Update GitHub org from pydata to pandas-dev

.github/CONTRIBUTING.md

@@ -6,7 +6,7 @@ Where to start?
 
 All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.
 
-If you are simply looking to start working with the *pandas* codebase, navigate to the [GitHub "issues" tab](https://github.com/pydata/pandas/issues) and start looking through interesting issues. There are a number of issues listed under [Docs](https://github.com/pydata/pandas/issues?labels=Docs&sort=updated&state=open) and [Difficulty Novice](https://github.com/pydata/pandas/issues?q=is%3Aopen+is%3Aissue+label%3A%22Difficulty+Novice%22) where you could start out.
+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.
 
 Or maybe through using *pandas* you have an idea of you own or are looking for something in the documentation and thinking 'this can be improved'...you can do something about it!
 
@@ -49,7 +49,7 @@ Now that you have an issue you want to fix, enhancement to add, or documentation
 
 To the new user, working with Git is one of the more daunting aspects of contributing to *pandas*. It can very quickly become overwhelming, but sticking to the guidelines below will help keep the process straightforward and mostly trouble free. As always, if you are having difficulties please feel free to ask for help.
 
-The code is hosted on [GitHub](https://www.github.com/pydata/pandas). To contribute you will need to sign up for a [free GitHub account](https://github.com/signup/free). We use [Git](http://git-scm.com/) for version control to allow many people to work together on the project.
+The code is hosted on [GitHub](https://www.github.com/pandas-dev/pandas). To contribute you will need to sign up for a [free GitHub account](https://github.com/signup/free). We use [Git](http://git-scm.com/) for version control to allow many people to work together on the project.
 
 Some great resources for learning Git:
 
@@ -63,11 +63,11 @@ Some great resources for learning Git:
 
 ### Forking
 
-You will need your own fork to work on the code. Go to the [pandas project page](https://github.com/pydata/pandas) and hit the `Fork` button. You will want to clone your fork to your machine:
+You will need your own fork to work on the code. Go to the [pandas project page](https://github.com/pandas-dev/pandas) and hit the `Fork` button. You will want to clone your fork to your machine:
 
     git clone git@github.com:your-user-name/pandas.git pandas-yourname
     cd pandas-yourname
-    git remote add upstream git://github.com/pydata/pandas.git
+    git remote add upstream git://github.com/pandas-dev/pandas.git
 
 This creates the directory pandas-yourname and connects your repository to the upstream (main project) *pandas* repository.
 
@@ -268,7 +268,7 @@ and make these changes with:
 
     pep8radius master --diff --in-place
 
-Alternatively, use the [flake8](http://pypi.python.org/pypi/flake8) tool for checking the style of your code. Additional standards are outlined on the [code style wiki page](https://github.com/pydata/pandas/wiki/Code-Style-and-Conventions).
+Alternatively, use the [flake8](http://pypi.python.org/pypi/flake8) tool for checking the style of your code. Additional standards are outlined on the [code style wiki page](https://github.com/pandas-dev/pandas/wiki/Code-Style-and-Conventions).
 
 Please try to maintain backward compatibility. *pandas* has lots of users with lots of existing code, so don't break it if at all possible. If you think breakage is required, clearly state why as part of the pull request. Also, be careful when changing method signatures and add deprecation warnings where needed.
 
@@ -282,7 +282,7 @@ Like many packages, *pandas* uses the [Nose testing system](https://nose.readthe
 
 #### Writing tests
 
-All tests should go into the `tests` subdirectory of the specific package. This folder contains many current examples of tests, and we suggest looking to these for inspiration. If your test requires working with files or network connectivity, there is more information on the [testing page](https://github.com/pydata/pandas/wiki/Testing) of the wiki.
+All tests should go into the `tests` subdirectory of the specific package. This folder contains many current examples of tests, and we suggest looking to these for inspiration. If your test requires working with files or network connectivity, there is more information on the [testing page](https://github.com/pandas-dev/pandas/wiki/Testing) of the wiki.
 
