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CLIMADA-project / climada_python

Python (3.8+) version of CLIMADA
GNU General Public License v3.0
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Issue installing Climada using anaconda UnsatisfiableError: #107

Closed geohazard89 closed 2 years ago

geohazard89 commented 3 years ago

UnsatisfiableError: The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versions

Package libflang conflicts for: conda-forge::cfgrib=0.9.7.7 -> numpy -> libflang[version='>=5.0.0'] h5py=2.10.0 -> numpy[version='>=1.11.3, libflang[version='>=5.0.0'] rasterio=1.1.5 -> numpy[version='>=1.14.6, libflang[version='>=5.0.0'] matplotlib-base=3.2.2 -> numpy[version='>=1.14.6, libflang[version='>=5.0.0'] xarray=0.13.0 -> numpy[version='>=1.12'] -> libflang[version='>=5.0.0'] dask=2.25.0 -> numpy[version='>=1.13.0'] -> libflang[version='>=5.0.0'] statsmodels=0.11.1 -> numpy[version='>=1.14.6, libflang[version='>=5.0.0'] scikit-learn=0.23.2 -> numpy[version='>=1.14.6, libflang[version='>=5.0.0'] gdal=3.0.4 -> numpy[version='>=1.14.6, libflang[version='>=5.0.0'] numba=0.51.2 -> numpy[version='>=1.11.3, libflang[version='>=5.0.0'] bottleneck=1.3.2 -> numpy[version='>=1.14.6, libflang[version='>=5.0.0'] pytables=3.6.1 -> numpy[version='>=1.14.6, libflang[version='>=5.0.0'] netcdf4=1.5.4 -> numpy[version='>=1.14.6, libflang[version='>=5.0.0'] pandas=1.0.5 -> numpy[version='>=1.14.6, libflang[version='>=5.0.0'] fiona=1.8.13.post1 -> numpy[version='>=1.14.6, libflang[version='>=5.0.0'] cartopy=0.18.0 -> numpy[version='>=1.14.6, libflang[version='>=5.0.0']

Package matplotlib-base conflicts for: matplotlib-base=3.2.2 cartopy=0.18.0 -> matplotlib-base[version='>=1.5.1'] cartopy=0.18.0 -> matplotlib -> matplotlib-base[version='2.1.2|2.1.2|2.1.2|2.2.3|2.2.3|2.2.3|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|3.0.2|3.0.2|3.0.3|3.0.3|3.0.3|3.0.3|3.1.0|3.1.0|3.1.0|3.1.0|3.1.1|3.1.1|3.1.1|3.1.1|3.1.1|3.1.1|3.1.1|3.1.1|3.1.2|3.1.2|3.1.2|3.1.2|3.1.2|3.1.2|3.1.2|3.1.2|3.1.2|3.1.3|3.1.3|3.1.3|>=3.2.1,=3.2.2,=3.3.1,=3.3.2,=3.3.3,=3.3.0,=3.2.0,=2.2.5,matplotlib=3.2.2 -> matplotlib-base[version='>=3.2.2, Package sqlite conflicts for: xarray=0.13.0 -> python[version='>=3.5.3'] -> sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.34.0,nbconvert=5.6.1 -> python[version='>=3.7, sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.1,=3.31.1,=3.33.0,=3.34.0,=3.32.3,=3.30.0,haversine=2.3.0 -> python[version='>=3.5'] -> sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.34.0,pillow=7.2.0 -> python[version='>=3.6, sqlite[version='>=3.25.3,=3.26.0,=3.29.0,=3.30.1,=3.31.1,=3.33.0,=3.28.0,=3.27.2,=3.34.0,=3.32.3,=3.30.0,xlsxwriter=1.3.3 -> python -> sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.34.0,xlrd=1.2.0 -> python[version='>=2.7, sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.30.1,=3.33.0,=3.31.1,=3.29.0,=3.28.0,=3.34.0,=3.32.3,=3.30.0,nbformat=5.0.7 -> python[version='>=3.5'] -> sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.34.0,pip -> python[version='>=3.6, sqlite[version='>=3.25.3,=3.26.0,=3.29.0,=3.30.1,=3.31.1,=3.33.0,=3.34.0,=3.28.0,=3.27.2,=3.32.3,=3.30.0,numpy=1.18.1 -> python[version='>=3.7, sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.1,=3.31.1,=3.33.0,=3.34.0,=3.32.3,=3.30.0,fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, sqlite[version='>=3.25.3,=3.26.0,=3.29.0,=3.30.0,=3.30.1,=3.33.0,=3.32.3,=3.31.1,=3.28.0,=3.27.2,=3.34.0,tabulate=0.8.7 -> python[version='>=3.7, sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.1,=3.31.1,=3.33.0,=3.34.0,=3.32.3,=3.30.0,pandas=1.0.5 -> python[version='>=3.7, sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.1,=3.31.1,=3.33.0,=3.34.0,=3.32.3,=3.30.0,statsmodels=0.11.1 -> python[version='>=3.6, sqlite[version='>=3.25.3,=3.26.0,=3.29.0,=3.30.1,=3.31.1,=3.33.0,=3.28.0,=3.27.2,=3.34.0,=3.32.3,=3.30.0,rasterio=1.1.5 -> libgdal[version='>=3.0.4, sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.33.0,=3.32.3,=3.31.1,=3.34.0,cartopy=0.18.0 -> proj[version='>=6.2.1, sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.33.0,=3.32.3,=3.31.1,=3.34.0,pandas-datareader=0.8.1 -> python -> sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.34.0,scikit-learn=0.23.2 -> python[version='>=3.9, sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.34.0,pytables=3.6.1 -> python[version='>=3.9, sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.34.0,dask=2.25.0 -> python[version='>=3.6'] -> sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.34.0,h5py=2.10.0 -> python[version='>=3.8, sqlite[version='>=3.25.3,=3.26.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.28.0,=3.27.2,=3.34.0,tqdm=4.48.2 -> python -> sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.34.0,bottleneck=1.3.2 -> python[version='>=3.9, sqlite[version='>=3.25.3,=3.26.0,=3.29.0,=3.30.1,=3.31.1,=3.33.0,=3.34.0,=3.32.3,=3.30.0,=3.28.0,=3.27.2,cython=0.29.21 -> python[version='>=3.9, sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.34.0,gdal=3.0.4 -> libgdal==3.0.4=h6f60a84_9 -> sqlite[version='>=3.25.3,=3.26.0,=3.29.0,=3.30.1,=3.33.0,=3.31.1,=3.32.3,=3.30.0,=3.28.0,=3.27.2,=3.34.0,numba=0.51.2 -> python[version='>=3.8, sqlite[version='>=3.25.3,=3.26.