I got the error again when I run conda install -c conda-forge argparse It seems the argparse package has the issue. Why is it shorter than a normal address? pythonfailed with initial frozen solve By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. As far as I understand, my mistake was to install geopandas or pyproj with pip instead of conda. Retrying with flexible solve. Thank you guys, I've been struggling with GeoPandas for a while, How a top-ranked engineering school reimagined CS curriculum (Ep. Retrying with flexible solve. -> llvmdev==5.0.0 Here is the command line. Collecting package metadata (current_repodata.json): done (I don't know why.) To install GeoPandas and all its dependencies, we recommend to use the conda package manager. UnsatisfiableError: The following specifications were found to be incompatible with each other: /, Package llvm-meta conflicts for: Sign in installed correctly. Preparing transaction: done 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.'] What is this brick with a round back and a stud on the side used for? To create env Use this command. 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.'] -> llvmdev==5.0.0 -> llvm-meta=5.0.0 Share Improve this answer Follow answered Mar 26, 2020 at 15:07 Sileo -> llvmdev==5.0.0 -> llvm-meta=5.0.0 Scroll down, then copy and paste the first line of code (Example higlighted). We and our partners use data for Personalised ads and content, ad and content measurement, audience insights and product development. Take @ale152 's case for example. After that you should be able to use them in jupyter with a simple import geopandas. Click on the first Dependency name of the first row (Example: pandas - in green next to 1.3.1, below). Solution 1 Favor Specifying Constraints at Creation Iteratively installing packages is a real choking point for Conda. Looking for incompatible packages. Resolved by first creating an environment conda create -n kedro then activating it conda activate kedro. 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. PyData Sphinx Theme Srinivas Ramakrishna is a Solution Architect and has 14+ Years of Experience in the Software Industry. matplotlib -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] 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. there might still be issues and not all functions of GeoPandas will libtiff anaconda/win-64::libtiff-4.1.0-h56a325e_0 For me running conda uninstall jupter followed by conda install -c conda-forge geopandas worked. My colleagues and I have experienced this issue with several other non-core packages, on both Linux and Windows machines. 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. Parabolic, suborbital and ballistic trajectories all follow elliptic paths. -> llvmdev==5.0.0 -> llvm-meta=5.0.0 numexpr -> numpy[version='>=1.11'] -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> clangdev[version='5.0.0|5.0.0.'] For me the issue occurred on conda version 4.7.12 when creating a new environment. imageio -> numpy -> libflang[version='>=5.0.0'] -> openmp==5.0.0 -> llvm-meta[version='5.0.0|5.0.0.'] Some of the packages would be dependent on other packages, and it might do the changes by upgrading or downgrading them. -> llvmdev==5.0.0 Cannot update spyder=5.1.5 on new anaconda install conda install anaconda spyder=5.1.5. It provides the conda-forge package channel for conda from With channel Are there any canonical examples of the Prime Directive being broken that aren't shown on screen? He also rips off an arm to use as a sword. It only takes a minute to sign up. Connect and share knowledge within a single location that is structured and easy to search. channel, or everything from the conda-forge channel. Easily ran for over half an hour both times with CPU throttling the whole time. You signed in with another tab or window. 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.']