The solution could be just creating the environment. Take @ale152 's case for example. 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. This can be done with conda The conda version is 4.7.12. You actually should do stuff and packages installed in your environment. Note this variable pip anaconda/win-64::pip-19.3.1-py38_0 But maybe because there is no such solution now. Collecting package metadata (repodata.json): done I got the error again when I run conda install -c conda-forge argparse It seems the argparse package has the issue. the prerelease of Shapely instead. In -> llvmdev==5.0.0 -> llvm-meta=5.0.0 Step 1: Create a virtual environment using conda. 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: Retrying with flexible solve. anaconda is so difficult to use on linux. 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! 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.'] What's the function to find a city nearest to a given latitude? The solution could be just creating the environment. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. with read_file) after changing this value. appears in a higher priority channel. It gave the error: If commutes with all generators, then Casimir operator? Connect and share knowledge within a single location that is structured and easy to search. In my case the problem was also solved by downgrading. The output from trying to install geopandas: If needed, here are my configuration settings (I believe the error might be come from it): Thank you very much for your help! NOTE: I didn't have this problem on another computer; it may be since I've installed other python and likely pytools, Windows 10. `(base) PS C:\WINDOWS\system32> conda install -c conda-forge capytaine but not for Windows. numpy-1.17.4 | 5 KB | ################################################# | 100% 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. Some of the packages would be dependent on other packages, and it might do the changes by upgrading or downgrading them. conda install -c conda-forge opencv How is white allowed to castle 0-0-0 in this position? Two MacBook Pro with same model number (A1286) but different year. there might still be issues and not all functions of GeoPandas will other geospatial packages from different channels may cause dependency conflicts retrying with flexible solve. What positional accuracy (ie, arc seconds) is necessary to view Saturn, Uranus, beyond? I can confirm that Marcsprk43's instructions above (the long version at least - I did not try just creating the environment) work without issue. Have a question about this project? After that you should be able to use them in jupyter with a simple import geopandas. What is Solving environment: failed with initial frozen solve. blas -> openblas -> 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.'] It's not them. vc anaconda/win-64::vc-14.1-h0510ff6_4 hdf5 anaconda/win-64::hdf5-1.10.4-h7ebc959_0 patsy -> numpy[version='>=1.4.0'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] You need to make sure that they are properly installed. Downgrading conda and/or manually install offline package is sub-optimal as it will easily leave you with a broken environment. Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. conda create -n opencv If we had a video livestream of a clock being sent to Mars, what would we see? -> llvmdev==5.0.0 # 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 install -c conda-forge opencv Thank you guys, I've been struggling with GeoPandas for a while, How a top-ranked engineering school reimagined CS curriculum (Ep. conda install geopandas Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. (base) C:\Users\wayne>conda install -c conda-forge opencv But when using pip install instead of coda install, it just worked well without any problem, so weird. True is now an alias to 'flexible'. How is white allowed to castle 0-0-0 in this position? Solving environment: ' What is the best way to handle CRSs in Geopandas so that both versions <0.7 and >=0.7 are handled? numexpr -> numpy[version='>=1.11'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Retrying with flexible solve. pywavelets -> numpy=1.13 -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] which packages can be installed, in addition to the defaults channel Let me know when this works and if you need some good resources for how to use Geopandas. If your issue is related to installation using the conda-forge channel, please open an issue in geopandas-feedstock repository instead. -> llvmdev==5.0.0 -> llvm-meta=5.0.0 Retrying with flexible solve. I finally did the standard download: retrying with flexible solve errorand how to resolve this issue. Use above code to create and activate. There are multiple ways to fix the error. Retrying with flexible solve. This is a much safer way imo is to tell conda to have a look on the same package published in other channels should the default channel one is having unsolvable dependencies. -> llvmdev==5.0.0 -> llvm-meta=5.0.0 retrying with flexible solve? imageio -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] So, I tried to install capytaine myself. -> llvmdev==5.0.0 -> llvm-meta=5.0.0 to your account. I had the same issue with multiple packages after updating conda. Find centralized, trusted content and collaborate around the technologies you use most. 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.'] Same issue with the failed with initial frozen solve. He has core expertise in various technologies such as Microsoft .NET Core, Python, Node.JS, JavaScript, Cloud (Azure), RDBMS (MSSQL), React, Powershell, etc. I am sure the issue is with some incompatibility with the python version. 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. Step 1: Create a virtual environment using conda conda create --name myenv Step 2: Activate the virtual environment conda activate myenv Once you have activated the virtual environment, you can install packages inside the virtual environment and manage the dependencies. After that you should be able to use them in jupyter with a simple import geopandas. Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. -> llvmdev==5.0.0 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.'] Are there any canonical examples of the Prime Directive being broken that aren't shown on screen? Using conda (see above) avoids the need to compile the dependencies yourself. For plotting, these additional packages may be used: The upcoming Shapely 2.0 release will absorb all improvements from PyGEOS. py-opencv anaconda/win-64::py-opencv-4.0.1-py38he44ac1e_0 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.'] bokeh -> numpy[version='>=1.7.1'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] rev2023.5.1.43405. Cannot use Python on this PC :-(. to do this manually). Python 3.8.0 (default, Nov 6 2019, 16:00:02) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32 -> llvmdev==5.0.0 Comparing specs that have this dependency: 38%| | 12/32 [3:44:51<6:14:45, 1124.28s/i/ Have a question about this project? mixture of packages from both channels for the dependencies of GeoPandas although this variable can be set during an interactive session, it will opencv-4.0.1 | 23 KB | ################################################# | 100% To install GeoPandas and all its dependencies, we recommend to use the conda package manager. 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. So when making a new environment using anaconda navigator, when prompted with what language, ensure to select R. this solution works for me! By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. 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.'] I faced the same problem. Solving environment: failed with initial frozen solve. numpy-base anaconda/win-64::numpy-base-1.17.4-py38hc3f5095_0 The error is caused by conflicts between two packages. Currently, the 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.'] Got it to install by rolling conda back to 4.6.14 from 4.8.0. Package llvmdev conflicts for: fast implementations of basic spatial operations live in the PyGEOS channel_priority (ChannelPriority) Geographic Information Systems Stack Exchange is a question and answer site for cartographers, geographers and GIS professionals. If you would like to change your settings or withdraw consent at any time, the link to do so is in our privacy policy accessible from our home page.. You are trying to install in the base environment and there might be package version conflicts. Feel free to try that out! also using a cloned base doesn't work. Solver errors are unfortunately often nasty and not so easy to solve. 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. Solution 1: Create a virtual environment using conda, Solution 2: Set channel_priority to false, Solution 3: Upgrade conda to the latest version, dpkg: dependency problems prevent configuration in Ubuntu Linux (Solved), TypeError: str object does not support item assignment. imageio -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Sorts tied packages from highest to lowest channel priority. 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.'] -> llvmdev==5.0.0 the solver may reach into lower priority channels to fulfill Retrying . The following packages will be downloaded: The following NEW packages will be INSTALLED: blas anaconda/win-64::blas-1.0-mkl I encountered the same error when I tried to install multiple packages at once: six anaconda/win-64::six-1.13.0-py38_0 Steps I followed. I retried conda install -c conda-forge kedro and it worked. Executing transaction: done, ----------then I went to this folder:------------------ pytest-doctestplus -> numpy[version='>=1.10'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] conda install anaconda spyder=5.1.5. You need to make sure that they are properly installed. numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] Anaconda Distribution (a free Python distribution for data science), or 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.'] Unable to install geopandas in conda environment, Unable to install geopandas on Windows 10. openssl-1.1.1 | 5.7 MB | ################################################# | 100% How to fix Solving environment: failed with initial frozen solve. Is a downhill scooter lighter than a downhill MTB with same performance? 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.'] xz-5.2.4 | 812 KB | ################################################# | 100% pywavelets -> numpy=1.13 -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] https://github.com/capytaine/capytaine. Can I use my Coinbase address to receive bitcoin? I encountered the same problem trying to install opencv from conda-forge. My colleagues and I have experienced this issue with several other non-core packages, on both Linux and Windows machines. -> llvmdev==5.0.0 -> llvm-meta=5.0.0 pywavelets -> numpy=1.13 -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] For me the issue occurred on conda version 4.7.12 when creating a new environment.
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