无法导入在新的Conda环境中安装的软件包 [英] Cannot import packages installed in new Conda environment
问题描述
我正在尝试在HPC服务器上创建自己的conda python环境,并且正在发生一些非常奇怪的事情.
I am trying to make my own conda python environment on HPC server, and something very strange is happening.
问题
创建新的conda环境后,似乎python在该环境中看不到自己,而是在使用基本环境...因此,我无法使用在新环境中安装的软件包,但可以在基本环境中看到它们环境...
After creating a new conda environment, it appears that python is not seeing itself in this environment, and using the base environment... Thus I cannot use packages installed in the new environment, but I can see the ones in the base environment...
这是我所做的
我按如下方式安装我的环境:
I install my environment as follows:
$ conda create -n niml pip python=3.6.5
$ source activate niml
(niml) $ conda install -c conda-forge luigi
然后检查安装的软件包:
and then I check my installed packages:
(niml) $ conda list
这是我得到的非常基本的环境:
and here is what I get, very basic environment:
# Name Version Build Channel
botocore 1.10.61 py_0 conda-forge
ca-certificates 2018.4.16 0 conda-forge
certifi 2018.4.16 py36_0 conda-forge
docutils 0.14 py36_0 conda-forge
jmespath 0.9.3 py_1 conda-forge
libedit 3.1.20170329 h6b74fdf_2
libffi 3.2.1 hd88cf55_4
libgcc-ng 7.2.0 hdf63c60_3
libstdcxx-ng 7.2.0 hdf63c60_3
lockfile 0.12.2 py_1 conda-forge
luigi 2.7.6 py36_0 conda-forge
ncurses 6.1 hf484d3e_0
openssl 1.0.2o 0 conda-forge
pip 10.0.1 py36_0
pyparsing 2.2.0 py_1 conda-forge
python 3.6.5 hc3d631a_2
python-daemon 2.1.2 py36_0
python-dateutil 2.7.3 py_0 conda-forge
readline 7.0 ha6073c6_4
setuptools 39.2.0 py36_0
six 1.11.0 py36_1 conda-forge
sqlite 3.24.0 h84994c4_0
tk 8.6.7 hc745277_3
tornado 4.5.3 py36_0 conda-forge
wheel 0.31.1 py36_0
xz 5.2.4 h14c3975_4
zlib 1.2.11 ha838bed_2
然后我尝试运行python并导入安装了luigi
的软件包,但找不到错误.
then I try running python and import the package which I installed luigi
, and it does not find it getting an error.
(niml) $ python
>>> import luigi
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'luigi'
我还尝试导入在基本环境中而不是在新环境中的numpy
,并且它可以工作.
I also tried to import numpy
which is in the base environment and NOT in the new environment, and it works.
>>> import numpy
上述工作正常,这意味着python
认为它在基本环境中运行.
The above works, which means python
thinks it is running in the base environment.
正在我自己的环境中运行Python
我检查了正在执行的python,确实是新环境niml
中的一个:
I checked which python is being executed, and it is indeed the one in the new environment niml
:
>>> import sys
>>> sys.executable
'~/.conda/envs/niml/bin/python'
也在命令行中进行了检查,它是环境中的python
可执行文件:
Also checked from the command line, and it is the python
executable within the envrinment:
(niml) $ which python
~/.conda/envs/niml/bin/python
我正在使用HPC
我已经创建了anaconda环境数百次,但从未遇到过此问题.唯一的区别是我使用的是HPC服务器,因此我必须进行如下操作:
I have created anaconda environments hundreds of times before and never had this problem. Only difference is that I am using an HPC server, and thus I had to make something like this:
module load python/anaconda3
这是我与通常的工作流程看到的唯一差异,这可能是造成此问题的原因...
this is the only difference I see from my usual workflow which might be creating this problem...
其他人以前都曾见过这个问题并且能够解决它??
Anyone else has seen this problem before and able to solve it??
推荐答案
我试图解决一个类似的问题,并通过virtualenv而不是使用conda环境来解决.我相信Anaconda与您的计算机之间存在冲突,因为两者都认为他们正在控制您的新环境,因此在virtualenv中设置新环境似乎可以解决.
I was trying to solve a similar issue and solved this through virtualenv rather than using a conda environment. I believe there is a conflict between Anaconda and your machine in that both think they are controlling your new environment which setting up a new environment in virtualenv seemed to fix.
如果有帮助,这是使用virtualenv设置环境的方法.如果您还没有一个新环境,请为其创建一个位置:
If it's helpful, here's how to set up an environment using virtualenv. Create a location for your new environment if you don't have one already:
mkdir ~/virtualenvironment
设置虚拟环境:
virtualenv ~/virtualenvironment/niml/ --python=python3.6.5
激活您的环境:
source bin/activate
确保已安装所需的任何软件包:
Make sure that you've installed whatever packages you need:
pip install luigi
检查程序包是否可以在python中正确导入:
Check that the package imports properly in python:
python
import luigi
要停用:
source deactivate
这篇关于无法导入在新的Conda环境中安装的软件包的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!