 The `pandas.util.testing` module has many special `assert` functions that make it easier to make statements about whether Series or DataFrame objects are equivalent. The easiest way to verify that your code is correct is to explicitly construct the result you expect, then compare the actual result to the expected correct result:
 
@@ -378,7 +378,7 @@ This will check out the master revision and run the suite on both master and you
 
 You can run specific benchmarks using the `-r` flag, which takes a regular expression.
 
-See the [performance testing wiki](https://github.com/pydata/pandas/wiki/Performance-Testing) for information on how to write a benchmark.
+See the [performance testing wiki](https://github.com/pandas-dev/pandas/wiki/Performance-Testing) for information on how to write a benchmark.
 
 ### Documenting your code
 
@@ -390,7 +390,7 @@ If your code is an enhancement, it is most likely necessary to add usage example
 .. versionadded:: 0.17.0
 ```
 
-This will put the text *New in version 0.17.0* wherever you put the sphinx directive. This should also be put in the docstring when adding a new function or method ([example](https://github.com/pydata/pandas/blob/v0.16.2/pandas/core/generic.py#L1959)) or a new keyword argument ([example](https://github.com/pydata/pandas/blob/v0.16.2/pandas/core/frame.py#L1171)).
+This will put the text *New in version 0.17.0* wherever you put the sphinx directive. This should also be put in the docstring when adding a new function or method ([example](https://github.com/pandas-dev/pandas/blob/v0.16.2/pandas/core/generic.py#L1959)) or a new keyword argument ([example](https://github.com/pandas-dev/pandas/blob/v0.16.2/pandas/core/frame.py#L1171)).
 
 Contributing your changes to *pandas*
 -------------------------------------
@@ -466,8 +466,8 @@ If you added the upstream repository as described above you will see something l
 
     origin  git@github.com:yourname/pandas.git (fetch)
     origin  git@github.com:yourname/pandas.git (push)
-    upstream        git://github.com/pydata/pandas.git (fetch)
-    upstream        git://github.com/pydata/pandas.git (push)
+    upstream        git://github.com/pandas-dev/pandas.git (fetch)
+    upstream        git://github.com/pandas-dev/pandas.git (push)
 
 Now your code is on GitHub, but it is not yet a part of the *pandas* project. For that to happen, a pull request needs to be submitted on GitHub.
 

RELEASE.md

@@ -3,4 +3,4 @@ Release Notes
 
 The list of changes to pandas between each release can be found
 [here](http://pandas.pydata.org/pandas-docs/stable/whatsnew.html). For full
-details, see the commit logs at http://github.com/pydata/pandas.
+details, see the commit logs at http://github.com/pandas-dev/pandas.

asv_bench/asv.conf.json

@@ -21,7 +21,7 @@
     "environment_type": "conda",
 
     // the base URL to show a commit for the project.
-    "show_commit_url": "https://github.com/pydata/pandas/commit/",
+    "show_commit_url": "https://github.com/pandas-dev/pandas/commit/",
 
     // The Pythons you'd like to test against.  If not provided, defaults
     // to the current version of Python used to run `asv`.

doc/source/contributing.rst

@@ -27,7 +27,7 @@ about it!
 
 Feel free to ask questions on the `mailing list
 <https://groups.google.com/forum/?fromgroups#!forum/pydata>`_ or on `Gitter
-<https://gitter.im/pandas-dev/pandas>`_.
+<https://gitter.im/pydata/pandas>`_.
 
 Bug reports and enhancement requests
 ====================================

doc/source/html-styling.ipynb

@@ -6,9 +6,9 @@
    "source": [
