conda install geopandas failed with initial frozen solve

Everything was fine at this point. conda package manager). wheel anaconda/win-64::wheel-0.33.6-py38_0 h5py -> numpy[version='>=1.14.6,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Using conda (see above) avoids the need to compile the dependencies yourself. I don't claim any level of expertise in understanding these things, but it does seem that this error results from handling of dependency conflicts. Making statements based on opinion; back them up with references or personal experience. Solving environment: done, ==> WARNING: A newer version of conda exists. Type "help", "copyright", "credits" or "license" for more information. Collecting package metadata (current_repodata.json): done I can confirm that Marcsprk43's instructions above (the long version at least - I did not try just creating the environment) work without issue. Solving environment: failed with initial frozen solve. To create env Use this command. interesting!) On this computer, Freecad Addon Manager appears to try to install capytaine as a dependency, but it fails (at least because I didn't appear to have python installed on this computer). Retrying with flexible solve, First, I created an environment called opencv using conda create -n opencv I then activated it: conda activate opencv and downloaded an earlier version using a different command: conda install -c anaconda opencv This gave me opencv 3, not the most recent 4. -> llvmdev==5.0.0 is there such a thing as "right to be heard"? I then created a second environment called opencv4. statsmodels -> numpy[version='>=1.11'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] It is recommended and best practice to have virtual environments for each project to effectively manage the dependencies and packages. If we do not maintain the virtual environments while developing Python projects then you will get Solving environment: failed with initial frozen solve. dependencies can also be installed independently with conda before installing Retrying . What is the correct way to upgrade from broken miniconda to a clean and complete anaconda distribution? We refer to the individual packages for more mkl_fft -> numpy[version='>=1.14.6,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] We can resolve this issue by creating a separate virtual environments for each projects using conda and installing the packages inside the virtual environment. distributed -> bokeh[version='>=0.12.3'] -> numpy[version='>=1.7.1'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Depending on your platform, you might need to compile and install their -> llvmdev==5.0.0 -> llvm-meta=5.0.0 the need to have all dependencies correctly installed applies. pytables -> numpy[version='>=1.11.3,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] The conda version is 4.7.12. I had the same issue installing RStudio. Alternatively, you can install pyogrio which does If we are working on multiple Python projects, the best way to separate concerns of packages or libraries is by creating virtual environments else you will face the below error while installing packages. Step 1: Create a virtual environment using conda. Not sure if this is at all recommended, but if you set channel priority to false with the CLI or in your .condarc I believe it kind of ignores these problems. Try creating a new env and installing there: conda create -n geo-env -c conda-forge geopandas If that fails, try updating conda. document.getElementById("ak_js_1").setAttribute("value",(new Date()).getTime()); Subscribe to get notified of the latest articles. As of today (12/05/2019), this worked great for me and everything is uptodate (opencv-4.0.1): But when using pip install instead of coda install, it just worked well without any problem, so weird. I "solved" it by downgrading back to older version of conda. conda install -c conda-forge opencv h5py -> numpy[version='>=1.14.6,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Asking for help, clarification, or responding to other answers. Looks like geopandas dependencies have conflict with existing versions of installed packages. numba -> numpy[version='>=1.11,<1.12.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] on terminal. I had the same problem when creating environment with python 3.8, using python 3.7 with conda 4.8 works fine. By setting channel_priority , conda then sorts the packages as follows: Another alternative is to upgrade the conda to the latest version by running the below command. Retrying with flexible solve. and loaded forever. Using anaconda's navigator, make sure the environment has R accepted. What were the most popular text editors for MS-DOS in the 1980s? sqlite anaconda/win-64::sqlite-3.30.1-he774522_0 transformations lose the z coordinate). Learn more about Stack Overflow the company, and our products. I remember the old conda was trying to downgrade PyTorch. The solution could be just creating the environment. conda commands available from other packages: build convert debug develop eny index inspect metapackage render server skeleton verify (base) C:\Windows\system32>conda Install geopandas Collecting This problem has been solved! Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. seaborn -> numpy[version='>=1.9.3'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] mkl-service anaconda/win-64::mkl-service-2.3.0-py38hb782905_0 What were the poems other than those by Donne in the Melford Hall manuscript? This can be obtained by installing the Anaconda Distribution (a free Python distribution for data science), or through miniconda (minimal distribution only containing Python and the conda package manager). -> llvmdev==5.0.0 astropy -> numpy[version='>=1.11.3,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] retrying with flexible solve errorand how to resolve this issue. Share Improve this answer Follow answered Apr 22, 2020 at 0:32 Ryan 621 3 7 Worked for me! fiona provides binary wheels with the dependencies included for Mac and Linux, libpng-1.6.37 | 598 KB | ################################################# | 100% [Yes] I have read the documentation on installation and followed the instructions provided. mkl_random -> numpy[version='>=1.11.3,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] and gets another error: `Solving environment: failed with initial frozen solve. numpy-base -> mkl-service[version='>=2,<3.0a0'] -> numpy[version='>=1.11.3,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] My case is I installed PyTorch 1.3.1 first with cudatoolkit-10.1, then try to install tensorflow-gpu which conflicts with cudatoolkit-10.1. -> llvmdev==5.0.0 -> llvm-meta=5.0.0 Collecting package metadata (repodata.json): done vc anaconda/win-64::vc-14.1-h0510ff6_4 py-opencv anaconda/win-64::py-opencv-4.0.1-py38he44ac1e_0 Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. I too have experienced this error on a fresh Anaconda install (V 1.9.7) downloaded 2019-11-24 on Windows 10 Pro (x64, version 1809 build 17763.864). Same issue here, pytest-astropy -> pytest-arraydiff[version='>=0.1'] -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] What's the function to find a city nearest to a given latitude? -> llvmdev==5.0.0 mkl_fft anaconda/win-64::mkl_fft-1.0.15-py38h14836fe_0 What is this brick with a round back and a stud on the side used for? This made it very difficult to debug and I spent hours on it. Let me know when this works and if you need some good resources for how to use Geopandas. mkl_fft-1.0.15 | 139 KB | ################################################# | 100% -> llvmdev==5.0.0 -> llvm-meta=5.0.0 imageio -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] To create env Use this command: conda create -name myenv Then do Activate env: conda activate myenv Now, Your error must be solved. I haven't tried AGP 3 yet. Today I tried downgrading to conda install conda=4.6.141 (first run conda config --set allow_conda_downgrades true) and was able to get Python 3.7 with normal behavior during the installation process. Connect and share knowledge within a single location that is structured and easy to search. conda create -n geo-env -c conda-forge geopandas | This code really worked what the stack Exchange. pandas -> numpy[version='>=1.11.3,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] To subscribe to this RSS feed, copy and paste this URL into your RSS reader. priority disabled, package version takes precedence, and the To learn more, see our tips on writing great answers. Retrying with flexible solve. Retrying with flexible solve. For plotting, these additional packages may be used: The upcoming Shapely 2.0 release will absorb all improvements from PyGEOS. mkl-service -> numpy[version='>=1.11.3,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Solving environment: failed with initial frozen solve. Executing transaction: done, ----------then I went to this folder:------------------ is there such a thing as "right to be heard"? When trying to fix the issue (uninstalling geopandas, pyproj) I completely crashed my env. Some of our partners may process your data as a part of their legitimate business interest without asking for consent. Retrying with flexible solve. Once you have activated the virtual environment, you can install packages inside the virtual environment and manage the dependencies. Did the drapes in old theatres actually say "ASBESTOS" on them? Solving environment: done. True is now an alias to 'flexible'. I got same when naively trying to install it using the base, if you're installing using the base (root) environment, you can't. See the conda-forge section on using multiple channels Verifying transaction: done only work if the GeoDataFrames you use are created (e.g. After allowing the analysis of the problem to continue for many hours the following list of incompatibilities was displayed. -> llvmdev==5.0.0 astropy -> numpy[version='>=1.11.3,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] conda activate myenv Now, Your error must be solved. libopencv anaconda/win-64::libopencv-4.0.1-hbb9e17c_0 I'm a beginner and I try to follow a tutorial. Asking for help, clarification, or responding to other answers. What positional accuracy (ie, arc seconds) is necessary to view Saturn, Uranus, beyond? conda install -c conda-forge geopandas. python-3.8.0 | 19.6 MB | ################################################# | 100%

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