update docs for MPL org

Author: phobson

docs/index.rst

@@ -7,13 +7,13 @@
 mpl-probscale: Real probability scales for matplotlib
 =====================================================
 
-.. image:: https://travis-ci.org/phobson/watershed.svg?branch=master
-    :target: https://travis-ci.org/phobson/watershed
+.. image:: https://travis-ci.org/matplotlib/mpl-probscale.svg?branch=master
+    :target: https://travis-ci.org/matplotlib/mpl-probscale
 
-.. image:: https://coveralls.io/repos/phobson/mpl-probscale/badge.svg?branch=master&service=github
-  :target: https://coveralls.io/github/phobson/mpl-probscale?branch=master
+.. image:: https://coveralls.io/repos/matplotlib/mpl-probscale/badge.svg?branch=master&service=github
+  :target: https://coveralls.io/github/matplotlib/mpl-probscale?branch=master
 
-https://github.com/phobson/mpl-probscale
+https://github.com/matplotlib/mpl-probscale
 
 Installation
 ------------
@@ -34,7 +34,7 @@ Development builds
 
 Development builds are available through my conda channel:
 
-``conda install mpl-probscale --channel=phobson``
+``conda install mpl-probscale --channel=conda-forge``
 
 
 Quickstart

docs/installation.rst

@@ -32,13 +32,13 @@ You can either clone the public repository:
 
 .. code-block:: console
 
-    $ git clone git://github.com/phobson/probscale
+    $ git clone git://github.com/matplotlib/mpl-probscale
 
 Or download the `tarball`_:
 
 .. code-block:: console
 
-    $ curl  -OL https://github.com/phobson/probscale/tarball/master
+    $ curl  -OL https://github.com/matplotlib/mpl-probscale/tarball/master
 
 Once you have a copy of the source, you can install it with:
 
@@ -47,5 +47,5 @@ Once you have a copy of the source, you can install it with:
     $ pip install .
 
 
-.. _Github repo: https://github.com/phobson/probscale
-.. _tarball: https://github.com/phobson/probscale/tarball/master
+.. _Github repo: https://github.com/matplotlib/mpl-probscale
+.. _tarball: https://github.com/matplotlib/mpl-probscale/tarball/master

docs/tutorial/getting_started.ipynb

@@ -8,7 +8,7 @@
     "\n",
     "## Installation\n",
     "\n",
-    "`mpl-probscale` is developed on Python 3.5. It is also tested on Python 3.4 and even 2.7 (for the time being).\n",
+    "`mpl-probscale` is developed on Python 3.6. It is also tested on Python 3.4, 3.5, and even 2.7 (for the time being).\n",
     "\n",
     "### From conda\n",
     "Official releases of `mpl-probscale` can be found on conda-forge:\n",
@@ -17,7 +17,7 @@
     "\n",
     "Fairly recent builds of the development verions are available on my channel:\n",
     "\n",
-    "`conda install --channel=phobson mpl-probscale`\n",
+    "`conda install --channel=conda-forge mpl-probscale`\n",
     "\n",
     "\n",
     "### From PyPI\n",
@@ -27,7 +27,7 @@
     "\n",
     "### From source\n",
     "\n",
-    "`mpl-probscale` is a pure python package. It should be fairly trivial to install from source on any platform. To do that, download or clone from [github](https://github.com/phobson/mpl-probscale), unzip the archive if necessary then do:\n",
+    "`mpl-probscale` is a pure python package. It should be fairly trivial to install from source on any platform. To do that, download or clone from [github](https://github.com/matplotlib/mpl-probscale), unzip the archive if necessary then do:\n",
     "\n",
     "```\n",
     "cd mpl-probscale # or wherever the setup.py got placed\n",

probscale/tests/test_viz.py

@@ -20,7 +20,7 @@
 if PY27:  # pragma: no cover
     import mock
     TIGHT_TOLERANCE = 15
-    LOOSE_TOLERANCE = 18
+    LOOSE_TOLERANCE = 20
 else:
     from unittest import mock
     TIGHT_TOLERANCE = 13