date range generation and frequency | ||
| conversion, moving window statistics, moving window linear regressions, date | ||
| shifting and lagging. Even create domain-specific time offsets and join time | ||
| series without losing data; | ||
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| - Highly **optimized for performance**, with critical code paths written in | ||
| [Cython](http://www.cython.org/) or C. | ||
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| - Python with *pandas* is in use in a wide variety of **academic and | ||
| commercial** domains, including Finance, Neuroscience, Economics, | ||
| 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, | ||
| real world data analysis in Python. | ||
| Additionally, it has the broader goal of becoming the most powerful and flexible | ||
| 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 | ||
| - Free for users to use and modify | ||
| - Flexible | ||
| - Powerful | ||
| - Easy to use | ||
| - Fast | ||
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| ## Values | ||
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| Is in the core of _pandas_ to be respectful and welcoming with everybody, | ||
| users, contributors and the broader community. Regardless of level of experience, | ||
| gender, gender identity and expression, sexual orientation, disability, | ||
| personal appearance, body size, race, ethnicity, age, religion, or nationality. |
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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), | ||
| McKinney, Proceedings of the 9th Python in Science Conference, Volume 445, 2010. | ||
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| @inproceedings{mckinney2010data, | ||
| title={Data structures for statistical computing in python}, | ||
| author={Wes McKinney}, | ||
| booktitle={Proceedings of the 9th Python in Science Conference}, | ||
| volume={445}, | ||
| pages={51--56}, | ||
| year={2010}, | ||
| organization={Austin, TX} | ||
| } | ||
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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), | ||
| McKinney, Python for High Performance and Scientific Computing, Volume 14, 2011. | ||
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| @article{mckinney2011pandas, | ||
| title={pandas: a foundational Python library for data analysis and statistics}, | ||
| author={Wes McKinney}, | ||
| journal={Python for High Performance and Scientific Computing}, | ||
| volume={14}, | ||
| year={2011} | ||
| } | ||
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| ## Brand and logo | ||
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There was a problem hiding this comment. Once we have a new logo, this probably deserves it's own apge |
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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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|  | ||
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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 | ||
| - Do not distort the logo by changing its proportions | ||
| - Do not place text or other elements on top of the logo | ||
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| # Contributor Code of Conduct | ||
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| As contributors and maintainers of this project, and in the interest of | ||
| fostering an open and welcoming community, we pledge to respect all people who | ||
| contribute through reporting issues, posting feature requests, updating | ||
| 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 | ||
| experience for everyone, regardless of level of experience, gender, gender | ||
| identity and expression, sexual orientation, disability, personal appearance, | ||
| 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 | ||
| * Personal attacks | ||
| * Trolling or insulting/derogatory comments | ||
| * Public or private harassment | ||
| * Publishing other's private information, such as physical or electronic | ||
| addresses, without explicit permission | ||
| * Other unethical or unprofessional conduct | ||
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| Project maintainers have the right and responsibility to remove, edit, or | ||
| reject comments, commits, code, wiki edits, issues, and other contributions | ||
| that are not aligned to this Code of Conduct, or to ban temporarily or | ||
| permanently any contributor for other behaviors that they deem inappropriate, | ||
| threatening, offensive, or harmful. | ||
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| By adopting this Code of Conduct, project maintainers commit themselves to | ||
| fairly and consistently applying these principles to every aspect of managing | ||
| this project. Project maintainers who do not follow or enforce the Code of | ||
| 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 | ||
| 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 | ||
| reported issues. The working group is made up of pandas contributors and users. | ||
| Instances of abusive, harassing, or otherwise unacceptable behavior may be | ||
| reported by contacting the working group by e-mail ([email protected]). | ||
| Messages sent to this e-mail address will not be publicly visible but only to | ||
| the working group members. The working group currently includes | ||
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| <ul> | ||
| {% for person in maintainers.coc %} | ||
| <li>{{ person }}</li> | ||
| {% endfor %} | ||
| </ul> | ||
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| All complaints will be reviewed and investigated and will result in a response | ||
| that is deemed necessary and appropriate to the circumstances. Maintainers are | ||
| obligated to maintain confidentiality with regard to the reporter of an | ||
| incident. | ||
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| This Code of Conduct is adapted from the [Contributor Covenant][homepage], | ||
| version 1.3.0, available at | ||
| [http://contributor-covenant.org/version/1/3/0/][version], | ||
| and the [Swift Code of Conduct][swift]. | ||
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| [homepage]: http://contributor-covenant.org | ||
| [version]: http://contributor-covenant.org/version/1/3/0/ | ||
| [swift]: https://swift.org/community/#code-of-conduct | ||
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| ## Bug reports and enhancement requests | ||
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| Bug reports are an important part of making *pandas* more stable. Having | ||
| a complete bug report will allow others to reproduce the bug and provide | ||
| insight into fixing. See [this stackoverflow article](https://stackoverflow.com/help/mcve) | ||
| and [this blogpost](http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) | ||
| for tips on writing a good bug report. | ||
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| Trying the bug-producing code out on the *master* branch is often a | ||
| worthwhile exercise to confirm the bug still exists. It is also worth | ||
| searching existing bug reports and pull requests to see if the issue has | ||
| already been reported and/or fixed. | ||
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| Bug reports must: | ||
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| 1. Include a short, self-contained Python snippet reproducing the | ||
| problem. You can format the code nicely by using [GitHub Flavored | ||
| Markdown \<http://github.github.com/github-flavored-markdown/\>](): | ||
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| ```python | ||
| >>> from pandas import DataFrame | ||
| >>> df = DataFrame(...) | ||
| ... | ||
| ``` | ||
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| 2. Include the full version string of *pandas* and its dependencies. | ||
| You can use the built-in function: | ||
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| ```python | ||
| >>> import pandas as pd | ||
| >>> pd.show_versions() | ||
| ``` | ||
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| 3. Explain why the current behavior is wrong/not desired and what you | ||
| expect instead. | ||
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| The issue will then show up to the *pandas* community and be open to | ||
| comments/ideas from others. |
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