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.28.0,=3.27.2,=3.34.0,netcdf4=1.5.4 -> python[version='>=3.6, sqlite[version='>=3.25.3,=3.26.0,=3.29.0,=3.30.1,=3.31.1,=3.33.0,=3.32.3,=3.30.0,=3.28.0,=3.27.2,=3.34.0,conda-forge::proj=7.0.0 -> sqlite[version='>=3.30.1,=3.32.3,pint=0.15 -> python[version='>=3.6'] -> sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.34.0,geopandas=0.6.1 -> python -> sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.34.0,matplotlib-base=3.2.2 -> python[version='>=3.6, sqlite[version='>=3.25.3,=3.26.0,=3.29.0,=3.30.1,=3.31.1,=3.33.0,=3.28.0,=3.27.2,=3.34.0,=3.32.3,=3.30.0,conda-forge::cfgrib=0.9.7.7 -> python[version='>=3.5'] -> sqlite[version='>=3.25.3,=3.26.0,=3.27.2,=3.28.0,=3.29.0,=3.30.0,=3.30.1,=3.31.1,=3.32.3,=3.33.0,=3.34.0, Package vs2010_runtime conflicts for: tabulate=0.8.7 -> python -> vs2010_runtime xlsxwriter=1.3.3 -> python -> vs2010_runtime tqdm=4.48.2 -> python -> vs2010_runtime geopandas=0.6.1 -> python -> vs2010_runtime pip -> python[version='>=3'] -> vs2010_runtime xlrd=1.2.0 -> python -> vs2010_runtime pandas-datareader=0.8.1 -> python -> vs2010_runtime

Package vc conflicts for: pint=0.15 -> python[version='>=3.6'] -> vc[version='14.|>=14.1,=14,gdal=3.0.4 -> vc[version='>=14.1,conda-forge::proj=7.0.0 -> sqlite[version='>=3.30.1, vc[version='14.|9.|>=14,rasterio=1.1.5 -> vc[version='>=14.1,bottleneck=1.3.2 -> numpy[version='>=1.14.6, vc[version='14.|>=9,conda-forge::cfgrib=0.9.7.7 -> cffi -> vc[version='14.|9.|>=14.1,=14,xlsxwriter=1.3.3 -> python -> vc[version='10.|14.|>=14.1,=14,=9,rasterio=1.1.5 -> numpy[version='>=1.14.6, vc[version='14.|9.|>=14,tqdm=4.48.2 -> python -> vc[version='10.|14.|>=14.1,=14,=9,cartopy=0.18.0 -> vc[version='>=14.1,scikit-learn=0.23.2 -> numpy[version='>=1.16.6, vc[version='14.|9.|>=14,pandas=1.0.5 -> numpy[version='>=1.14.6, vc[version='14.|9.|>=14,cartopy=0.18.0 -> matplotlib -> vc[version='14.|9.|>=14,=9,tabulate=0.8.7 -> python[version='>=3.7, vc[version='10.|14.|>=14.1,=14,=9,numba=0.51.2 -> numpy[version='>=1.11.3, vc[version='14.|9.|>=14,numpy=1.18.1 -> vc[version='>=14,=14.1,haversine=2.3.0 -> python[version='>=3.5'] -> vc[version='14.|>=14.1,=14,pillow=7.2.0 -> freetype[version='>=2.9.1, vc[version='14.|9.|>=14,=9,nbformat=5.0.7 -> python[version='>=3.5'] -> vc[version='14.|>=14.1,=14,dask=2.25.0 -> cytoolz[version='>=0.8.2'] -> vc[version='14.|9.