     "*New in version 0.17.1*\n",
     "\n",
-    "<p style=\"color: red\">*Provisional: This is a new feature and still under development. We'll be adding features and possibly making breaking changes in future releases. We'd love to hear your [feedback](https://github.com/pydata/pandas/issues).*<p style=\"color: red\">\n",
+    "<p style=\"color: red\">*Provisional: This is a new feature and still under development. We'll be adding features and possibly making breaking changes in future releases. We'd love to hear your [feedback](https://github.com/pandas-dev/pandas/issues).*<p style=\"color: red\">\n",
     "\n",
-    "This document is written as a Jupyter Notebook, and can be viewed or downloaded [here](http://nbviewer.ipython.org/github/pydata/pandas/blob/master/doc/source/html-styling.ipynb).\n",
+    "This document is written as a Jupyter Notebook, and can be viewed or downloaded [here](http://nbviewer.ipython.org/github/pandas-dev/pandas/blob/master/doc/source/html-styling.ipynb).\n",
     "\n",
     "You can apply **conditional formatting**, the visual styling of a DataFrame\n",
     "depending on the data within, by using the ``DataFrame.style`` property.\n",

doc/source/index.rst.template

@@ -14,9 +14,9 @@ pandas: powerful Python data analysis toolkit
 
 **Binary Installers:** http://pypi.python.org/pypi/pandas
 
-**Source Repository:** http://github.com/pydata/pandas
+**Source Repository:** http://github.com/pandas-dev/pandas
 
-**Issues & Ideas:** https://github.com/pydata/pandas/issues
+**Issues & Ideas:** https://github.com/pandas-dev/pandas/issues
 
 **Q&A Support:** http://stackoverflow.com/questions/tagged/pandas
 

doc/source/remote_data.rst

@@ -13,7 +13,7 @@ DataReader
 
 The sub-package ``pandas.io.data`` is removed in favor of a separately
 installable `pandas-datareader package
-<https://github.com/pandas-dev/pandas-datareader>`_. This will allow the data
+<https://github.com/pydata/pandas-datareader>`_. This will allow the data
 modules to be independently updated to your pandas installation. The API for
 ``pandas-datareader v0.1.1`` is the same as in ``pandas v0.16.1``.
 (:issue:`8961`)

doc/source/whatsnew/v0.14.0.txt

@@ -630,9 +630,9 @@ There are prior version deprecations that are taking effect as of 0.14.0.
 - Remove ``unique`` keyword from :meth:`HDFStore.select_column` (:issue:`3256`)
 - Remove ``inferTimeRule`` keyword from :func:`Timestamp.offset` (:issue:`391`)
 - Remove ``name`` keyword from :func:`get_data_yahoo` and
-  :func:`get_data_google` ( `commit b921d1a <https://github.com/pydata/pandas/commit/b921d1a2>`__ )
+  :func:`get_data_google` ( `commit b921d1a <https://github.com/pandas-dev/pandas/commit/b921d1a2>`__ )
 - Remove ``offset`` keyword from :class:`DatetimeIndex` constructor
-  ( `commit 3136390 <https://github.com/pydata/pandas/commit/3136390>`__ )
+  ( `commit 3136390 <https://github.com/pandas-dev/pandas/commit/3136390>`__ )
 - Remove ``time_rule`` from several rolling-moment statistical functions, such
   as :func:`rolling_sum` (:issue:`1042`)
 - Removed neg ``-`` boolean operations on numpy arrays in favor of inv ``~``, as this is going to

doc/source/whatsnew/v0.17.1.txt

@@ -36,7 +36,7 @@ Conditional HTML Formatting
     We'll be adding features an  possibly making breaking changes in future
     releases. Feedback is welcome_.
 
-.. _welcome: https://github.com/pydata/pandas/issues/11610
+.. _welcome: https://github.com/pandas-dev/pandas/issues/11610
 
 We've added *experimental* support for conditional HTML formatting:
