在 anaconda 虚拟环境中启动 Matlab 引擎返回“分段

I've tried setting LD_LIBRARY_PATH from within the conda environment (in case that is even relevant): export LD_LIBRARY_PATH=/System/Library/Frameworks/Python.framework/Versions/Current/lib:$LD_LIBRARY_PATH, but to no avail. The path doesn't exist either as far as I'm aware, so I've also tried export DYLD_LIBRARY_PATH=path_to_anaconda3/envs/myEnv/lib:$LD_LIBRARY_PATH

那么如何从 Anaconda 虚拟环境中启动 matlab 引擎/从 Python 调用 Matlab 脚本?

So how can I start the matlab engine/call Matlab scripts from Python from within a Anaconda virtual environment?

顺便说一句，我在 Ubuntu 上

I'm on Ubuntu, by the way

推荐答案

简答:有两个问题需要解决

Short answer: there were two problems that needed to be fixed

1. $LD_LIBRARY_PATH 应该不包含 Anaconda 安装的路径.根据 conda 文档，不鼓励添加这样的路径:https://conda.io/docs/building/shared-libraries.html，但有些软件包可能会这样做，从而导致分段错误.
2. 需要从正确版本的 libpythonXXX.dylib 文件到/usr/lib/的符号链接，以便 MATLAB 可以找到正确的 Python

1. $LD_LIBRARY_PATH should not contain a path to the Anaconda installation. Adding such a path is discouraged according to the conda documentation: https://conda.io/docs/building/shared-libraries.html, but some packages may do so anyways, causing the segmentation error.
2. A symbolic link is needed from a libpythonXXX.dylib file of the right version to /usr/lib/, so that MATLAB can find the right Python

长答案:使用 MATLAB Engine 和 Anaconda 的完整安装说明

Long answer: complete installation instructions for using MATLAB Engine with Anaconda

• 安装支持您要使用的 Python 的 MATLAB 版本.确保此特定 MATLAB 安装已激活
• 打开终端并转到包含 MATLAB 安装的 Python 引擎的文件夹:cd "/usr/local/MATLAB/R2017a/extern/engines/python"
• 使用您要使用的 Python 版本运行 setup.py，并为 Anaconda 环境位置添加前缀:sudo python3.5 setup.py install --prefix="/your_path_to_anaconda3/envs/your_env".此时，您应该能够从 Anaconda 环境的 Python 中 import matlab 和 matlab.engine，但是，在我的情况下，启动引擎会导致分段错误.
• 找到正确版本的 libpython 文件.您的 Anaconda 环境应该包含它:find/your_path_to_anaconda3/envs/your_env/-name libpython*.就我而言，这返回了:
  • /.../lib/libpython3.so
  • /.../lib/python3.5/config-3.5m/libpython3.5m.a
  • /.../lib/libpython3.5m.so.1.0
  • /.../lib/libpython3.5m.so
  • Install a MATLAB version that supports the Python you want to use. Ensure that this particular MATLAB installation is activated
  • Open a terminal and go to the folder containing the Python engine of the MATLAB installation: cd "/usr/local/MATLAB/R2017a/extern/engines/python"
  • Run setup.py with the Python version you want to use, and prefix the Anaconda environment location: sudo python3.5 setup.py install --prefix="/your_path_to_anaconda3/envs/your_env". At this point you should be able to import matlab and matlab.engine from within the Python of your Anaconda environment, but, in my case, starting the engine gave the segmentation error.
  • Find the libpython file of the right version. Your Anaconda environment should contain it: find /your_path_to_anaconda3/envs/your_env/ -name libpython*. In my case this returned:
    • /.../lib/libpython3.so
    • /.../lib/python3.5/config-3.5m/libpython3.5m.a
    • /.../lib/libpython3.5m.so.1.0
    • /.../lib/libpython3.5m.so

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