|>=14.1,=14,bottleneck=1.3.2 -> vc[version='9.|>=14,=14.1,cython=0.29.21 -> vc[version='>=14.1,pytables=3.6.1 -> bzip2[version='>=1.0.8, vc[version='10.|14|14.|9.|9|>=9,pandas-datareader=0.8.1 -> lxml -> vc[version='10.|14.|9.|>=14.1,=14,=9,nbconvert=5.6.1 -> mistune[version='>=0.8.1'] -> vc[version='14.|9.|>=14,=14.1,=9,pandas=1.0.5 -> vc[version='>=14.1,fiona=1.8.13.post1 -> vc[version='>=14.1,matplotlib=3.2.2 -> matplotlib-base[version='>=3.2.2, vc[version='14.|>=14.1,=14,gdal=3.0.4 -> numpy[version='>=1.14.6, vc[version='14.|9.|>=14,h5py=2.10.0 -> vc[version='>=14,=14.1,statsmodels=0.11.1 -> numpy[version='>=1.14.6, vc[version='14.|9.'] geopandas=0.6.1 -> fiona -> vc[version='10.|14.|9.|>=14.1,=14,=9,numpy=1.18.1 -> mkl-service[version='>=2, vc[version='14.|9.'] netcdf4=1.5.4 -> cftime -> vc[version='14.|9.|>=14,fiona=1.8.13.post1 -> gdal -> vc[version='14.|9.|>=14,=9,pip -> python[version='>=3.6, vc[version='10.|14.|>=14.1,=14,=9,xarray=0.13.0 -> numpy[version='>=1.12'] -> vc[version='14.|9.|>=14.1,=14,matplotlib-base=3.2.2 -> freetype[version='>=2.9.1, vc[version='14.|9.|>=14,=9,pytables=3.6.1 -> vc[version='>=14,=14.1,statsmodels=0.11.1 -> vc[version='>=14,=14.1,cython=0.29.21 -> python[version='>=3.7, vc[version='14.|>=14,numba=0.51.2 -> vc[version='>=14.1,conda-forge::proj=7.0.0 -> vc[version='>=14.1,h5py=2.10.0 -> hdf5[version='>=1.10.4, vc[version='14.|9.'] pillow=7.2.0 -> vc[version='>=14.1,matplotlib-base=3.2.2 -> vc[version='>=14.1,xlrd=1.2.0 -> python[version='>=2.7, vc[version='10.|14.|9.*|>=9,=14.1,=14,netcdf4=1.5.4 -> vc[version='>=14.1,scikit-learn=0.23.2 -> vc[version='>=14.1, Package tornado conflicts for: dask=2.25.0 -> bokeh[version='>=1.0.0,!=2.0.0'] -> tornado[version='>=4.3|>=5|>=5.1|>=6.0.3'] matplotlib=3.2.2 -> matplotlib-base[version='>=3.2.2, tornado cartopy=0.18.0 -> matplotlib -> tornado matplotlib-base=3.2.2 -> tornado

Package hdf5 conflicts for: fiona=1.8.13.post1 -> gdal -> hdf5[version='>=1.10.4,=1.10.6,=1.10.5,netcdf4=1.5.4 -> libnetcdf[version='>=4.7.4, hdf5[version='|>=1.10.5,netcdf4=1.5.4 -> hdf5[version='>=1.10.6,rasterio=1.1.5 -> libgdal[version='>=3.0.4, hdf5[version='>=1.10.5,=1.10.6,pytables=3.6.1 -> hdf5[version='>=1.10.4,=1.10.6,=1.10.5,h5py=2.10.0 -> hdf5[version='>=1.10.4,=1.10.6,=1.10.5,cartopy=0.18.0 -> gdal[version='>=3.1.3, hdf5[version='>=1.10.6,conda-forge::cfgrib=0.9.7.7 -> eccodes[version='>=2.12.0'] -> hdf5[version='>=1.10.4,=1.10.5,=1.10.6,gdal=3.0.4 -> libgdal==3.0.4=h6f60a84_9 -> hdf5[version='>=1.10.5,=1.10.6, Package numpy conflicts for: conda-forge::cfgrib=0.9.7.7 -> xarray[version='>=0.12.0'] -> numpy[version='>=1.12|>=1.14|>=1.15|>=1.17'] bottleneck=1.3.2 -> numpy[version='>=1.14.6,=1.16.6,=1.16.5,=1.19.2,h5py=2.10.0 -> numpy[version='>=1.11.3,=1.19.2,=1.16.5,=1.14.6,statsmodels=0.11.1 -> pandas[version='>=0.21'] -> numpy[version='>=1.11.