AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |
Back to Blog
Install graphviz jupyter notebook3/17/2023 ![]() ![]() Open Anaconda - Terminal input instructions anaconda-navigator Stay Anaconda Created a virtual environment, choice python3.6 # I use method two ( shortcoming : Many packages need to be reinstalled in the virtual environment ) Method (2) Creating a virtual environment Method (1) hold conda Of python Version downgrade ( shortcoming : The version of some packages is too high, It needs to be reloaded ) conda install python=3.6.10 Tried in Anaconda It's installed inside, slowly ,Ĭhanging the download source is still slow ,Īccess to information graphviz Applicable to the highest version python3.6 Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.Ĭollecting package metadata (repodata.json): / - failed Solving environment: failed with initial frozen solve. Problem : Report errors ( Many similar installation instructions on the Internet change and go wrong as follows )Ĭollecting package metadata (current_repodata.json): done Then install graphviz $ conda install graphviz Recently engaged in machine learning ,jupyter notebook Draw a decision tree without packages graphviz. Heck, that could be done entirely in the browser without any server changes.First of all, introduce my environment ,ubuntu20.4 Anaconda3, But I agree, having a “download log” button would be swell. If you select some rows, Ctrl+Shift+C will copy the selection, as will Ctrl+Right Click to get the context menu. This is going to be faster/have better cache characteristics than apt.txt + requirements.txt… and have been verified to work by the conda-forge maintainers… and very possibly be faster at runtime because of compiler tuning. This would do one mamba solve (instead of apt's solver, then pip's solver, then invoking gcc). python-graphviz # this is the equivalent of pip's `graphviz` So a notional environment.yml would be: channels: usually, just jupyterlab or notebook are sufficient… and probably with a full minimum version so you don’t get… whatever is installed on binder (by mamba during the repo2docker build).basically never install jupyter, it brings in mountains of stuff (like qt) that will not improve your binder experience.like it or lump it, on MyBinder you’re already running in a conda environment, unless you write your own Dockerfile.all work on all of the conda-forge platforms (including windows and MacOS ARM/M1) out of the box… without invoking a compiler at install time.all of those packages are available on conda-forge.Is there anything I can do to persuade Binder to successfully compile this python module? Once the build process gets around to building pygraphviz, it fails saying: Building wheel for pygraphviz (setup.py): finished with status 'error'ĮRROR: Command errored out with exit status 1:įollowed by the log of the attempt to build pygraphviz …Įnding thus: error: command 'gcc' failed with exit status 1ĮRROR: Failed building wheel for pygraphviz For example: Collecting rdflib>=5.0.0ĭownloading rdflib-5.0.0-p圓-none-any.whl (231 kB) whl file like the other requirements are once found. However, I note that it is a zip file, not a. The build appears to successfully find and obtain pygraphviz Collecting pygraphviz-1.7 My naive reading of the “Build Logs” (which, frustratingly, can’t be copy/pasted or otherwise stored) suggests that the following are relevant lines: My requirements.txt file reads: rdflib>=5.0.0 Perhaps some more experienced folk know why Binder fails to build my repository of jupyter notebooks ![]()
0 Comments
Read More
Leave a Reply. |