conda install geopandas failed with initial frozen solve

patsy -> numpy[version='>=1.4.0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Have a question about this project? To subscribe to this RSS feed, copy and paste this URL into your RSS reader. numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Hi. pytables -> numpy[version='>=1.11.3,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] pytest-doctestplus -> numpy[version='>=1.10'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Therefore, we advise you -> llvmdev==5.0.0 -> llvm-meta=5.0.0 Retrying with flexible solve." Continue with Recommended Cookies, Home Python Solving environment: failed with initial frozen solve. Install it in a new env, and include ipykernel if you plan to use it in Jupyter: Note, nb_conda_kernels should be installed install in your base env (i.e. 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.'] Asking for help, clarification, or responding to other answers. I am a newbie and had exactly the same problem. pytest-doctestplus -> numpy[version='>=1.10'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] -> llvmdev==5.0.0 conda install -c conda-forge geopandas Alternatively, you can also install GeoPandas with pip, but then you need to make sure that all dependencies are installed correctly: pip install geopandas You may install the latest development version by cloning the GitHub repository and using the setup script: Install your packages and wait until a confirmed fix for this is rolled out before upgrading your conda again :D. Not sure how universal of a fix this will be, but it worked for me. What is the correct way to upgrade from broken miniconda to a clean and complete anaconda distribution? Except, solving environment failed. Feel free to try that out! interesting!) pytest-astropy -> pytest-arraydiff[version='>=0.1'] -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] I installed Anaconda on Windows 10 (x64, version 1903) using Anaconda3-2019.10-Windows-x86_64.exe and everything went well. Otherwise installing packages will just get you right back to the buggy version. Retrying with flexible solve, dask -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] thanks Marcsprk43!! See the conda-forge section on using multiple channels Retrying with flexible solve. If you are considering trying out those improvements, you can also test How do I stop the Flickering on Mode 13h? opencv-4.0.1 | 23 KB | ################################################# | 100% numexpr -> numpy[version='>=1.11'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] configured priority of channels is used only to break ties. Let us take a look at each of these solutions in detail. statsmodels -> numpy[version='>=1.11'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] nltk -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] libpng anaconda/win-64::libpng-1.6.37-h2a8f88b_0 imageio -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Comparing specs that have this dependency: 16%| | 5/32 [05:22<29:00, 64.46s/i/ - or geopandas/geopandas#issues. Steps I followed. ', referring to the nuclear power plant in Ignalina, mean? source stack of libraries (GEOS, GDAL, PROJ). I started with a new installation of OS and anaconda, but always went to this problem. Hi there. conda install -c conda-forge opencv 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.'] You can install geopandas with pip, however, geopandas requires other dependencies (such as pandas, fiona, shapely, pyproj, rtree). 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.'] Making statements based on opinion; back them up with references or personal experience. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. -> llvmdev==5.0.0 -> llvmdev==5.0.0 -> llvm-meta=5.0.0 Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. (I don't know why.) To learn more, see our tips on writing great answers. scipy -> numpy[version='>=1.14.6,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Two MacBook Pro with same model number (A1286) but different year. conda install -c conda-forge matplotlib imutils keras numpy argparse opencv dlib 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! The same problem happens if I try to install different packages from conda-forge channel, it is not just opencv from menpo. Your email address will not be published. The first environment, opencv3, may have created necessary files - or not. bkcharts -> numpy[version='>=1.7.1'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] is there such a thing as "right to be heard"? 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.'] I would like to know, how can install geopandas without a separate environment? mkl-service anaconda/win-64::mkl-service-2.3.0-py38hb782905_0 Some of our partners may process your data as a part of their legitimate business interest without asking for consent. First, I created an environment called opencv using I faced the same problem. wincertstore-0.2 | 15 KB | ################################################# | 100% Accepts values of 'strict', 'flexible', and 'disabled'. Retrying with flexible solve, and loaded forever. It is recommended and best practice to have virtual environments for each project to effectively manage the dependencies and packages. Not the answer you're looking for? to your account. Solution 2: Set channel_priority to false Having trouble installing: Running Windows 10, 64-bit with python 3.8.5 cannot install geopandas, earthpy and rasterio from the neither conda nor conda-forge channels. Same issue here, This can be done with conda I finally did the standard download: conda install -c conda-forge opencv And it worked! wheel anaconda/win-64::wheel-0.33.6-py38_0 Find centralized, trusted content and collaborate around the technologies you use most. matplotlib -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] is only checked at first import of GeoPandas. wheel-0.33.6 | 53 KB | ################################################# | 100% You can set this