如何在linux-64上安装Anaconda Python 3.5的图形工具?
我正在尝试在Ubuntu 14.04(x64)上为Anaconda
Python 3.5安装图形工具,但事实证明这是一个真正的技巧.
我试过this approach,但遇到了问题: The following specifications were found to be in conflict: - graph-tool Use "conda info <package>" to see the dependencies for each package. 挖掘依赖关系导致了gobject-introspection的死胡同 所以我尝试了另一种方法: 使用conda安装了boost,然后尝试./configure,make和make install graph-tool …这就是./configure: =========================== Using python version: 3.5.2 =========================== checking for boostlib >= 1.54.0... yes checking whether the Boost::Python library is available... yes checking whether boost_python is the correct library... no checking whether boost_python-py27 is the correct library... no checking whether boost_python-py27 is the correct library... (cached) no checking whether boost_python-py27 is the correct library... (cached) no checking whether boost_python-py35 is the correct library... yes checking whether the Boost::IOStreams library is available... yes configure: error: Could not link against boost_python-py35 ! 我知道这是关于./configure命令和conda安装libboost到Anaconda奇怪的地方的环境变量,我只是不知道该怎么做,而我的Google-fu让我失望了.所以这是另一个死胡同. 最近在linux-64中必须安装图形工具的人能给我一个演练吗?这是在VMWare Workstation 10.0.7中运行的新VM 解决方法
为Anaconda Python 3.5,Ubuntu 14.04安装图形工具2.26.
注意:在我写这篇文章时,ostrokach通道conda install of graph-tool仅在版本2.18. 这是我用来安装图形工具2.26的docker文件.可能有一种更清洁的方式,但到目前为止,这是我唯一能够拼凑起来实际工作的东西. 注意:如果您不熟悉docker文件并且只想从终端进行安装,请忽略第一行(从FROM开始),忽略每次出现的单词RUN,以及您剩下的是一系列在终端中执行的命令. FROM [your 14.04 base image] RUN conda upgrade -y conda RUN conda upgrade -y matplotlib RUN add-apt-repository -y ppa:ubuntu-toolchain-r/test && apt-get update -y && apt-get install -y gcc-5 g++-5 && update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-5 60 --slave /usr/bin/g++ g++ /usr/bin/g++-5 RUN wget https://github.com/CGAL/cgal/archive/releases/CGAL-4.10.2.tar.gz && tar xzf CGAL-4.10.2.tar.gz && cd cgal-releases-CGAL-4.10.2/ && cmake . && make && make install RUN cd /tmp && # note: master branch of repo appears relatively stable,has not been updated since 2016 git clone https://github.com/sparsehash/sparsehash.git && cd sparsehash && ./configure && make && make install RUN apt-get update RUN apt-get install -y build-essential g++ python-dev autotools-dev libicu-dev build-essential libbz2-dev libboost-all-dev RUN apt-get install -y autogen autoconf libtool shtool # install boost RUN cd /tmp && wget https://dl.bintray.com/boostorg/release/1.66.0/source/boost_1_66_0.tar.gz && tar xzvf boost_1_66_0.tar.gz && cd boost_1_66_0 && sudo ./bootstrap.sh --prefix=/usr/local && sudo ./b2 && sudo ./b2 install # install newer cairo RUN cd /tmp && wget https://cairographics.org/releases/cairo-1.14.12.tar.xz && tar xf cairo-1.14.12.tar.xz && cd cairo-1.14.12 && ./configure && make && sudo make install RUN cd /tmp && wget https://download.gnome.org/sources/libsigc++/2.99/libsigc++-2.99.10.tar.xz && tar xf libsigc++-2.99.10.tar.xz && cd libsigc++-2.99.10 && ./configure && make && sudo make install && sudo cp ./sigc++config.h /usr/local/include/sigc++-3.0/sigc++config.h RUN cd /tmp && wget https://www.cairographics.org/releases/cairomm-1.15.5.tar.gz && tar xf cairomm-1.15.5.tar.gz && cd cairomm-1.15.5 && ./configure && make && sudo make install && sudo cp ./cairommconfig.h /usr/local/include/cairomm-1.16/cairomm/cairommconfig.h RUN conda install -y -c conda-forge boost pycairo RUN conda install -y -c numba numba=0.36.2 RUN conda install -y -c libboost py-boost && conda update -y cffi dbus expat pycairo pandas scipy numpy harfbuzz setuptools boost RUN apt-get install -y apt-file dbus libdbus-1-dev && apt-file update RUN apt-get install -y graphviz RUN conda install -y -c conda-forge python-graphviz RUN sudo apt-get install -y valgrind RUN apt-get install -y libcgal-dev libcairomm-1.0 libcairomm-1.0-dev libcairo2-dev python-cairo-dev RUN conda install -y -c conda-forge pygobject RUN conda install -y -c ostrokach gtk RUN cd /tmp && wget https://git.skewed.de/count0/graph-tool/repository/release-2.26/archive.tar.bz2 && bunzip2 archive.tar.bz2 && tar -xf archive.tar && cd graph-tool-release-2.26-b89e6b4e8c5dba675997d6f245b301292a5f3c59 && # Fix problematic parts of the graph-tool configure.ac file sed -i 's/PKG_INSTALLDIR/#PKG_INSTALLDIR/' ./configure.ac && sed -i 's/AM_PATH_PYTHON([2.7])/AM_PATH_PYTHON([3.5])/' ./configure.ac && sed -i 's/${PYTHON}//usr/local/anaconda3/bin/python/' ./configure.ac && sed -i '$a ACLOCAL_AMFLAGS = -I m4' ./Makefile.am && sudo ./autogen.sh && sudo ./configure CPPFLAGS="-I/usr/local/include -I/usr/local/anaconda3/pkgs/pycairo-1.15.4-py35h1b9232e_1/include -I/usr/local/include/cairo -I/usr/local/include/sigc++-3.0 -I/usr/include/freetype2" LDFLAGS="-L/usr/local/include -L/usr/local/lib/cairo -L/usr/local/include/sigc++-3.0 -L/usr/include/freetype2" PYTHON="/usr/local/anaconda3/bin/python" PYTHON_VERSION=3.5 sudo make && sudo make install 警告:制作图表工具可能需要几个小时,并且需要大于7 GB的RAM. (编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |