Travis ci matplotlib依赖项和Python 3

我正试图用我的项目建立一个travis连续构建系统，它的依赖项中有numpy、scipy和matplotlib。我的目标是python 3.3

在我的

.travis.yml

脚本中，我正在从apt get安装numpy和scipy，当然也从pip（仅numpy）安装。不幸的是，matplotlib build仍然表示DEP中缺少numpy。我尝试了网络上几乎所有的方法，但大多数都不起作用（我认为它们已经过时了）

下面是特拉维斯日志的有趣部分。它说依赖性并没有得到满足，但pip命令可以看到已经从apt安装了numpy

BUILDING MATPLOTLIB
            matplotlib: 1.2.0
                python: 3.3.2 (default, May 16 2013, 18:32:41)  [GCC 4.6.3]
              platform: linux

REQUIRED DEPENDENCIES
                 numpy: no
                        * You must install numpy 1.4 or later to build
                        * matplotlib.
Complete output from command python setup.py egg_info:
basedirlist is: ['/usr/local', '/usr']                                                                                                                                                              

---

如果您不需要针对多个python版本进行测试，最简单的技巧是告诉travis您的语言是

c

，然后安装apt-get中的所有内容。这解决了system_site_软件包和virtualenv的所有问题

例如，该库使用travis ci进行测试，并依赖于完整的scipy堆栈（numpy、scipy、matplotlib、pytables、pandas等），该堆栈通过

apt

和

language=c

安装

---

罗伯特·麦吉本（Robert McGibbon）的建议是，Apt get显然仍然相当缓慢

这里使用的是Miniconda，它将在Travis CI测试机器上预安装matplotlib和其他scipy堆栈。这是完整的

.travis.yml

文件：

language: python
python:
  - 2.7
  - 3.3
notifications:
  email: false

# Setup anaconda
before_install:
  - wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh
  - chmod +x miniconda.sh
  - ./miniconda.sh -b
  - export PATH=/home/travis/miniconda/bin:$PATH
  - conda update --yes conda
  # The next couple lines fix a crash with multiprocessing on Travis and are not specific to using Miniconda
  - sudo rm -rf /dev/shm
  - sudo ln -s /run/shm /dev/shm
# Install packages
install:
  - conda install --yes python=$TRAVIS_PYTHON_VERSION atlas numpy scipy matplotlib nose dateutil pandas statsmodels
  # Coverage packages are on my binstar channel
  - conda install --yes -c dan_blanchard python-coveralls nose-cov
  - python setup.py install

# Run test
script:
  - nosetests --with-cov --cov YOUR_PACKAGE_NAME_HERE --cov-config .coveragerc --logging-level=INFO

# Calculate coverage
after_success:
  - coveralls --config_file .coveragerc

---

看看scipy travis.yml；他们肯定安装了

numpy

：

language: python
python:
  - 2.7
  - 3.3
notifications:
  email: false

# Setup anaconda
before_install:
  - wget http://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh
  - chmod +x miniconda.sh
  - ./miniconda.sh -b
  - export PATH=/home/travis/miniconda/bin:$PATH
  - conda update --yes conda
  # The next couple lines fix a crash with multiprocessing on Travis and are not specific to using Miniconda
  - sudo rm -rf /dev/shm
  - sudo ln -s /run/shm /dev/shm
# Install packages
install:
  - conda install --yes python=$TRAVIS_PYTHON_VERSION atlas numpy scipy matplotlib nose dateutil pandas statsmodels
  # Coverage packages are on my binstar channel
  - conda install --yes -c dan_blanchard python-coveralls nose-cov
  - python setup.py install

# Run test
script:
  - nosetests --with-cov --cov YOUR_PACKAGE_NAME_HERE --cov-config .coveragerc --logging-level=INFO

# Calculate coverage
after_success:
  - coveralls --config_file .coveragerc