Installing geopandas using Conda or Anaconda Navigator doesn't work

[ahmadsadeed]

Issue: I have tried multiple ways but can't install geopandas package. I tried geopandas install guide, but get output that runs forever. I tried without creating an environment, after creating a new environment, using defaults channel and using conda-forge channel. None worked. I tried removing anaconda completely and reinstalled.

$ conda create -n top 
$ conda activate top
$ conda config --env --add channels conda-forge
$ conda config --env --set channel_priority strict
$ conda install python=3 geopandas

Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: \ 

I don't want to use pip install because it is preferred to use conda install. Also I tried installing using Anaconda Navigator following this answer, but the progress bar keeps running saying solving package specifications.

Environment (conda list):

``` $ conda list # packages in environment at /Users/sadeed/opt/anaconda3/envs/top: # # Name Version Build Channel _ipyw_jlab_nb_ext_conf 0.1.0 py37_0 alabaster 0.7.12 py37_0 anaconda 2020.02 py37_0 anaconda-client 1.7.2 py37_0 anaconda-navigator 1.9.12 py37_0 anaconda-project 0.8.4 py_0 applaunchservices 0.2.1 py_0 appnope 0.1.0 py37_0 appscript 1.1.0 py37h1de35cc_0 argh 0.26.2 py37_0 asn1crypto 1.3.0 py37_0 astroid 2.3.3 py37_0 astropy 4.0 py37h1de35cc_0 atomicwrites 1.3.0 py37_1 attrs 19.3.0 py_0 autopep8 1.4.4 py_0 babel 2.8.0 py_0 backcall 0.1.0 py37_0 backports 1.0 py_2 backports.functools_lru_cache 1.6.1 py_0 backports.shutil_get_terminal_size 1.0.0 py37_2 backports.tempfile 1.0 py_1 backports.weakref 1.0.post1 py_1 beautifulsoup4 4.8.2 py37_0 bitarray 1.2.1 py37h1de35cc_0 bkcharts 0.2 py37_0 blas 1.0 mkl bleach 3.1.0 py37_0 blosc 1.16.3 hd9629dc_0 bokeh 1.4.0 py37_0 boto 2.49.0 py37_0 bottleneck 1.3.2 py37h776bbcc_0 bzip2 1.0.8 h1de35cc_0 ca-certificates 2020.1.1 0 certifi 2019.11.28 py37_0 cffi 1.14.0 py37hb5b8e2f_0 chardet 3.0.4 py37_1003 click 7.0 py37_0 cloudpickle 1.3.0 py_0 clyent 1.2.2 py37_1 colorama 0.4.3 py_0 conda-package-handling 1.6.0 py37h1de35cc_0 conda-verify 3.4.2 py_1 contextlib2 0.6.0.post1 py_0 cryptography 2.8 py37ha12b0ac_0 curl 7.68.0 ha441bb4_0 cycler 0.10.0 py37_0 cython 0.29.15 py37h0a44026_0 cytoolz 0.10.1 py37h1de35cc_0 dask 2.11.0 py_0 dask-core 2.11.0 py_0 dbus 1.13.12 h90a0687_0 decorator 4.4.1 py_0 defusedxml 0.6.0 py_0 diff-match-patch 20181111 py_0 distributed 2.11.0 py37_0 docutils 0.16 py37_0 entrypoints 0.3 py37_0 et_xmlfile 1.0.1 py37_0 expat 2.2.6 h0a44026_0 fastcache 1.1.0 py37h1de35cc_0 filelock 3.0.12 py_0 flake8 3.7.9 py37_0 flask 1.1.1 py_0 freetype 2.9.1 hb4e5f40_0 fsspec 0.6.2 py_0 future 0.18.2 py37_0 get_terminal_size 1.0.0 h7520d66_0 gettext 0.19.8.1 h15daf44_3 gevent 1.4.0 py37h1de35cc_0 glib 2.63.1 hd977a24_0 glob2 0.7 py_0 gmp 