Python Can'；t使用OpenShift安装Pandas

我在

OpenShift

上运行一个Flask应用程序，其中一个Python依赖项是Pandas 0.16.1。通过查看，我创建了我的

setup.py

文件，如下所示：

from setuptools import setup

setup(name='MyApp',
    version='0.1a',
    description='some description',
    author='me',
    author_email='me@gmail.com',
    url='http://myapp.com/',
    install_requires=['Flask>=0.10.1','numpy>=1.9.2','pandas>=0.16.1'],
    )

使用requires创建应用程序时，该过程失败。产生以下错误。。。救命啊

The initial build for the application failed: Shell command
'/sbin/runuser -s /bin/sh 557ba9e9e0b8cd360b000131 -c "exec
/usr/bin/runcon 'unconfined_u:system_r:openshift_t:s0:c1,c69' /bin/sh
-c \"gear postreceive --init >> /tmp/initial-build.log 2>&1\""' returned an error. rc=137 .Last 10 kB of build output: Stopping Python
2.7 cartridge Repairing links for 1 deployments Building git ref 'master', commit 239ba5f Activating virtenv Running setup.py script..
running develop running egg_info creating GTFS_Viewer.egg-info writing
requirements to GTFS_Viewer.egg-info/requires.txt writing
GTFS_Viewer.egg-info/PKG-INFO writing top-level names to
GTFS_Viewer.egg-info/top_level.txt writing dependency_links to
GTFS_Viewer.egg-info/dependency_links.txt writing manifest file
'GTFS_Viewer.egg-info/SOURCES.txt' reading manifest file
'GTFS_Viewer.egg-info/SOURCES.txt' writing manifest file
'GTFS_Viewer.egg-info/SOURCES.txt' running build_ext Creating
/var/lib/openshift/557ba9e9e0b8cd360b000131/app-root/runtime/dependencies/python/virtenv/lib/python2.7/site-packages/GTFS-Viewer.egg-link
(link to .) Adding GTFS-Viewer 0.1a to easy-install.pth file Installed
/var/lib/openshift/557ba9e9e0b8cd360b000131/app-root/runtime/repo
Processing dependencies for GTFS-Viewer==0.1a Searching for
pandas>=0.16.1 Reading
http://mirror1.ops.rhcloud.com/mirror/python/web/simple/pandas/ Best
match: pandas 0.16.1 Downloading
mirror1.ops.rhcloud.com/mirror/python/web/packages/source/p/pandas/pandas-0.16.1.zip#md5=d465643d588c4f886b8e796ae56673ad
Processing pandas-0.16.1.zip Writing
/tmp/easy_install-97qgiA/pandas-0.16.1/setup.cfg Running
pandas-0.16.1/setup.py -q bdist_egg --dist-dir
/tmp/easy_install-97qgiA/pandas-0.16.1/egg-dist-tmp-VpNuur warning: no
files found matching 'README.rst' no previously-included directories
found matching 'doc/build' warning: no directories found matching
'examples' warning: no previously-included files matching '*.so' found
anywhere in distribution warning: no previously-included files
matching '*.pyd' found anywhere in distribution warning: no
previously-included files matching '*.pyc' found anywhere in
distribution warning: no previously-included files matching '*~' found
anywhere in distribution warning: no previously-included files
matching '#*' found anywhere in distribution warning: no
previously-included files matching '.git*' found anywhere in
distribution warning: no previously-included files matching
'.DS_Store' found anywhere in distribution warning: no
previously-included files matching '*.png' found anywhere in
distribution In file included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
from pandas/index.c:250:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" pandas/index.c: In function
'__pyx_f_6pandas_5index_11IndexEngine__maybe_get_bool_indexer':
pandas/index.c:4088: warning: '__pyx_v_last_true' may be used
uninitialized in this function pandas/index.c: In function
'__pyx_f_6pandas_5index_13Float64Engine__maybe_get_bool_indexer':
pandas/index.c:7981: warning: '__pyx_v_last_true' may be used
uninitialized in this function pandas/index.c: In function
'__pyx_f_6pandas_5index_11Int64Engine__maybe_get_bool_indexer':
pandas/index.c:7356: warning: '__pyx_v_last_true' may be used
uninitialized in this function pandas/index.c: In function
'__pyx_f_6pandas_5index__bin_search': pandas/index.c:8769: warning:
'__pyx_v_mid' may be used uninitialized in this function In file
included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
from pandas/src/datetime/np_datetime.c:18:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
/opt/rh/python27/root/usr/include/python2.7/datetime.h:188: warning:
'PyDateTimeAPI' defined but not used In file included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
from pandas/src/datetime/np_datetime_strings.c:17:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
pandas/src/datetime/np_datetime_strings.c: In function
'make_iso_8601_datetime':
pandas/src/datetime/np_datetime_strings.c:1147: warning: format
'%04ld' expects type 'long int', but argument 4 has type 'long long
int' pandas/src/datetime/np_datetime_strings.c:1147: warning: format
'%04ld' expects type 'long int', but argument 4 has type 'long long
int' pandas/src/datetime/np_datetime_strings.c: At top level:
pandas/src/datetime/np_datetime_strings.c:127: warning: 'get_gmtime'
defined but not used In file included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
from pandas/src/period.c:251:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1594:
warning: '_import_array' defined but not used
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__ufunc_api.h:236:
warning: '_import_umath' defined but not used In file included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
from pandas/src/datetime/np_datetime.c:18:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
/opt/rh/python27/root/usr/include/python2.7/datetime.h:188: warning:
'PyDateTimeAPI' defined but not used In file included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
from pandas/src/datetime/np_datetime_strings.c:17:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
pandas/src/datetime/np_datetime_strings.c: In function
'make_iso_8601_datetime':
pandas/src/datetime/np_datetime_strings.c:1147: warning: format
'%04ld' expects type 'long int', but argument 4 has type 'long long
int' pandas/src/datetime/np_datetime_strings.c:1147: warning: format
'%04ld' expects type 'long int', but argument 4 has type 'long long
int' pandas/src/datetime/np_datetime_strings.c: At top level:
pandas/src/datetime/np_datetime_strings.c:127: warning: 'get_gmtime'
defined but not used In file included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from pandas/src/period_helper.h:12, from pandas/src/period_helper.c:1:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
pandas/src/period_helper.c:33: warning: 'NULL_AF_INFO' defined but not
used In file included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
from pandas/algos.c:250:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"

