一、下载minconda3
下载地址:https://docs.conda.io/en/latest/miniconda.html
一般国内访问比较困难,可到清华软件镜像站 Index of /anaconda/miniconda/ | 清华大学开源软件镜像站 | Tsinghua Open Source Mirror
需要特别注意自己的下载版本和自己的硬件一致,否则安装会出问题,下面以ubuntu 64位来说明安装过程。
先下载:Miniconda3-py38_22.11.1-1-Linux-x86_64.sh
注意,
1、需要是Miniconda3
2、pyXX表示python版本号。
3、Linux-x86_64表示是linux x86的64位机器。
二、安装miniconda3
bash Miniconda3-latest-Linux-x86_64.sh
最后一路回车,
接受license
如果是默认路径安装直接回车
在选择是否需要initiate的时候选择yes,默认是no。
选择yes之后,cat ~/.bashrc能看到最后加入了如下字段。
然后执行source .bashrc,表示直接使能环境变量。
三、离线创建python环境
查看已经创建的虚拟环境,刚开始只有base
conda env list
可以直接克隆base环境,来创建自己的环境
conda config --set offline true
conda create -n new_env --clone base
其中new_env应该替换为自己需要创建的环境名字。
四、激活虚拟环境
执行如下命令激活虚拟环境,需要注意new_env需要已经创建,通过conda env list可以查看到。
source activate new_env
#
# To activate this environment, use
#
# $ conda activate ykai
#
# To deactivate an active environment, use
#
# $ conda deactivate
五、安装第三方库
5.1 python pip 更改国内源
此方法为永久改变源,如果你需要的库,国内源没有的话,需要重置源为默认
清华源相关代码
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
其他源
豆瓣 https://pypi.doubanio.com/simple/
网易 https://mirrors.163.com/pypi/simple/
阿里云 https://mirrors.aliyun.com/pypi/simple/
腾讯云 https://mirrors.cloud.tencent.com/pypi/simple
清华大学 https://pypi.tuna.tsinghua.edu.cn/simple/
取消所有源,替换为默认
pip config unset global.index-url
5.2 pip3 install acuity出错
如果大家看到以下错误会怎么处理?
Building wheels for collected packages: ruamel.yamlBuilding wheel for ruamel.yaml (setup.py) ... errorerror: subprocess-exited-with-error× python setup.py bdist_wheel did not run successfully.│ exit code: 1╰─> [579 lines of output]sys.argv ['/tmp/pip-install-sqdifa38/ruamel-yaml_13238d60aed04f31841b95c554bebfe3/setup.py', 'bdist_wheel', '-d', '/tmp/pip-wheel-qci5d5wn']test compiling test_ruamel_yaml/home/ykai/miniconda3/envs/ykai/lib/python3.9/site-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'test_suite'warnings.warn(msg)/home/ykai/miniconda3/envs/ykai/lib/python3.9/site-packages/setuptools/dist.py:655: SetuptoolsDeprecationWarning: The namespace_packages parameter is deprecated.!!********************************************************************************Please replace its usage with implicit namespaces (PEP 420).See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages for details.********************************************************************************!!ep.load()(self, ep.name, value)ext/_ruamel_yaml.c: In function ‘PyInit__ruamel_yaml’:ext/_ruamel_yaml.c:25793:34: error: ‘PyTypeObject {aka struct _typeobject}’ has no member named ‘tp_print’; did you mean ‘tp_dict’?__pyx_type_12_ruamel_yaml_Mark.tp_print = 0;^~~~~~~~tp_dictext/_ruamel_yaml.c:25810:37: error: ‘PyTypeObject {aka struct _typeobject}’ has no member named ‘tp_print’; did you mean ‘tp_dict’?__pyx_type_12_ruamel_yaml_CParser.tp_print = 0;^~~~~~~~tp_dictext/_ruamel_yaml.c:25821:38: error: ‘PyTypeObject {aka struct _typeobject}’ has no member named ‘tp_print’; did you mean ‘tp_dict’?__pyx_type_12_ruamel_yaml_CEmitter.tp_print = 0;^~~~~~~~tp_dict/home/ykai/miniconda3/envs/ykai/include/python3.9/cpython/unicodeobject.h:446:26: note: declared herestatic inline Py_ssize_t _PyUnicode_get_wstr_length(PyObject *op) {^~~~~~~~~~~~~~~~~~~~~~~~~~error: command '/usr/bin/gcc' failed with exit code 1[end of output]note: This error originates from a subprocess, and is likely not a problem with pip.ERROR: Failed building wheel for ruamel.yamlRunning setup.py clean for ruamel.yaml
Failed to build ruamel.yaml
ERROR: ERROR: Failed to build installable wheels for some pyproject.toml based projects (ruamel.yaml)
一般都会以为是 error: command '/usr/bin/gcc' failed with exit code 1 或者error: subprocess-exited-with-error错误来处理,或者zipp-3.20.2-py3-none-any.whl安装错误来处理,其实都不是。
如果我们搜索的关键是 has no member named ‘tp_print’; did you mean ‘tp_dict’?就会发现:
从Python 3.9中的API中删除了tp_print方法.错误" 'tp_print':不是'_typeobject'的成员,表示代码是针对Python <= 3.8的,降级到Python 3.8,然后重试问题解决。
5.3 acuity执行出错
AttributeError: module 'numpy' has no attribute 'bool'.
这个问题是由于numpy的版本问题 1.22或者1.24都容易出现这个问题,所以我们需要将numpy换成1.23的版本,可以使用如下命令
pip3 install numpy==1.23.2
5.4 acuity执行出错
ModuleNotFoundError: No module named 'onnxoptimizer'解决方法:
pip3 install onnxoptimizer
参考: 解决 pip install 出现 error: subprocess-exited-with-error 错误的方法_pip install error: subprocess-exited-with-error-CSDN博客
五种方法解决subprocess-exited-with-error × python setup.py egg_info did not run successfully_python subprocess-exited-with-error-CSDN博客
python setup.py install安装setuptools,pip踩坑记录(下载,配置环境变量)-CSDN博客