6.1.2 hb37e062_1 gmpy2 2.0.8 py37h6ef4df4_2 greenlet 0.4.15 py37h1de35cc_0 h5py 2.10.0 py37h3134771_0 hdf5 1.10.4 hfa1e0ec_0 heapdict 1.0.1 py_0 html5lib 1.0.1 py37_0 hypothesis 5.5.4 py_0 icu 58.2 h4b95b61_1 idna 2.8 py37_0 imageio 2.6.1 py37_0 imagesize 1.2.0 py_0 importlib_metadata 1.5.0 py37_0 intel-openmp 2019.4 233 intervaltree 3.0.2 py_0 ipykernel 5.1.4 py37h39e3cac_0 ipython 7.12.0 py37h5ca1d4c_0 ipython_genutils 0.2.0 py37_0 ipywidgets 7.5.1 py_0 isort 4.3.21 py37_0 itsdangerous 1.1.0 py37_0 jbig 2.1 h4d881f8_0 jdcal 1.4.1 py_0 jedi 0.14.1 py37_0 jinja2 2.11.1 py_0 joblib 0.14.1 py_0 jpeg 9b he5867d9_2 json5 0.9.1 py_0 jsonschema 3.2.0 py37_0 jupyter 1.0.0 py37_7 jupyter_client 5.3.4 py37_0 jupyter_console 6.1.0 py_0 jupyter_core 4.6.1 py37_0 jupyterlab 1.2.6 pyhf63ae98_0 jupyterlab_server 1.0.6 py_0 keyring 21.1.0 py37_0 kiwisolver 1.1.0 py37h0a44026_0 krb5 1.17.1 hddcf347_0 lazy-object-proxy 1.4.3 py37h1de35cc_0 libarchive 3.3.3 h786848e_5 libcurl 7.68.0 h051b688_0 libcxx 4.0.1 hcfea43d_1 libcxxabi 4.0.1 hcfea43d_1 libedit 3.1.20181209 hb402a30_0 libffi 3.2.1 h475c297_4 libgfortran 3.0.1 h93005f0_2 libiconv 1.15 hdd342a3_7 liblief 0.9.0 h2a1bed3_2 libpng 1.6.37 ha441bb4_0 libsodium 1.0.16 h3efe00b_0 libspatialindex 1.9.3 h0a44026_0 libssh2 1.9.0 ha12b0ac_1 libtiff 4.1.0 hcb84e12_0 libxml2 2.9.9 hf6e021a_1 libxslt 1.1.33 h33a18ac_0 llvm-openmp 4.0.1 hcfea43d_1 llvmlite 0.31.0 py37h1341992_0 locket 0.2.0 py37_1 lxml 4.5.0 py37hef8c89e_0 lz4-c 1.8.1.2 h1de35cc_0 lzo 2.10 h362108e_2 markupsafe 1.1.1 py37h1de35cc_0 matplotlib 3.1.3 py37_0 matplotlib-base 3.1.3 py37h9aa3819_0 mccabe 0.6.1 py37_1 mistune 0.8.4 py37h1de35cc_0 mkl 2019.4 233 mkl-service 2.3.0 py37hfbe908c_0 mkl_fft 1.0.15 py37h5e564d8_0 mkl_random 1.1.0 py37ha771720_0 mock 4.0.1 py_0 more-itertools 8.2.0 py_0 mpc 1.1.0 h6ef4df4_1 mpfr 4.0.1 h3018a27_3 mpmath 1.1.0 py37_0 msgpack-python 0.6.1 py37h04f5b5a_1 multipledispatch 0.6.0 py37_0 navigator-updater 0.2.1 py37_0 nbconvert 5.6.1 py37_0 nbformat 5.0.4 py_0 ncurses 6.2 h0a44026_0 networkx 2.4 py_0 nltk 3.4.5 py37_0 nose 1.3.7 py37_2 notebook 6.0.3 py37_0 numba 0.48.0 py37h6c726b0_0 numexpr 2.7.1 py37hce01a72_0 numpy 1.18.1 py37h7241aed_0 numpy-base 1.18.1 py37h6575580_1 numpydoc 0.9.2 py_0 olefile 0.46 py37_0 openpyxl 3.0.3 py_0 openssl 1.1.1d h1de35cc_4 packaging 20.1 py_0 pandas 1.0.1 py37h6c726b0_0 pandoc 2.2.3.2 0 pandocfilters 1.4.2 py37_1 parso 0.5.2 py_0 partd 1.1.0 py_0 path 13.1.0 py37_0 path.py 12.4.0 0 pathlib2 2.3.5 py37_0 pathtools 0.1.2 py_1 patsy 0.5.1 py37_0 pcre 8.43 h0a44026_0 pep8 1.7.1 py37_0 pexpect 4.8.0 py37_0 pickleshare 0.7.5 py37_0 pillow 7.0.0 py37h4655f20_0 pip 20.0.2 py37_1 pkginfo 1.5.0.1 py37_0 pluggy 0.13.1 py37_0 ply 3.11 py37_0 prometheus_client 0.7.1 py_0 prompt_toolkit 3.0.3 py_0 psutil 5.6.7 py37h1de35cc_0 ptyprocess 0.6.0 