pip-script. py‘ is not present Verifying transaction: failed

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pip-script.py' is not present

Verifying transaction: failed

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Two mistakes ：

pip install numpy Report errors ：

pip-script.py' is not present

resolvent :

conda install pip, But this one is wrong again ：

Verifying transaction: failed

A successful solution ：

conda update --force conda
Interested in the following search process

Conda Appears when updating or installing packages Verifying transaction: failed+RemoveError Solutions for _ soil Bo Mouse blog -CSDN Blog

For convenience , Want to use conda install nb_conda To make the jupyter notebook or jupyter lab Automatically generate data corresponding to all virtual environments Kernal.

conda install nb_conda
lo , Lazy people don't make it , Installation failed , Display at the end ：

Proceed ([y]/n)? y
 
Preparing transaction: done
Verifying transaction: failed
 
RemoveError: 'requests' is a dependency of conda and cannot be removed from
conda's operating environment.
RemoveError: 'setuptools' is a dependency of conda and cannot be removed from
conda's operating environment.
It means that some libraries cannot be deleted , At this time, the following method can bypass this problem ： Execute in turn in each virtual environment ：

conda install ipykernel
python -m ipykernel install --name my( The name in the folder ) --display-name my( Want to be in jupyter The display name )
This adds cores , stay C:\ProgramData\jupyter\kernels( See the instructions when adding cores ) You can actually see the details of all the cores you added in the path .

But I'm not lazy or not satisfied ！ Continue to solve RemoveError The problem of , Until I found Github Discuss , There was a heated discussion , The main problem is that conda Update ：

conda update conda
But in base There will still be mistakes in , Still show RemoveError, See again that you want to exit all virtual environments and update again , Use the following command ：

conda deactivate
conda update conda
Still not , The problem remains. . Last ！ See this savior :

Use ：（ Be careful ！ Be sure to go back to base Environmental execution , Otherwise .... Just look at this blog to solve it ：anaconda The installation environment encountered a failure to locate the program input point OPENSSL_sk_new_reserve…… problem ）

conda update --force conda
Successful update conda！ thus , Enter again base Environment do what you want to do ！

about conda install nb_conda I have something else to say , Because there are still problems after implementation , Still not lazy ！

After execution jupyter lab Not all virtual environments are automatically recognized ,jupyter notebook There are also problems , It's really worrying ！ Finally, it shows some of this ：

This corresponds to another blog , He gave the solution ：jupyter-lab distinguish anaconda A virtual environment

# First
conda install nb_conda ipykernel
# After activating an environment, run the following command
python -m ipykernel install --name my( The name in the folder ) --display-name my( Want to be in jupyter The display name )
Is it familiar ... The last is to save in every environment install ipykernal Steps for （ But I still need to install one by one kernal As if , Maybe he is in the overall situation conda install Of ）. ah , Let's do it one by one honestly .

Execute in turn in each virtual environment ：

conda install ipykernel
python -m ipykernel install --name my( The name in the folder ) --display-name my( Want to be in jupyter The display name )
Verify that the addition was successful , You can view... Through the following command ：

jupyter kernelspec list
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Copyright notice ： This paper is about CSDN Blogger 「 soil Bo rat 」 The original article of , follow CC 4.0 BY-SA Copyright agreement , For reprint, please attach the original source link and this statement .
Link to the original text ：https://blog.csdn.net/weixin_38634125/article/details/106483214