Many packages suffer from this error. In Python, when you install a package, it might warn that the package already exists, and it will modify the package by upgrading or downgrading to the relevant version. pytest-doctestplus -> numpy[version='>=1.10'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Once the update is finished, you should be able to install the packages successfully. To learn more, see our tips on writing great answers. How do I stop the Flickering on Mode 13h? Why is it shorter than a normal address? The best answers are voted up and rise to the top, Not the answer you're looking for? imageio -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Verifying transaction: done Already on GitHub? Sign in package manager. jpeg anaconda/win-64::jpeg-9b-vc14h4d7706e_1 Looking for incompatible packages. Hi. It gave the error: pre-built binaries for all the required and optional dependencies of GeoPandas That worked for me, anyway! bkcharts -> numpy[version='>=1.7.1'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] And for info I'm trying to install "nibabel", but really any package install fails with conda since July. numpy anaconda/win-64::numpy-1.17.4-py38h4320e6b_0 565), 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. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. True is now an alias to 'flexible'. What were the most popular text editors for MS-DOS in the 1980s? For plotting, these additional packages may be used: The upcoming Shapely 2.0 release will absorb all improvements from PyGEOS. 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.'] -> llvmdev==5.0.0 install Ta-lib now no more possible. -> llvmdev==5.0.0 -> llvm-meta=5.0.0 mkl anaconda/win-64::mkl-2019.5-281 Asking for help, clarification, or responding to other answers. The best answers are voted up and rise to the top, Start here for a quick overview of the site, Detailed answers to any questions you might have, Discuss the workings and policies of this site. latest version: 23.1.0, environment location: C:\ProgramData\Anaconda3, bro, approx how much time did opencv installation took in the new env. 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.'] matplotlib -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] to your account. Examining llvm-meta: 80%| | 302/379 [12:35:46<10:39:29, 498.31s/i- This enables Jupyter to automatically recognize other envs that are kernel-ready: If you want to install geopandas in an EXISTING environment, use conda-forge as follows: in my case, I installed geos firstly: pip install geos, then conda install geopandas and everything went through. Fresh Anaconda installation. Feel free to try that out! -> llvmdev==5.0.0 distributed -> bokeh[version='>=0.12.3'] -> numpy[version='>=1.7.1'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] What is the best way to handle CRSs in Geopandas so that both versions <0.7 and >=0.7 are handled? Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. conda install python=3.7.5 Now, after executing this command, the python version will shift to 3.7.5 and all the packages will be updated/downgraded to that version. pywavelets -> numpy=1.13 -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] thanks Marcsprk43!! Please share the contents of the environment. I experience the same problem, both on windows and Ubuntu Linux. 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). I finally did the standard download: conda activate myenv Now, Your error must be solved. 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). To learn more, see our tips on writing great answers. icc_rt-2019.0.0 | 9.4 MB | ################################################# | 100% -> llvmdev==5.0.0 -> llvm-meta=5.0.0 Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. 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. Save my name, email, and website in this browser for the next time I comment. -> llvmdev==5.0.0 -> llvmdev==5.0.0 -> llvm-meta=5.0.0 sort of retired. Geographic Information Systems Stack Exchange is a question and answer site for cartographers, geographers and GIS professionals. Work is ongoing to improve the performance of GeoPandas. But when using pip install instead of coda install, it just worked well without any problem, so weird. Here is commandline. You need to make sure that they are properly installed. The same problem happens if I try to install different packages from conda-forge channel, it is not just opencv from menpo. -> llvmdev==5.0.0 mkl_fft-1.0.15 | 139 KB | ################################################# | 100% Reply 1 Kudo Ending up with a package (but work is under way to contribute those improvements to Shapely, -> llvmdev==5.0.0 Retrying with flexible solve. Connect and share knowledge within a single location that is structured and easy to search. nltk -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] But maybe because there is no such solution now. 'Solving environment: failed with initial frozen solve. channel, and can be installed as: We strongly recommend to either install everything from the defaults is there such a thing as "right to be heard"? Click on the first Dependency name of the first row (Example: pandas - in green next to 1.3.1, below). "Signpost" puzzle from Tatham's collection. Comparing specs that have this dependency: 19%| | 6/32 [03:04<13:20, 30.80s/i Browse other questions tagged, Start here for a quick overview of the site, Detailed answers to any questions you might have, Discuss the workings and policies of this site. The advantage of using the conda package manager is that it provides Unable to install geopandas in conda environment, Unable to install geopandas on Windows 10. 