在python中安装numpy的问题

Question

我尝试在命令行中使用

pip install numpy

和科曼德一起

pip3 install numpy

它们都输出了相同的长错误消息，跨越了很多行，而我似乎无法在其他任何地方找到解决方案。也是的，我运行了pip show numpy，它输出没有找到模块

我无法显示整个错误消息，或者堆栈溢出将不允许发送它，但这里有一些错误消息

DEPRECATION: The -b/--build/--build-dir/--build-directory option is deprecated. pip 20.3 will remove support for this functionality. A possible replacement is use the TMPDIR/TEMP/TMP environment variable, possibly combined with --no-clean. You can find discussion regarding this at https://github.com/pypa/pip/issues/8333.
ERROR: Command errored out with exit status 1:
 command: 'C:\Users\Logan\AppData\Local\Programs\Python\Python39\python.exe' 'C:\Users\Logan\AppData\Local\Programs\Python\Python39\lib\site-packages\pip\_vendor\pep517\_in_process.py' prepare_metadata_for_build_wheel 'C:\Users\Logan\AppData\Local\Temp\tmpt96cv69x'
     cwd: C:\Users\Logan\AppData\Local\Temp\pycharm-packaging\numpy

几项更新： 首先，我使用的是python版本3.9.0

其次，我不能添加整个错误消息，因为堆栈溢出将不允许发布问题，但是我可以显示一些错误消息，我觉得这些消息对这个问题很重要

第三，如果没有办法纠正这个问题，有人能告诉我是否可以在不使用cmd提示符的情况下手动安装python模块

最后，似乎只有numpy受到了影响，因为我仍然能够毫无问题地安装其他python模块。由于某些原因，在控制盘元数据部分，它给出了错误

下面是更多的错误消息

ERROR: Command errored out with exit status 1: 'c:\users\logan\appdata\local\programs\python\python39\python.exe' 'c:\users\logan\appdata\local\programs\python\python39\lib\site-packages\pip\_vendor\pep517\_in_process.py' prepare_metadata_for_build_wheel 'C:\Users\Logan\AppData\Local\Temp\tmpwyokpy44' Check the logs for full command output.

Answer 1

我认为这是python3.9的问题，NumPy还没有为python3.9版本准备好二进制轮子

查看2020年9月14日numpy网站上的注释here

Sept 14, 2020 – Python 3.9 will be released in a few weeks. If you are an early adopter of Python versions, you may be disappointed to find that NumPy (and other binary packages like SciPy) will not have binary wheels ready on the day of the release. It is a major effort to adapt the build infrastructure to a new Python version and it typically takes a few weeks for the packages to appear on PyPI and conda-forge. In preparation for this event, please make sure to

在解决此问题之前，建议先降级到3.8