py37_0 py 1.8.1 py_0 py-lief 0.9.0 py37h1413db1_2 pycodestyle 2.5.0 py37_0 pycosat 0.6.3 py37h1de35cc_0 pycparser 2.19 py37_0 pycrypto 2.6.1 py37h1de35cc_9 pycurl 7.43.0.5 py37ha12b0ac_0 pydocstyle 4.0.1 py_0 pyflakes 2.1.1 py37_0 pygments 2.5.2 py_0 pylint 2.4.4 py37_0 pyodbc 4.0.30 py37h0a44026_0 pyopenssl 19.1.0 py37_0 pyparsing 2.4.6 py_0 pyqt 5.9.2 py37h655552a_2 pyrsistent 0.15.7 py37h1de35cc_0 pysocks 1.7.1 py37_0 pytables 3.6.1 py37h5bccee9_0 pytest 5.3.5 py37_0 pytest-arraydiff 0.3 py37h39e3cac_0 pytest-astropy 0.8.0 py_0 pytest-astropy-header 0.1.2 py_0 pytest-doctestplus 0.5.0 py_0 pytest-openfiles 0.4.0 py_0 pytest-remotedata 0.3.2 py37_0 python 3.7.6 h359304d_2 python-dateutil 2.8.1 py_0 python-jsonrpc-server 0.3.4 py_0 python-language-server 0.31.7 py37_0 python-libarchive-c 2.8 py37_13 python.app 2 py37_10 pytz 2019.3 py_0 pywavelets 1.1.1 py37h1de35cc_0 pyyaml 5.3 py37h1de35cc_0 pyzmq 18.1.1 py37h0a44026_0 qdarkstyle 2.8 py_0 qt 5.9.7 h468cd18_1 qtawesome 0.6.1 py_0 qtconsole 4.6.0 py_1 qtpy 1.9.0 py_0 readline 7.0 h1de35cc_5 requests 2.22.0 py37_1 ripgrep 11.0.2 he32d670_0 rope 0.16.0 py_0 rtree 0.9.3 py37_0 ruamel_yaml 0.15.87 py37h1de35cc_0 scikit-image 0.16.2 py37h6c726b0_0 scikit-learn 0.22.1 py37h27c97d8_0 scipy 1.4.1 py37h9fa6033_0 seaborn 0.10.0 py_0 send2trash 1.5.0 py37_0 setuptools 46.0.0 py37_0 simplegeneric 0.8.1 py37_2 singledispatch 3.4.0.3 py37_0 sip 4.19.8 py37h0a44026_0 six 1.14.0 py37_0 snappy 1.1.7 he62c110_3 snowballstemmer 2.0.0 py_0 sortedcollections 1.1.2 py37_0 sortedcontainers 2.1.0 py37_0 soupsieve 1.9.5 py37_0 sphinx 2.4.0 py_0 sphinxcontrib 1.0 py37_1 sphinxcontrib-applehelp 1.0.1 py_0 sphinxcontrib-devhelp 1.0.1 py_0 sphinxcontrib-htmlhelp 1.0.2 py_0 sphinxcontrib-jsmath 1.0.1 py_0 sphinxcontrib-qthelp 1.0.2 py_0 sphinxcontrib-serializinghtml 1.1.3 py_0 sphinxcontrib-websupport 1.2.0 py_0 spyder 4.0.1 py37_0 spyder-kernels 1.8.1 py37_0 sqlalchemy 1.3.13 py37h1de35cc_0 sqlite 3.31.1 ha441bb4_0 statsmodels 0.11.0 py37h1de35cc_0 sympy 1.5.1 py37_0 tbb 2020.0 h04f5b5a_0 tblib 1.6.0 py_0 terminado 0.8.3 py37_0 testpath 0.4.4 py_0 tk 8.6.8 ha441bb4_0 toolz 0.10.0 py_0 tornado 6.0.3 py37h1de35cc_3 tqdm 4.42.1 py_0 traitlets 4.3.3 py37_0 ujson 1.35 py37h1de35cc_0 unicodecsv 0.14.1 py37_0 unixodbc 2.3.7 h1de35cc_0 urllib3 1.25.8 py37_0 watchdog 0.10.2 py37h1de35cc_0 wcwidth 0.1.8 py_0 webencodings 0.5.1 py37_1 werkzeug 1.0.0 py_0 wheel 0.34.2 py37_0 widgetsnbextension 3.5.1 py37_0 wrapt 1.11.2 py37h1de35cc_0 wurlitzer 2.0.0 py37_0 xlrd 1.2.0 py37_0 xlsxwriter 1.2.7 py_0 xlwings 0.17.1 py37_0 xlwt 1.3.0 py37_0 xmltodict 0.12.0 py_0 xz 5.2.4 h1de35cc_4 yaml 0.1.7 hc338f04_2 yapf 0.28.0 py_0 zeromq 4.3.1 h0a44026_3 zict 1.0.0 py_0 zipp 2.2.0 py_0 zlib 1.2.11 h1de35cc_3 zstd 1.3.7 h5bba6e5_0 ```

Details about conda and system ( conda info ):

