我使用pipenv
命令在我的Python虚拟环境中安装软件包。
我需要更新的pandas
版本。所以我成功安装了它:
pipenv install pandas~=1.0
然后我安装了Apache Beam:
pipenv install apache-beam[gcp,test]
这安装了Apache Beam,但给了我一个错误:
[pipenv.exceptions.ResolutionFailure]: Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
First try clearing your dependency cache with $ pipenv lock --clear, then try the original command again.
Alternatively, you can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
Hint: try $ pipenv lock --pre if it is a pre-release dependency.
ERROR: ERROR: Could not find a version that matches pandas<0.25,>=0.23.4,~=1.0
...
There are incompatible versions in the resolved dependencies.
并且将我的pandas
版本降级为0.24.2
,这不支持我需要的功能。
如何解决此问题?
谢谢
答案 0 :(得分:0)
尝试手动安装:
将熊猫升级到1.0
复制pandas文件夹和pandas-dist文件夹
安装所需的其他模块
将文件夹粘贴回modules文件夹中
如果您是从python网站下载的,则您的模块文件夹应该位于此处
C:\Users\<user>\AppData\Local\Programs\Python\Python<version>\Lib\site-packages
或者如果您是从Microsoft商店下载的,则在这里
C:\Users\<user>\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8\LocalCache\local-packages\Python38\site-packages
答案 1 :(得分:0)
尝试通过运行以下命令清除锁定文件中的缓存:
/**
* @Route("/admin/{slug}/{action}/{id}", name="{slug}_{action}")
*/
public function delete(CourtsRepository $courtsRepository,
DomainsRepository $domainsRepository,
Request $request, $slug, $action, $id)
{
/*
* Get the repos for edit or delete update
* Check if the action is edit to get the execute query
*/
switch ($slug) {
case 'courts':
$repos = $this->getDoctrine()->getRepository(Courts::class);
$form = ($action == "edit") ? $this->createForm(ACategoriesFormType::class, $courtsRepository->find($id)) : false;
break;
case 'domains':
$repos = $this->getDoctrine()->getRepository(Domains::class);
$form = ($action == "edit") ? $this->createForm(ACategoriesFormType::class, $domainsRepository->find($id)): false;
break;
default:
// will redirect to admin page if user try to bypass by url with bad slug
return $this->redirectToRoute('admin');
break;
}
}
看看以后是否可以安装它。
如果出现错误,请尝试:
$ pipenv lock --pre --clear