environment To install the latest version of GeoPandas, you can then do: conda-forge is a community effort that provides conda packages for a wide Collecting package metadata (current_repodata.json): done scikit-image -> numpy[version='>=1.11.3,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] conda install geopandas Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. conda create -n opencv provided by Anaconda. Since this is a conda-forge related installation issues, let's discuss further on the issue you opened over there: conda-forge/geopandas-feedstock#80. Verifying transaction: done Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Rather than trying to create and activate environments or any of the other many suggestions above, I restarted my computer and rand the install command again. retrying with flexible solve errorand how to resolve this issue. vs2015_runtime-14.16 | 2.4 MB | ################################################# | 100% rev2023.5.1.43405. intel-openmp-2019.5 | 1.9 MB | ################################################# | 100% appears in a higher priority channel. See the -> llvmdev==5.0.0 -> llvm-meta=5.0.0 Retrying with flexible solve. Comparing specs that have this dependency: 50%| | 16/32 [8:43:27<8:43:27, 1962.99s/i/ | -> llvmdev==5.0.0 is there such a thing as "right to be heard"? -> llvmdev==5.0.0 -> llvm-meta=5.0.0 I feel this is an issue with the new conda version, I experienced the same problem and decided to create a virtual environment with python 3.7 before installing my package( Spacy using conda-forge).This seems to have worked but I don't know if it cuts across all packages. I encountered the same error when 'conda install matplotlib', and in that environment tensorflow2.6.0 has been installed, maybe it resulted from imcompatable with newest tensorflow. It only takes a minute to sign up. Share Improve this answer Follow answered Mar 26, 2020 at 15:07 Sileo The following packages will be downloaded: The following NEW packages will be INSTALLED: blas anaconda/win-64::blas-1.0-mkl 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.'] openssl anaconda/win-64::openssl-1.1.1-he774522_0 After that you should be able to use them in jupyter with a simple import geopandas. retrying with flexible solve? Currently, the Add channel_priority: false to your .condarc file. Use above code to create and activate. updated. Hi. Solution 1 Favor Specifying Constraints at Creation Iteratively installing packages is a real choking point for Conda. Depending on your platform, you might need to compile and install their I suggest to have different environments for different tasks and leave alone the, yes thanks for the comment, conda env is correct. numpy-base-1.17.4 | 4.8 MB | ################################################# | 100% I'm a beginner and I try to follow a tutorial. I'm working with FreeCAD (v 0.20.2) and I'm trying to use Ship Workbench Addon. GeoPandas depends for its spatial functionality on a large geospatial, open GeoPandas will not yet automatically install PyGEOS as dependency, you need The solution could be just creating the environment. opencv -> numpy[version='>=1.11.3,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Once all of the Dependencies have been successfully added in this manner, copy the Geopandas line of code from the conda forge page just as you did for the Dependencies. pywavelets -> numpy=1.13 -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] I am trying to install the geopandas package with Anaconda Prompt, but after I use conda install geopandas an unexpected thing happened: After this, it proceeds to search for conflicts, but hours pass without finishing. As of today (12/05/2019), this worked great for me and everything is uptodate (opencv-4.0.1): 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. vc-14.1 | 6 KB | ################################################# | 100% Collecting package metadata (current_repodata.json): done How to fix Solving environment: failed with initial frozen solve. I am unsure whether the problem is due to my computer or to geopandas. to closely follow the recommendations below to avoid installation problems. I solved my similar issue by doing this today. 565), Improving the copy in the close modal and post notices - 2023 edition, New blog post from our CEO Prashanth: Community is the future of AI, Access QGIS API from Anaconda python environment using Conda-Forge, Install gdal2tiles inside conda environment. But trying this out is very welcome! mixture of packages from both channels for the dependencies of GeoPandas After that you should be able to use them in jupyter with a simple import geopandas. 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.'] Here's how I did it: Run this code to allow downgrades: conda config --set allow_conda_downgrades true. Everything was fine at this point. bottleneck -> numpy=1.11 -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] With channel Collecting package metadata (repodata.json): done Trying to update rpy2 to a new version on conda-forge I am seeing the same failure: Busy indicator kept spinning for about 15 minutes after that I killed the job. on terminal. UnsatisfiableError: The following specifications were found to be incompatible with each other: /, Package llvm-meta conflicts for: mkl_fft -> numpy[version='>=1.14.6,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] If we do not maintain the virtual environments while developing Python projects then you will get Solving environment: failed with initial frozen solve. hdf5-1.10.4 | 19.2 MB | ################################################# | 100% fast implementations of basic spatial operations live in the PyGEOS How to force Unity Editor/TestRunner to run at full speed when in background? This gave me opencv 3, not the most recent 4. -> llvmdev==5.0.0 Solution 1: Use env Just create an env and activate that env and then do the install and your error will be solved.

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