lib/png.lib

lib/z.lib

There are a few possibilities to build matplotlib on Windows:

* Wheels via [matplotlib-winbuild](https://github.com/jbmohler/matplotlib-winbuild)

* Wheels by using conda packages

* Conda packages

This is a wheel build, but we use conda packages to get all the requirements. The binary

requirements (png, freetype,...) are statically linked and therefore not needed during the wheel

install.

The commands below assume that you can compile a native python lib for the python version of your

choice. See [this howto](http://blog.ionelmc.ro/2014/12/21/compiling-python-extensions-on-windows/)

how to install and setup such environments. If in doubt: use python 3.5 as it mostly works

without fiddling with environment variables.

``` sh

conda create -n "matplotlib_build" python=3.4 numpy python-dateutil pyparsing pytz tornado pyqt cycler tk libpng zlib freetype

activate matplotlib_build

conda install -c conda-forge msinttypes

conda install -c conda-forge functools32

set LIBRARY_LIB=%CONDA_DEFAULT_ENV%\Library\lib

mkdir lib || cmd /c "exit /b 0"

copy %LIBRARY_LIB%\zlibstatic.lib lib\z.lib

copy %LIBRARY_LIB%\libpng_static.lib lib\png.lib

set MPLBASEDIRLIST=%CONDA_DEFAULT_ENV%\Library\;.

python setup.py bdist_wheel

The `build_alllocal.cmd` script automates these steps if you already created and activated the conda environment.

This needs a [working installed C compiler](http://blog.ionelmc.ro/2014/12/21/compiling-python-extensions-on-windows/)

for the version of python you are compiling the package for but you don't need to setup the

environment variables.

conda install conda-build

set CONDA_PY=3.5

conda build ci\conda_recipe

conda install --use-local matplotlib

CMD_IN_ENV: "cmd /E:ON /V:ON /C obvci_appveyor_python_build_env.cmd"

CONDA_INSTALL_LOCN: "C:\\conda"

# Workaround for https://github.com/conda/conda-build/issues/636

PYTHONIOENCODING: "UTF-8"

# for testing purpose: numpy 1.8 on py2.7, for the rest use 1.10/latest

- TARGET_ARCH: "x86"

- TARGET_ARCH: "x64"

PYTHON_VERSION: "2.7"

- TARGET_ARCH: "x64"

CONDA_PY: "34"

CONDA_NPY: "110"

PYTHON_VERSION: "3.4"

- TARGET_ARCH: "x64"

CONDA_PY: "35"

CONDA_NPY: "110"

PYTHON_VERSION: "3.5"

- cmd: "ECHO %PYTHON_VERSION% %CONDA_INSTALL_LOCN%"

- appveyor DownloadFile "https://raw.githubusercontent.com/pelson/Obvious-CI/master/bootstrap-obvious-ci-and-miniconda.py"

- cmd: python bootstrap-obvious-ci-and-miniconda.py %CONDA_INSTALL_LOCN% %TARGET_ARCH% %CONDA_PY:~0,1% --without-obvci

- cmd: set PATH=%CONDA_INSTALL_LOCN%;%CONDA_INSTALL_LOCN%\scripts;%PATH%;

- cmd: set PYTHONUNBUFFERED=1

- cmd: conda install -c http://conda.anaconda.org/pelson/channel/development --yes --quiet obvious-ci

- cmd: obvci_install_conda_build_tools.py

# Fix the appveyor build environment to work with conda build

# workaround for missing vcvars64.bat in py34 64bit

- cmd: copy ci\appveyor\vcvars64.bat "C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\bin\amd64"

# workaround for conda build on py27 prefering the normal installed

# VS tools instead of the also installed Py27 VS compiler (which wouldn't need this workarounds...)

- cmd: copy "C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\bin\vcvars64.bat" "C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\bin\amd64\vcvarsamd64.bat"

# same things as the requirements in ci/conda_recipe/meta.yaml

- cmd: conda create -y -q -n test-environment python=%PYTHON_VERSION% pip setuptools numpy python-dateutil freetype msinttypes tk pyparsing pytz tornado libpng zlib pyqt cycler nose mock

- cmd: echo %PYTHON_VERSION% %TARGET_ARCH%

- cmd: IF %PYTHON_VERSION% == 2.7 conda install -y functools32

# Let the install prefer the static builds of the libs

- copy %LIBRARY_LIB%\zlibstatic.lib lib\z.lib

# enables the local freetype build

- copy ci\travis\setup.cfg .

# Build the wheel

# Hide the output, the copied files really clutter the build log...

- cmd: '%CMD_IN_ENV% python setup.py bdist_wheel > NUL:'

# And now the conda build after a cleanup...

# cleanup build files so that they don't pollute the conda build but keep the wheel in dist...

- cmd: git clean -d -x -f -e dist/

# cleanup the environment so that the test-environment does not leak into the conda build...

- cmd: set MPLBASEDIRLIST=

- cmd: set LIBRARY_LIB=

- cmd: deactivate

- cmd: path

- cmd: where python

- cmd: '%CMD_IN_ENV% conda build .\ci\conda_recipe'

# as an "artifact" for Appveyor.

- cmd: 'copy /Y %CONDA_INSTALL_LOCN%\conda-bld\win-32\*.bz2 dist || cmd /c "exit /b 0"'

- cmd: 'copy /Y %CONDA_INSTALL_LOCN%\conda-bld\win-64\*.bz2 dist || cmd /c "exit /b 0"'

- cmd: dir dist\

- cmd: echo finished...

name: result_images

on_failure:

- echo zipping images after a failure...

- 7z a result_images.zip result_images\ >NUL:

- appveyor PushArtifact result_images.zip

set TARGET=bdist_wheel

IF [%1]==[] (

echo Using default target: %TARGET%

) else (

set TARGET=%1

echo Using user supplied target: %TARGET%

)

IF NOT DEFINED CONDA_DEFAULT_ENV (

echo No Conda env activated: you need to create a conda env with the right packages and activate it!

GOTO:eof

)

set LIBRARY_LIB=%CONDA_DEFAULT_ENV%\Library\lib

mkdir lib || cmd /c "exit /b 0"

copy %LIBRARY_LIB%\zlibstatic.lib lib\z.lib

copy %LIBRARY_LIB%\libpng_static.lib lib\png.lib

set MPLBASEDIRLIST=%CONDA_DEFAULT_ENV%\Library\;.

python setup.py %TARGET%