 the visual styling of a DataFrame based on the data.

doc/source/whatsnew/v0.4.x.txt

@@ -56,8 +56,8 @@ Performance Enhancements
 - Wrote fast time series merging / joining methods in Cython. Will be
   integrated later into DataFrame.join and related functions
 
-.. _ENH1b: https://github.com/pydata/pandas/commit/1ba56251f0013ff7cd8834e9486cef2b10098371
-.. _ENHdc: https://github.com/pydata/pandas/commit/dca3c5c5a6a3769ee01465baca04cfdfa66a4f76
-.. _ENHed: https://github.com/pydata/pandas/commit/edd9f1945fc010a57fa0ae3b3444d1fffe592591
-.. _ENH56: https://github.com/pydata/pandas/commit/56e0c9ffafac79ce262b55a6a13e1b10a88fbe93
+.. _ENH1b: https://github.com/pandas-dev/pandas/commit/1ba56251f0013ff7cd8834e9486cef2b10098371
+.. _ENHdc: https://github.com/pandas-dev/pandas/commit/dca3c5c5a6a3769ee01465baca04cfdfa66a4f76
+.. _ENHed: https://github.com/pandas-dev/pandas/commit/edd9f1945fc010a57fa0ae3b3444d1fffe592591
+.. _ENH56: https://github.com/pandas-dev/pandas/commit/56e0c9ffafac79ce262b55a6a13e1b10a88fbe93
 

doc/source/whatsnew/v0.5.0.txt

@@ -39,5 +39,5 @@ Performance Enhancements
 - VBENCH Significantly sped up conversion of nested dict into DataFrame (:issue:`212`)
 - VBENCH Significantly speed up DataFrame ``__repr__`` and ``count`` on large mixed-type DataFrame objects
 
-.. _ENH61: https://github.com/pydata/pandas/commit/6141961
-.. _ENH5c: https://github.com/pydata/pandas/commit/5ca6ff5d822ee4ddef1ec0d87b6d83d8b4bbd3eb
+.. _ENH61: https://github.com/pandas-dev/pandas/commit/6141961
+.. _ENH5c: https://github.com/pandas-dev/pandas/commit/5ca6ff5d822ee4ddef1ec0d87b6d83d8b4bbd3eb

pandas/io/data.py

@@ -1,6 +1,6 @@
 raise ImportError(
     "The pandas.io.data module is moved to a separate package "
     "(pandas-datareader). After installing the pandas-datareader package "
-    "(https://github.com/pandas-dev/pandas-datareader), you can change "
+    "(https://github.com/pydata/pandas-datareader), you can change "
     "the import ``from pandas.io import data, wb`` to "
     "``from pandas_datareader import data, wb``.")

pandas/io/wb.py

@@ -1,6 +1,6 @@
 raise ImportError(
     "The pandas.io.wb module is moved to a separate package "
     "(pandas-datareader). After installing the pandas-datareader package "
-    "(https://github.com/pandas-dev/pandas-datareader), you can change "
+    "(https://github.com/pydata/pandas-datareader), you can change "
     "the import ``from pandas.io import data, wb`` to "
     "``from pandas_datareader import data, wb``.")

pandas/tslib.pyx

@@ -1665,7 +1665,7 @@ cdef inline object _get_zone(object tz):
                     'implicitly by passing a string like "dateutil/Europe'
                     '/London" when you construct your pandas objects instead '
                     'of passing a timezone object. See '
-                    'https://github.com/pydata/pandas/pull/7362')
+                    'https://github.com/pandas-dev/pandas/pull/7362')
             return 'dateutil/' + tz._filename
         else:
             # tz is a pytz timezone or unknown.
@@ -4041,7 +4041,7 @@ cdef inline object _tz_cache_key(object tz):
                              'passing a string like "dateutil/Europe/London" '
                              'when you construct your pandas objects instead '
                              'of passing a timezone object. See '
-                             'https://github.com/pydata/pandas/pull/7362')
+                             'https://github.com/pandas-dev/pandas/pull/7362')
         return 'dateutil' + tz._filename
     else:
         return None