Getting this error in my Jupyter Notebook
What would be the best way to fix this utilizing conda instead of pip
I've attempted conda upgrade --all and that didnt seem to work
The scipy.sparse.*_array functions were introduced with v1.8. The networkx package started requiring scipy >=1.8 with v2.7. So, either upgrade SciPy
conda install 'scipy>=1.8'
or downgrade NetworkX:
conda install 'networkx<2.7'
Part of the issue here is that, at the recommendation of a networkx developer, Conda Forge stopped explicitly requiring scipy as a dependency of networkx, and therefore there is no longer any constraint. I opened an issue on the feedstock to revisit coinstallation constraints (run_constrained specifications).
As mentioned in this Github comment, I was trying to calculate the page rank (networkx.pagerank) of a graph on Google Colab when I encountered the same error. After executing the following code, the issue was resolved for me:
!pip install --upgrade scipy networkx
A Side Note: pip install refers to installing packages and leave the package as-is if it is already installed. But the --upgrade flag instructs pip to uninstall anything which is being upgraded/replaced. For more info on this, refer this official doc.
I encountered similar error
I could solve it by installing these versions of newtorkx and scipy:
!pip install 'networkx<2.7'
!pip install 'scipy>=1.8'
Related
I have installed Anaconda 3 for Mac M1 and I am trying to create a new environment for R. However, everytime I try to do this, I am faced with the below error:
Conda Prompt Error Message
I am faced with this error irrespective of whether I try to do this in anaconda navigator or conda prompt. I have already tried removing Anaconda completely and reinstalling it again but to no avail. Is there anything I can do here?
Update: As requested, here is an additional screenshot:
Mamba install r-eesentials
Mamba install r-essentials output
[Disclosure: I am a volunteer on the Conda Forge R team.]
Conda users who want to use R should prioritize Conda Forge. The Anaconda company has not actively maintained R packages since v3.6.
If installing Conda for the first time, I recommend Miniforge variants (specifically, Mambaforge), rather than the Anaconda distributions (which prioritize defaults/anaconda channel).
Also note that osx-arm64 support for R through Conda is currently sparse. We are actively working on migrating, but for simplicity of workflow, I still recommend Conda users to install a osx-64 version of Conda and use that platform when installing R. You can always create native osx-arm64 environments when you actually need them (e.g., native TensorFlow with Metal support).
I am trying to install devstack on Ubuntu 18.04, using the guide in https://docs.openstack.org/devstack/latest/.
Installation fails with the error,
ERROR: Cannot install cinder because these package versions have conflicting dependencies.
The conflict is caused by:
oslo-vmware 3.9.1 depends on suds-jurko>=0.6
The user requested (constraint) suds-jurko===0.6
To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict
ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/user_guide/#fixing-conflicting-dependencies
I have 2 python versions on the machine
stack#stack:~/devstack$ which python
/usr/bin/python
stack#stack:~/devstack$ which python3
/usr/bin/python3
Am I missing something here?
Best Regards,
J
Just install setuptools 57.5.0
vim /opt/stack/requirements/upper-constraints.txt
like this:
#setuptools===58.2.0
setuptools===57.5.0
It works for me.
The issue is that suds-jurko is incompatible with the setuptools 58.0. You would need to downgrade to setuptools 57.5.0, e.g. pip install setuptools==57.5.0, but it's possible that devstack will upgrade it again.
The real solution is a set of upstream patches that are already in the works to fix this, but isn't merged yet (as of this post).
https://review.opendev.org/c/openstack/oslo.vmware/+/813377
I have this issue now, I cannot import STL from statsmodels. I've tried to uninstall statsmodels as it was recommended somewhere with a similar issue but it is not possible, at least the way I do it:
!pip uninstall statsmodels - NOT working.
It seems that the STL function from statsmodels is not included in the latest stable version of the library (0.10.2) but is in the dev version (0.11.0dev0).
You can build and install this specific version with this command: pip install git+https://github.com/statsmodels/statsmodels.git
For this you may need a c compiler if you don't already have one, everything is explained here: https://www.statsmodels.org/dev/install.html#installation-from-source
I've also found this package that seems promising: https://github.com/jrmontag/STLDecompose
Use this:
pip install statsmodels==0.12.1
I need openmdao on windows 8 to run an aerostructutal optimization code that uses it but I’m having issues in the installation process. I installed numpy and scipy through pip in the cmd and then also openmdao using pip install openmdao but when I try to run a .py with copied inside the code at the bottom of this page, I get an error about “Component” not being found to import. What am I doing wrong ?
Some codes are written for a specific version of OpenMDAO. If you are using OpenAeroStruct, it requires OpenMDAO 1.7.4, not OpenMDAO 2.2.x.
To obtain the correct version, you would need to use the command pip install openmdao==1.7.4 or to download and install the source directly from here: https://github.com/OpenMDAO/openmdao1, following the instructions on the README, not on readthedocs.
I already tried installing it with 'brew install pyqt' and the command did it's thing, but I still get an importing error.
You can try to follow this guide:
https://gist.github.com/guillaumevincent/10983814