API: only support python 3.5+

tacaswell · tacaswell · commit cc89ae3de21e · 2018-02-11T22:41:29.000-05:00
Matplotlib 3.0 will not support python2.7
diff --git a/.appveyor.yml b/.appveyor.yml
@@ -19,9 +19,6 @@ environment:
     # theoretically the CONDA_INSTALL_LOCN could be only two: one for 32bit,
     # one for 64bit because we construct envs anyway. But using one for the
     # right python version is hopefully making it fast due to package caching.
-    - PYTHON_VERSION: "2.7"
-      CONDA_INSTALL_LOCN: "C:\\Miniconda-x64"
-      TEST_ALL: "no"
     - PYTHON_VERSION: "3.5"
       CONDA_INSTALL_LOCN: "C:\\Miniconda35-x64"
       TEST_ALL: "no"
diff --git a/.travis.yml b/.travis.yml
@@ -65,7 +65,7 @@ env:
 
 matrix:
   include:
-    - python: 2.7
+    - python: 3.5
       # pytest-cov>=2.3.1 due to https://github.com/pytest-dev/pytest-cov/issues/124.
       env:
         - CYCLER=cycler==0.10
@@ -78,7 +78,7 @@ matrix:
         - PYTEST=pytest==3.1.0
         - PYTEST_COV=pytest-cov==2.3.1
         - SPHINX=sphinx==1.3
-    - python: 3.4
+    - python: 3.5
       env: PYTHON_ARGS=-OO
     - python: 3.6
       env: DELETE_FONT_CACHE=1 PANDAS='pandas<0.21.0' PYTEST_PEP8=pytest-pep8 RUN_PEP8=--pep8
@@ -111,7 +111,9 @@ before_install:
     else
       brew update
       brew tap homebrew/gui
-      brew install python libpng ffmpeg imagemagick mplayer ccache
+      brew install python3 libpng ffmpeg imagemagick mplayer ccache
+      # make 'python' mean 'pyhon3'
+      ln -s /usr/local/bin/python3 /usr/local/bin/python
       # We could install ghostscript and inkscape here to test svg and pdf
       # but this makes the test time really long.
       # brew install ghostscript inkscape
diff --git a/INSTALL.rst b/INSTALL.rst
@@ -32,43 +32,14 @@ Although not required, we suggest also installing ``IPython`` for
 interactive use.  To easily install a complete Scientific Python
 stack, see :ref:`install_scipy_dists` below.
 
-.. _installing_windows:
-
-Windows
--------
-
-In case Python 2.7 or 3.4 are not installed for all users,
-the Microsoft Visual C++ 2008
-(`64 bit <https://www.microsoft.com/en-us/download/details.aspx?id=15336>`__
-or
-`32 bit <https://www.microsoft.com/en-us/download/details.aspx?id=29>`__
-for Python 2.7) or Microsoft Visual C++ 2010
-(`64 bit <https://www.microsoft.com/en-us/download/details.aspx?id=14632>`__
-or
-`32 bit <https://www.microsoft.com/en-us/download/details.aspx?id=5555>`__
-for Python 3.4) redistributable packages need to be installed.
 
 macOS
 -----
 
-If you are using Python 2.7 on a Mac you may need to do::
-
-  xcode-select --install
-
-so that *subprocess32*, a dependency, may be compiled.
-
 To use the native OSX backend you will need :ref:`a framework build
 <osxframework-faq>` build of Python.
 
 
-Linux
------
-
-On extremely old versions of Linux and Python 2.7 you may need to
-install the master version of *subprocess32* (`see comments
-<https://github.com/google/python-subprocess32/issues/12#issuecomment-304724113>`__).
-
-
 Test Data
 ---------
 
@@ -167,7 +138,7 @@ Dependencies
 
 Matplotlib requires a large number of dependencies:
 
-  * `Python <https://www.python.org/downloads/>`_ (>= 2.7 or >= 3.4)
+  * `Python <https://www.python.org/downloads/>`_ (>= 3.5)
   * `NumPy <http://www.numpy.org>`_ (>= |minimum_numpy_version|)
   * `setuptools <https://setuptools.readthedocs.io/en/latest/>`__
   * `dateutil <https://pypi.python.org/pypi/python-dateutil>`_ (>= 2.1)
@@ -176,13 +147,9 @@ Matplotlib requires a large number of dependencies:
   * `pytz <http://pytz.sourceforge.net/>`__
   * FreeType (>= 2.3)
   * `cycler <http://matplotlib.org/cycler/>`__ (>= 0.10.0)
-  * `six <https://pypi.python.org/pypi/six>`_
-  * `backports.functools_lru_cache <https://pypi.python.org/pypi/backports.functools_lru_cache>`_
-    (for Python 2.7 only)
-  * `subprocess32 <https://pypi.python.org/pypi/subprocess32/>`_ (for Python
-    2.7 only, on Linux and macOS only)
   * `kiwisolver <https://github.com/nucleic/kiwi>`__ (>= 1.0.0)
 
+
 Optionally, you can also install a number of packages to enable better user
 interface toolkits. See :ref:`what-is-a-backend` for more details on the
 optional Matplotlib backends and the capabilities they provide.
@@ -325,8 +292,6 @@ without fiddling with environment variables::
   conda install pyqt
   # this package is only available in the conda-forge channel
   conda install -c conda-forge msinttypes
-  # for Python 2.7
-  conda install -c conda-forge backports.functools_lru_cache
 
   # copy the libs which have "wrong" names
   set LIBRARY_LIB=%CONDA_DEFAULT_ENV%\Library\lib