---

你能手动完成吗？i、 e:

ssh 12hh3456789hh01011@nameofapp-username.rhcloud.com

并激活环境：

source app-root/runtime/dependencies/python/virtenv/bin/activate

然后安装依赖项。初婚

pip install -U numpy

然后是熊猫：

pip install pandas

---

我也遇到过同样的问题：通过

requirements.txt安装pandas或使用
pip
都不起作用

Openshift在尝试编译
algos.c
时停止并终止进程。下面是为我实现这一技巧的手动安装变通方法（python3.3盒带）。这是一个有点乏味的尝试和错误过程的结果，我无法真正解释它为什么会起作用。但你可能想试试

连接到openshift:
rhc ssh

将最新的源代码下载到/tmp目录中以手动安装

cd /tmp
mkdir pandas
cd pandas
wget https://pypi.python.org/packages/source/p/pandas/pandas-0.16.2.zip#md5=860a6c7e5e1a24bb0aa549b115830252
unzip pandas-0.16.2.zip
cd pandas-0.16.2


使用您喜爱的（可用）编辑器编辑
setup.py
文件，例如
emacs
并搜索“algos”。第二次出现时，在变量
ext\u data
中注释掉algos包：

...
    index={'pyxfile': 'index',
           'sources': ['pandas/src/datetime/np_datetime.c',
                       'pandas/src/datetime/np_datetime_strings.c']},
#    algos={'pyxfile': 'algos',                                                                                                     
#           'depends': [srcpath('generated', suffix='.pyx'),                                                                        
#                       srcpath('join', suffix='.pyx')]},                                                                                               
    parser={'pyxfile': 'parser',
            'depends': ['pandas/src/parser/tokenizer.h',
                        'pandas/src/parser/io.h',
                        'pandas/src/numpy_helper.h'],
 ...


运行安装过程的第一部分：

./setup.py install


现在，让我们手工编译缺少的
algos
片段。为此，请删除您在步骤2中所做的注释，并注释掉
ext\u data
中的所有其他条目（除了
algos
条目）

在“干运行”模式下运行安装程序，查看编译算法所需的两个
gcc
命令

./setup.py -n build


复制第一个
gcc
命令以从shell运行它。当我尝试此操作时，此命令使openshift关闭连接。因此，我通过删除双选项和删除
-O2
标志（即优化）对其进行了调整。这对我很有用：

gcc -pthread -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -I/opt/rh/python33/root/usr/include -Ipandas/src/klib -Ipandas/src -I/opt/rh/python33/root/usr/lib64/python3.3/site-packages/numpy/core/include -I$OPENSHIFT_HOMEDIR/python/virtenv/venv/include -I/opt/rh/python33/root/usr/include/python3.3m -c pandas/algos.c -o build/temp.linux-x86_64-3.3/pandas/algos.o


第二个命令可以不加更改地运行。对我来说是：

gcc -pthread -shared -L/opt/rh/python33/root/usr/lib64 -L/usr/lib6464 build/temp.linux-x86_64-3.3/pandas/algos.o -L/opt/rh/python33/root/usr/lib64 -lpython3.3m -o build/lib.linux-x86_64-3.3/pandas/algos.cpython-33m.so


现在，需要安装手工制作的文件：

./setup.py install


快速检查它是否适合你。首先
cd
到您的主目录，然后尝试python：

cd
python
Python 3.3.2 (default, Mar 20 2014, 20:25:51) 
[GCC 4.4.6 20120305 (Red Hat 4.4.6-4)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas


删除
/tmp/pandas
目录

rm -rf /tmp/pandas


希望这对你也有用
 从web控制台重新启动Openshift应用程序，提交更改并部署。这对我有用
 我要试一试。非常感谢。这是你的工作吗？我在pandas上也遇到了问题，pip install padnas对我不起作用非常好，你的方法对pandas-0.18.0仍然有效。我创建了一个新的应用程序后，我确保通过
轻松安装-升级numpy
升级
numpy
。然后，我做了第一个
gcc
：删除重复项和
-O2
优化。谢谢大家!@很高兴听到它对你有用。我的假设是，对于这些较长的源文件，小齿轮的内存资源不足以使用优化。我相信这个问题的原因是齿轮在
algos.c
编译的优化过程中耗尽了RAM。这种行为不会发生在中型设备上（因此可以将一个人的应用程序克隆到中型设备上，安装pandas，然后使用快照将其克隆回小型设备）。我在另一个主机服务上遇到了类似的问题。我通过创建一个交换文件来解决这个问题，这样进程就不会耗尽RAM。