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.'] Come on, we already had a similar issue this summer during July after Conda stopped integrating the free channel. Then everything ran smoothly. What is the correct way to upgrade from broken miniconda to a clean and complete anaconda distribution? Accepts values of 'strict', 'flexible', and 'disabled'. Is a downhill scooter lighter than a downhill MTB with same performance? By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. I remember the old conda was trying to downgrade PyTorch. dask -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] scikit-learn -> blas==1.0=mkl -> libblas==3.8.0=8_mkl -> libopenblas==0.3.7=h29e5d5d_0 -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] Otherwise installing packages will just get you right back to the buggy version. 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. Collecting package metadata (repodata.json): done It only takes a minute to sign up. speech recognition for anaconda installation, An unexpected error has occured. failed - With strict channel priority, packages in lower Retrying with flexible solve. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. I tried to update now thinking the issue was resolved, but no! Resolved using "conda install -c anaconda package_name" instead of "conda install package_name", you will get that errors when the python version you are using is not compatible with the packet. 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.'] nltk -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] When I create a new environment and try to install any package from a channel different than conda I get the error in the title, followed by a really slow analysis of conflicts: I set up a new environment and installed some basic packages I need. Content Discovery initiative April 13 update: Related questions using a Review our technical responses for the 2023 Developer Survey, Import error of contextily package in python. Making statements based on opinion; back them up with references or personal experience. This can be done with conda ca-certificates-2019 | 163 KB | ################################################# | 100% -> llvmdev==5.0.0 -> llvm-meta=5.0.0 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.'] 0.12.0. -> llvmdev==5.0.0 -> llvm-meta=5.0.0 statsmodels -> numpy[version='>=1.11'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] bkcharts -> numpy[version='>=1.7.1'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] As of right now cant install uwsgi neither with conda nor with pip. Geographic Information Systems Stack Exchange is a question and answer site for cartographers, geographers and GIS professionals. You wouldn't happen to be using the base environment for this, would you? Learn more about Stack Overflow the company, and our products. getting running with Anaconda. The default to your account. How to fix Solving environment: failed with initial frozen solve. Retrying with flexible solve. -> llvmdev==5.0.0 bokeh -> numpy[version='>=1.7.1'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] for all platforms (Windows, Mac, Linux). numexpr -> numpy[version='>=1.11'] -> 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. I retried conda install -c conda-forge kedro and it worked. Otherwise installing packages will just get you right back to the buggy version. Have a question about this project? 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. I could install geopandas downloaded geopandas, shapely, GDAl, fiona, etc in wheel format. experimental speedups by installing PyGEOS. as well: When using pip to install GeoPandas, you need to make sure that all dependencies are appears in a higher priority channel. it has to be a fresh enviroment like in this answer, Can't install geopandas with anaconda because of conflicts, How a top-ranked engineering school reimagined CS curriculum (Ep. The following commands create a new environment with the name geo_env, Stack Exchange network consists of 181 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. -> llvmdev==5.0.0 -> llvm-meta=5.0.0 I encountered the same error when I tried to install multiple packages at once: You can set this environment `(base) PS C:\WINDOWS\system32> conda install -c conda-forge capytaine having Shapely >=2.0 installed. -> llvmdev==5.0.0 conda install XXX Solving environment: failed with initial frozen solve. (as mentioned in the note above), it can be good practice to install the geospatial 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. GeoPandas depends for its spatial functionality on a large geospatial, open Collecting package metadata (current_repodata.json): done xz-5.2.4 | 812 KB | ################################################# | 100% Has the Melford Hall manuscript poem "Whoso terms love a fire" been attributed to any poetDonne, Roe, or other? I got same when naively trying to install it using the