``` $ conda info active environment : top active env location : /Users/sadeed/opt/anaconda3/envs/top shell level : 2 user config file : /Users/sadeed/.condarc populated config files : /Users/sadeed/.condarc /Users/sadeed/opt/anaconda3/envs/top/.condarc conda version : 4.8.3 conda-build version : 3.18.11 python version : 3.7.6.final.0 virtual packages : __osx=10.15.4 base environment : /Users/sadeed/opt/anaconda3 (writable) channel URLs : https://conda.anaconda.org/conda-forge/osx-64 https://conda.anaconda.org/conda-forge/noarch https://repo.anaconda.com/pkgs/main/osx-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/r/osx-64 https://repo.anaconda.com/pkgs/r/noarch package cache : /Users/sadeed/opt/anaconda3/pkgs /Users/sadeed/.conda/pkgs envs directories : /Users/sadeed/opt/anaconda3/envs /Users/sadeed/.conda/envs platform : osx-64 user-agent : conda/4.8.3 requests/2.22.0 CPython/3.7.6 Darwin/19.4.0 OSX/10.15.4 UID:GID : 501:20 netrc file : /Users/sadeed/.netrc offline mode : False ```

[jorisvandenbossche]

@ahmadsadeed The steps you took seem fully correct, and what we recommend, so normally that should work. How long did you let conda run? (it is known that the "solving" step can be very slow, taking several minutes)

One option that could help (although it should normally not be needed), is to pin down some more package versions, so that the solver has less work (like geopandas=0.7.0 pandas=1.0.3). Maybe you can also try to first already install some of the dependencies (eg start with a conda install python=3.8 pandas matplotlib shapely)

Another option is to try mamba (https://github.com/QuantStack/mamba): you can do conda install mamba -c conda-forge in the base environment, and then after switching to the new "top" environment, you can do mamba install python=3.8 geopandas (so just switch "conda" with "mamba" for the install command)

[ahmadsadeed]

It seems like the issue is with installing any package. I had to ctrl+z after letting it run for more than 20 minutes.

(base) sadeed@Ahmads-MacBook-Pro:~$ conda install mamba -c conda-forge
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: / ^Z

[martinfleis]

I am not able to replicate the issue on my Mac. It takes about a minute to resolve. Might be some issue with conda on your machine.

[ahmadsadeed]

Thanks. I will see if I can get some ideas from the Conda community.

[ahmadsadeed]

This comment solved my issue. I had to create a new env with lower python version.

https://github.com/conda/conda/issues/9367#issuecomment-628231987

[jorisvandenbossche]

Good to hear it's solved! (it would still be nice that conda can give an error message instead of keep solving, though ...)

[lixm1121]

This comment solved my issue. I had to create a new env with lower python version.

conda/conda#9367 (comment)

Thanks @ahmadsadeed! The comment really solved this issue. A new env with a lower version of python, e.g. python 3.7, should work.

[nmshafie1993]

This is still an issue, I was not able to install it even on a fresh conda env. Any tips?

[martinfleis]

Sometimes conda struggles to resolve an environment. I would recommend checking the mamba project. mamba is designed as a drop-in replacement of conda and is much faster in solving.