This is a new anaconda3 installation on centos 7.9 and geopandas is not getting installed due to UnsatisfiableError.
$ conda --version is conda 4.13.0
$conda install geopandas
Collecting package metadata (current_repodata.json): done
Solving 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.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort. failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versionsThe following specifications were found to be incompatible with your system:
- feature:/linux-64::__glibc==2.17=0
- python=3.9 -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']
Your installed version is: 2.17
Any thoughts how to fix install geopandas?
I have the same issue here, same version of conda (4.13.0).
I re-installed anaconda from the latest available script (2022.05), same issue.
I resolved the problem by installing geopandas using
pip install geopandas
Related
I made a virtual environment called Python3613 (an older version of Python) to do some homework. Homework sadly only can work in this version. I tried to install Spyder on this environment, but it is stuck at the following:
(Python3613) C:\Users\ikim1>conda install spyder
Collecting package metadata (current_repodata.json): done
Solving 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.
Collecting package metadata (repodata.json): done
Solving environment: \
I have tried the code :
(Python3613) C:\Users\ikim1>conda config --set channel_priority strict
But I think i should specify channel priority is for the virtual environment.
anyways, How can I solve this stuck issue?
When I do conda install PyAudio, this error comes up in my terminal. My Python version is Python 3.10.7.
PS C:\Users\Admin\PycharmProjects\pythonProject2> conda --version
conda 4.12.0
PS C:\Users\Admin\PycharmProjects\pythonProject2> conda install PyAudio
Collecting package metadata (current_repodata.json): done
Solving 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.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abor|
failed
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- pyaudio -> python[version='>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.8,<3.9.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.5,<3.6.0a0']
Your python: python=3.9
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
I've been trying to install QIIME2 on Linux with the command
conda install -c qiime2 qiime2
and get this error message:
Collecting package metadata (current_repodata.json): done
Solving 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.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort. failed
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- qiime2 -> python[version='>=3.6,<3.7.0a0|>=3.8,<3.9.0a0']
Your python: python=3.9
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
The following specifications were found to be incompatible with your system:
- feature:/linux-64::__glibc==2.31=0
- feature:|#/linux-64::__glibc==2.31=0
Your installed version is: 2.31`
I even tried installing it another way using:
conda env create -n qiime2 --file qiime2.yml
and get another error:
Collecting package metadata (repodata.json): done
Solving environment: failed
ResolvePackageNotFound:
- libgfortran=4.0.0
- appnope=0.1.0
I'm very new to this so any help on how I could maybe solve this would be greatly appreciated.
Thanks!
./conda install -c anaconda appnope
./conda install -c anaconda libgfortran
I tried install graphviz package using pip install graphviz, and I succesfully import it in jupyter notebook with python3, but failed to run the code below:
s = Source.from_file("tree_test.dot")
s.view()
The tree_test.dot file is under the current working directory. The error message is:
ExecutableNotFound: failed to execute ['dot', '-Kdot', '-Tpdf', '-O', 'tree_test.dot'], make sure the Graphviz executables are on your systems' PATH
I was advised to uninstall graphviz first using pip uninstall graphviz and then tried conda install graphviz and conda install python-graphviz, respectively. But both of them failed to install graphviz and here is the error message :
Collecting package metadata (current_repodata.json): done
Solving 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.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: |
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
.....
#(spend long time examining conflict and shows what those conflicts are but still failed to install graphviz)#
According to Anaconda's package documentation, You need to type:
conda install -c anaconda graphviz
I am looking for help installing wand as a Conda newbie. I was successful installing and using wand outside of Conda on this machine. I am running ImageMagick-7.0.10-Q16-HDRI system-wide. When I run:
conda install -c conda-forge wand
or
conda install -c conda-forge/label/cf202003 wand
as recommended at conda forge, this is the result:
conda install -c conda-forge/label/cf202003 wand
Collecting package metadata (current_repodata.json): done
Solving 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.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: /
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versionsThe following specifications were found to be incompatible with your CUDA driver:
- feature:/win-64::__cuda==10.2=0
Your installed CUDA driver is: 10.2
It turns out that the conda error message is misleading. The wand package at conda-forge is in error. Instead I installed wand through pip:
conda install pip
pip install Wand