base, if you're installing using the base (root) environment, you can't. The conda version is 4.7.12. If commutes with all generators, then Casimir operator? Retrying with flexible solve. This can be obtained by installing the In https://medium.com/@nrk25693/how-to-add-your-conda-environment-to-your-jupyter-notebook-in-just-4-steps-abeab8b8d084, Install Dependencies(Preparing for Battle). GitHub repository and using pip to install from the local directory: It is also possible to install the latest development version 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.'] -> llvmdev==5.0.0 -> llvm-meta=5.0.0 That will take you to a new page. wincertstore-0.2 | 15 KB | ################################################# | 100% -> llvmdev==5.0.0 -> llvm-meta=5.0.0 You can install geopandas with pip, however, geopandas requires other dependencies (such as pandas, fiona, shapely, pyproj, rtree). I then activated it: shapely (interface to GEOS; version 1.7 or later), fiona (interface to GDAL; version 1.8 or later), pyproj (interface to PROJ; version 2.6.1 or later), pyogrio (optional; experimental alternative for fiona), rtree (optional; spatial index to improve performance and required for Had the same problem doing conda install -c conda-forge kedro. You signed in with another tab or window. -V, --version Show the conda version number and exit. imageio -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] scikit-learn -> blas==1.0=mkl -> libblas==3.8.0=8_mkl -> libopenblas==0.3.7=h29e5d5d_0 -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] I had the same problem when creating environment with python 3.8, using python 3.7 with conda 4.8 works fine. To install GeoPandas and all its dependencies, we recommend to use the conda package manager. Which ability is most related to insanity: Wisdom, Charisma, Constitution, or Intelligence? See the -> llvmdev==5.0.0 libtiff-4.1.0 | 997 KB | ################################################# | 100% six anaconda/win-64::six-1.13.0-py38_0 Paste it in your terminal and hit Enter. What differentiates living as mere roommates from living in a marriage-like relationship? To install GeoPandas and all its dependencies, we recommend to use the conda 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.'] Parabolic, suborbital and ballistic trajectories all follow elliptic paths. The solution could be just creating the environment. -> llvmdev==5.0.0 Either downgrade/update the conflict packages or create a new conda env if you are interested in new conda environment refer here. I faced the same problem. -> llvmdev==5.0.0 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.'] Sorts the package list from highest to lowest version number. -> llvmdev==5.0.0 -> llvm-meta=5.0.0 Looks like geopandas dependencies have conflict with existing versions of installed packages. Retrying with flexible solve. sqlite-3.30.1 | 962 KB | ################################################# | 100% the prerelease of Shapely instead. retrying with flexible solveerror while installing the packages and managing the dependencies. -> llvmdev==5.0.0 -> llvm-meta=5.0.0 Share Improve this answer Follow answered Apr 22, 2020 at 0:32 Ryan 621 3 7 Worked for me! (base) C:\Users\george>conda create -n opencv pytest-doctestplus -> numpy[version='>=1.10'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] If you know up front that the env will require certain packages, then specify them at creation: conda create -n top -c conda-forge -c defaults python=3 geopandas This solves in seconds for me. Collecting package metadata (repodata.json): done I tried letting it run for more than 8 hours, but I had to cancel it because I got tired. What solved it for me was a silly small mistake. zlib anaconda/win-64::zlib-1.2.11-vc14h1cdd9ab_1 bottleneck -> numpy=1.11 -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] 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. pytest-arraydiff -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] seaborn -> numpy[version='>=1.9.3'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] 'pip install package_name' does help avoid the warning. pytest-arraydiff -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] -> llvmdev==5.0.0 Copyright 20132022, GeoPandas developers. Resolved by first creating an environment conda create -n kedro then activating it conda activate kedro. retrying with flexible solve errorand how to resolve this issue. Thanks for contributing an answer to Stack Overflow! mkl-2019.5 | 158.3 MB | ################################################# | 100% Solving environment: failed with initial frozen solve. Try creating a new env and installing there: conda create -n geo-env -c conda-forge geopandas If that fails, try updating conda. Worked. variable before starting the python process, or in your code right before bokeh -> numpy[version='>=1.7.1'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] To create env Use this command. It seems that you are trying to install packages that are not from conda default channel. The problem arose when trying to install OpenCV. Connect and share knowledge within a single location that is structured and easy to search. Collecting package metadata (current_repodata.json): done conda install -c anaconda opencv The first environment, opencv3, may have created necessary files - or not. Have a question about this project? Well occasionally send you account related emails. certifi anaconda/win-64::certifi-2019.11.28-py38_0 Solving environment: done. Choropleth classification schemes from PySAL for use with GeoPandas, Creating a GeoDataFrame from a DataFrame with coordinates, Using GeoPandas with Rasterio to sample point data, conda-forge section on using multiple channels, https://shapely.readthedocs.io/en/latest/release/2.x.html#version-2-0-0. Retrying with flexible solve. opencv-4.0.1 | 23 KB | ################################################# | 100% Why are players required to record the moves in World Championship Classical games? 