在CentOS上安装matplotlib设置.py生成失败

Question

正在尝试安装matplotlib（1.1.0，在CentOS上安装python2.7.3）

Python设置.py建造

看起来不错直到：

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**

所以我想我要么编辑配置文件要么允许共享？感谢任何帮助，谢谢。在

Answer 1

matplotlib是一个很难安装的包，还有很多其他的包（嗯。。。lxml、pyside/pyqt4等）。在

省去你自己的麻烦和检查一个预建。Anaconda来自continuum或canopy from enthough在cetos上很好，并且可以节省您的麻烦日志（免费安装）。在

Answer 2

只要使用pip和virtualenv，它应该可以正常工作（CentOS-6.5、x86_64、python-2.6）Installing Matplotlib on CentOS 6.5