Conda install and update do not work also solving environment get errors

I started running in to this problem when one package suggested following modifications before installation

conda config --set channel_priority true

so I just reverted it and voila error's gone

conda config --set channel_priority false

I solved a similar problem by doing the following:

conda update --all --yes

You may downgrade to an older version of conda 4.6.14 and then install your packages.

conda config --set allow_conda_downgrades trueconda install conda=4.6.14

If your conda version is greater than or equal to 4.8, you may see that error.

(base) [localhost ~]$ conda --versionconda 4.8.2(base) [localhost ~]$ conda install -c anaconda requests-kerberosCollecting package metadata (current_repodata.json): doneSolving environment: failed with initial frozen solve. Retrying with flexible solve.Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.

Downgrade your conda if possible using the following commands

conda config --set allow_conda_downgrades trueconda install conda=4.6.14

Then create your virtual environment:

conda create --name myenv_conda

Then activate your myenv_conda

conda activate myenv_conda

Now try to install packages using conda -c install anaconda

eg: conda install -c conda requests-kerberosoutput:(myenv_conda) [localhost ~]$ conda install -c anaconda requests-kerberosCollecting package metadata: doneSolving environment: done............Preparing transaction: doneVerifying transaction: doneExecuting transaction: done

https://stackoverflow.com/a/61117831/7802476 helped me. Creating a new environment using the accepted answer didn't get my jupyter notebook to recognize the installed opencv. I could only import cv2 when I was in the environment on my terminal.

The fix was to use pip instead of conda, pip install opencv-python

I run into same problem while installing geopandas. The issue was gone after I upgraded to a newer version of Anaconda using:

conda update --prefix C:\apps\anaconda3 anaconda

Note: you'll have to modify the path C:\apps\anaconda3 pointing to your own installation directory.

Strangely, I did download Anaconda from the official homepage just a few hours ago and thought I had the newest version...

I had same problem but I solved because of SKİD.

After you create new env, You can run one of the codes in this link.

https://anaconda.org/rdkit/rdkit

I've generally had good results with conda and pip, but learned over time that environments really can get broken by unusual combinations of packages, and just starting a new env from scratch is often the only way forward. In my case it was tensorflow-gpu that wouldn't install from conda-forge, into an env I'd already been using for some weeks. The list of packages cited as being incompatible was in the dozens. I tried all the things listed on this page, but in the end I just hammered out a new env. Since I was deducing what packages I needed to install in the new env by running my program and installing one package at each error (ie instead of being methodical about listing my former env), along the way I reproduced this frozen solve thing several times. Each time it happened, I shuffled that conda package back to the initial conda create command and started again. Eventually my program ran in the new env, with tensorflow-gpu imported, and the root cause was revealed as conda installs which occur after pip installs. It wasn't anything to do with conda version or conda config.

A specific note for anyone using opencv-python, I ended up needing to install qt via conda, before attempting to install opencv-python via pip. That was a tricky one because it's a runtime error, and on stack overflow many of the solutions refer to various qt lib requirements which aren't part of python/conda and which I already had.

A further specific note. Some pip installs will roll back a version of a related package, thus breaking other conda-installed packages. In my case the example was a package called peakutils rolling back numpy, which then broke a from numpy import ma in scale.py module in the matplotlib package. My head is still spinning.

Create a new environment if your are not superuser, after that activate environment to install packages

Recommend to upgrade conda latest version.

conda install --quiet --yes conda=4.7.11 python -m pip install --upgrade pip==19.2.2