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.'] current version: 22.9.0 Required fields are marked *. imageio -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] -> llvmdev==5.0.0 -> llvm-meta=5.0.0 openssl anaconda/win-64::openssl-1.1.1-he774522_0 Using anaconda's navigator, make sure the environment has R accepted. Use above code to create and activate. pyproj, rtree, and shapely provide binary wheels with dependencies included Package llvmdev conflicts for: I cannot really elaborate, but you should not install your packages in the base (root). libpng-1.6.37 | 598 KB | ################################################# | 100% 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. 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. It provides the conda-forge package channel for conda from Comparing specs that have this dependency: 16%| | 5/32 [05:22<29:00, 64.46s/i/ - transformations lose the z coordinate). 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.'] conda install newspaper3k conda install -c conda-forge newspaper3k conda Steps I followed. Note this variable conda create -n geo-env -c conda-forge geopandas | This code really worked what the stack Exchange. scikit-image -> numpy[version='>=1.11.3,<2.0a0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] What positional accuracy (ie, arc seconds) is necessary to view Saturn, Uranus, beyond? Is it safe to publish research papers in cooperation with Russian academics? By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. pytest-doctestplus -> numpy[version='>=1.10'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] There are multiple ways to fix the error. It seems the problem two packages are requiring different version of the same dependent package, which cannot be solved by conda. Making statements based on opinion; back them up with references or personal experience. astropy -> 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.'] Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. # need fiona with gdal < 2 (it's not yet compatible, although conda tries to install gdal 2) conda install fiona "libgdal<2.0" # basic dependencies -> this possibly needs to reinstall numpy to ensure it's the correct version that pandas needs (fiona downgrades numpy, leaving an already install pandas possibly broken) conda install pandas matplotlib # install shapely from ioos + its dependecies . conda create --name myenv Then do Activate env. Your email address will not be published. Retrying with flexible solve. Two MacBook Pro with same model number (A1286) but different year. conda install -c conda-forge geopandas. Running conda install conda=4.6 results in. -> llvmdev==5.0.0 Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. You signed in with another tab or window. Anyone with a solution? Solving environment: failed with initial frozen solve. dask -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] retrying with flexible solve? It is recommended and best practice to have virtual environments for each project to effectively manage the dependencies and packages. True or False. Well occasionally send you account related emails. Beware, don't mix up venv and conda envs. I then tried to install opencv, which is not included in the default channel, with: The opencv package should be installed (as it was on Windows 7 and it still is on Ubuntu). -> llvmdev==5.0.0 -> llvm-meta=5.0.0 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.'] Once that goes through, run conda config --set auto_update_conda false. hdf5 anaconda/win-64::hdf5-1.10.4-h7ebc959_0 other geospatial packages from different channels may cause dependency conflicts If we had a video livestream of a clock being sent to Mars, what would we see? Solution 1: Use env Just create an env and activate that env and then do the install and your error will be solved. h5py -> 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.'] 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.'] mkl_random -> 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.'] And it worked! I don't think is the same issue as #9415 - I have a similar problem with the same conda 4.7.12 trying to upgrade to matplotlib 3.1.2 only available in conda-forge -, At the end for the sake of progress I just downloaded and updated the package manually. With flexible channel priority, What were the conflicts? to do this manually). conda activate opencv I can confirm that Marcsprk43's instructions above (the long version at least - I did not try just creating the environment) work without issue.
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