matplotlib -在CentOS上安装- setup.py构建失败

Question

尝试安装matplotlib (1.1.0在CentOS上使用python2.7.3)

python setup.py构建

看起来很好直到：

running build_ext
building 'matplotlib.ft2font' extension
gcc -pthread -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1 -I/mnt/storage/laviniag/Tools/Qiime/qiime_software/numpy-1.5.1-release/lib/python2.7/site-packages/numpy/core/include -I/usr/include/freetype2 -I/usr/local/include -I/usr/include -I. -I/mnt/storage/laviniag/Tools/Qiime/qiime_software/python-2.7.3-release/include/python2.7 -c src/ft2font.cpp -o build/temp.linux-x86_64-2.7/src/ft2font.o
gcc -pthread -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1 -I/mnt/storage/laviniag/Tools/Qiime/qiime_software/numpy-1.5.1-release/lib/python2.7/site-packages/numpy/core/include -I/usr/include/freetype2 -I/usr/local/include -I/usr/include -I. -I/mnt/storage/laviniag/Tools/Qiime/qiime_software/python-2.7.3-release/include/python2.7 -c src/mplutils.cpp -o build/temp.linux-x86_64-2.7/src/mplutils.o
gcc -pthread -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1 -I/mnt/storage/laviniag/Tools/Qiime/qiime_software/numpy-1.5.1-release/lib/python2.7/site-packages/numpy/core/include -I/usr/include/freetype2 -I/usr/local/include -I/usr/include -I. -I/mnt/storage/laviniag/Tools/Qiime/qiime_software/python-2.7.3-release/include/python2.7 -c CXX/cxx_extensions.cxx -o build/temp.linux-x86_64-2.7/CXX/cxx_extensions.o
gcc -pthread -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1 -I/mnt/storage/laviniag/Tools/Qiime/qiime_software/numpy-1.5.1-release/lib/python2.7/site-packages/numpy/core/include -I/usr/include/freetype2 -I/usr/local/include -I/usr/include -I. -I/mnt/storage/laviniag/Tools/Qiime/qiime_software/python-2.7.3-release/include/python2.7 -c CXX/IndirectPythonInterface.cxx -o build/temp.linux-x86_64-2.7/CXX/IndirectPythonInterface.o
gcc -pthread -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1 -I/mnt/storage/laviniag/Tools/Qiime/qiime_software/numpy-1.5.1-release/lib/python2.7/site-packages/numpy/core/include -I/usr/include/freetype2 -I/usr/local/include -I/usr/include -I. -I/mnt/storage/laviniag/Tools/Qiime/qiime_software/python-2.7.3-release/include/python2.7 -c CXX/cxxsupport.cxx -o build/temp.linux-x86_64-2.7/CXX/cxxsupport.o
gcc -pthread -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1 -I/mnt/storage/laviniag/Tools/Qiime/qiime_software/numpy-1.5.1-release/lib/python2.7/site-packages/numpy/core/include -I/usr/include/freetype2 -I/usr/local/include -I/usr/include -I. -I/mnt/storage/laviniag/Tools/Qiime/qiime_software/python-2.7.3-release/include/python2.7 -c CXX/cxxextensions.c -o build/temp.linux-x86_64-2.7/CXX/cxxextensions.o
g++ -pthread -shared build/temp.linux-x86_64-2.7/src/ft2font.o build/temp.linux-x86_64-2.7/src/mplutils.o build/temp.linux-x86_64-2.7/CXX/cxx_extensions.o build/temp.linux-x86_64-2.7/CXX/IndirectPythonInterface.o build/temp.linux-x86_64-2.7/CXX/cxxsupport.o build/temp.linux-x86_64-2.7/CXX/cxxextensions.o -L/usr/local/lib -L/usr/lib -L/usr/local/lib64 -L/usr/lib64 -L/mnt/storage/laviniag/Tools/Qiime/qiime_software/python-2.7.3-release/lib -lfreetype -lz -lstdc++ -lm -lpython2.7 -o build/lib.linux-x86_64-2.7/matplotlib/ft2font.so
**/usr/bin/ld: /usr/local/lib/libpython2.7.a(parsetok.o): relocation R_X86_64_32 against `.rodata.str1.1' can not be used when making a shared object; recompile with -fPIC
/usr/local/lib/libpython2.7.a: could not read symbols: Bad value
collect2: ld returned 1 exit status
error: command 'g++' failed with exit status 1**

所以我猜我需要要么编辑配置文件，要么允许共享？任何帮助都很感谢，谢谢。

Answer 1

matplotlib是一个可能真的很难安装的软件包，还有很多其他的软件包(嗯，嗯……lxml、pyside/pyqt4 4等)。

省去一些麻烦，并检查其中一个预建。蟒蛇从连续体或冠层是好的，从屋顶，并将节省你的头痛(免费安装)。

Answer 2

只要使用pip和virtualenv，它应该工作得很好(CentOS6.5，x86_64，python-2.6) 在CentOS 6.5上安装Matplotlib