|>=1.11.3,=1.11.3,=1.12.1,=1.13.3,=1.16.6,=1.19.4,=1.19.2,=1.9.|>=1.4.0|>=1.15.1,statsmodels=0.11.1 -> numpy[version='>=1.14.6,=1.15.4,=1.16.5,=1.18.1,xarray=0.13.0 -> numpy[version='>=1.12'] xarray=0.13.0 -> pandas[version='>=0.19.2'] -> numpy[version='1.10.|1.11.|1.12.|1.13.|>=1.11.|>=1.11|>=1.11.3,=1.11.3,=1.12.1,=1.13.3,=1.14.6,=1.15.4,=1.16.6,=1.9|>=1.19.4,=1.16.5,=1.19.2,=1.9.|>=1.8|>=1.7'] pytables=3.6.1 -> numpy[version='>=1.11.3,=1.14.6,=1.16.6,=1.16.5,=1.19.2,cartopy=0.18.0 -> numpy[version='>=1.14.6,=1.16.5,=1.19.4,=1.19.2,dask=2.25.0 -> numpy[version='>=1.13.0'] conda-forge::cfgrib=0.9.7.7 -> numpy dask=2.25.0 -> bokeh[version='>=1.0.0,!=2.0.0'] -> numpy[version='>=1.11.|>=1.11.3,=1.11.3|>=1.7.1|>=1.16.6,=1.15.4,=1.14.6,=1.13.3,=1.12.1,=1.19.4,=1.16.5,=1.19.2,=1.9.'] numba=0.51.2 -> numpy[version='>=1.11.3,=1.16.5,fiona=1.8.13.post1 -> numpy[version='>=1.14.6,pandas-datareader=0.8.1 -> pandas[version='>=0.21'] -> numpy[version='>=1.11.|>=1.11.3,=1.11.3,=1.12.1,=1.13.3,=1.14.6,=1.15.4,=1.16.6,=1.19.4,=1.16.5,=1.19.2,=1.9.'] netcdf4=1.5.4 -> numpy[version='>=1.14.6,=1.16.5,=1.19.2,fiona=1.8.13.post1 -> gdal -> numpy[version='1.10.|1.11.|1.12.|1.13.|>=1.11|>=1.11.3,=1.16.5,=1.19.2,=1.14.1,=1.9|>=1.8|>=1.7|1.9.|1.8.'] gdal=3.0.4 -> numpy[version='>=1.14.6,numpy=1.18.1 matplotlib-base=3.2.2 -> numpy[version='>=1.14.6,cartopy=0.18.0 -> matplotlib -> numpy[version='1.10.|1.11.|>=1.11.3,=1.11|>=1.9|>=1.7|1.13.|1.12.|>=1.16.6,=1.15.1,=1.14.1,=1.8|1.9.|1.8.|>=1.15.4,pytables=3.6.1 -> numexpr -> numpy[version='1.10.|1.11.|1.12.|1.13.|>=1.11|>=1.11.3|>=1.15.4,=1.16.3,=1.16.4,=1.9|>=1.8'] geopandas=0.6.1 -> fiona -> numpy[version='1.10.|1.11.|1.12.|>=1.11|>=1.11.3,=1.14.6,=1.19.4,=1.16.5,=1.19.2,=1.14.5,=1.9|>=1.8|>=1.7|1.9.|>=1.16.6,=1.15.4,=1.13.3,=1.12.1,=1.11.|>=1.9.|>=1.14.1,=1.11.3,netcdf4=1.5.4 -> cftime -> numpy[version='>=1.11|>=1.11.3,=1.16.6,=1.19.4,pandas=1.0.5 -> numpy[version='>=1.14.6,matplotlib=3.2.2 -> matplotlib-base[version='>=3.2.2, numpy[version='>=1.14.6,rasterio=1.1.5 -> snuggs[version='>=1.4.1'] -> numpy rasterio=1.1.5 -> numpy[version='>=1.14.6, Package libnetcdf conflicts for: netcdf4=1.5.4 -> libnetcdf[version='>=4.7.4,conda-forge::cfgrib=0.9.7.7 -> eccodes[version='>=2.12.0'] -> libnetcdf[version='>=4.6.2,=4.7.1,=4.7.3,=4.7.4,=4.6.2,fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, libnetcdf[version='>=4.6.1,=4.7.4,=4.7.3,=4.7.1,rasterio=1.1.5 -> libgdal[version='>=3.0.4, libnetcdf[version='>=4.7.3,=4.7.4,gdal=3.0.4 -> libgdal==3.0.4=h6f60a84_9 -> libnetcdf[version='>=4.7.3,=4.7.4, Package python_abi conflicts for: pytables=3.6.1 -> python_abi[version='3.6.|3.7.|3.8.|3.9.',build='_cp37m|_cp38|_cp39|_cp36m'] pint=0.15 -> setuptools -> python_abi[version='3.6.|3.7.|3.9.|3.8.',build='_cp37m|_cp39|_cp36m|_cp38'] dask=2.25.0 -> bokeh[version='>=1.0.0,!=2.0.0'] -> python_abi[version='3.6.|3.7.|3.8.|3.9.',build='_cp37m|_cp38|_cp39|_cp36m'] numpy=1.18.1 -> mkl-service[version='>=2, python_abi=3.9[build=_cp39] conda-forge::cfgrib=0.9.7.7 -> cffi -> python_abi[version='3.6|3.6.|3.7.|3.8.|3.9.',build='_cp39|_cp38|_cp37m|_cp36m|_pypy36_pp73'] cython=0.29.21 -> python_abi[version='3.6.|3.7.|3.9.|3.8.',build='_cp38|_cp37m|_cp39|_cp36m'] numba=0.51.2 -> llvmlite[version='>=0.34.0, python_abi=3.9[build=_cp39] gdal=3.0.4 -> numpy[version='>=1.14.6, python_abi=3.9[build=_cp39] statsmodels=0.11.1 -> numpy[version='>=1.14.6, python_abi=3.9[build=_cp39] cartopy=0.18.0 -> python_abi[version='3.6.|3.8.|3.9.|3.7.',build='_cp37m|_cp38|_cp36m|_cp39'] netcdf4=1.5.4 -> python_abi[version='3.6.|3.8.|3.7.|3.9.',build='_cp37m|_cp38|_cp36m|_cp39'] matplotlib-base=3.2.2 -> python_abi[version='3.6.|3.7.|3.8.',build='_cp37m|_cp38|_cp36m'] nbconvert=5.6.1 -> python_abi[version='3.6.|3.7.|3.8.',build='_cp37m|_cp38|_cp36m'] nbformat=5.0.7 -> jsonschema[version='>=2.4,!=2.5.0'] -> python_abi[version='2.7.|3.6.|3.7.|3.8.|3.9.',build='_cp38|_cp37m|_cp27m|_cp36m|_cp39'] rasterio=1.1.5 -> numpy[version='>=1.14.6, python_abi=3.9[build=_cp39] numpy=1.18.1 -> python_abi[version='3.6.|3.7.|3.8.',build='_cp38|_cp37m|_cp36m'] numba=0.51.2 -> python_abi[version='3.6.|3.7.|3.8.',build='_cp37m|_cp38|_cp36m'] pip -> setuptools -> python_abi[version='2.7.|3.6.|3.7.|3.9.|3.8.',build='_cp27m|_cp37m|_cp39|_cp36m|_cp38'] pandas=1.0.5 -> python_abi[version='3.6.|3.8.|3.7.',build='_cp37m|_cp38|_cp36m'] xarray=0.13.0 -> numpy[version='>=1.12'] -> python_abi[version='3.6.|3.7.|3.9.|3.8.',build='_cp38|_cp37m|_cp39|_cp36m'] statsmodels=0.11.1 -> python_abi[version='3.6.|3.8.|3.7.',build='_cp37m|_cp38|_cp36m'] matplotlib-base=3.2.2 -> kiwisolver -> python_abi[version='2.7.|3.9.',build='_cp27m|_cp39'] pytables=3.6.1 -> mock -> python_abi=2.7[build=_cp27m] bottleneck=1.3.2 -> python_abi[version='3.6.|3.8.|3.7.|3.9.',build='_cp37m|_cp38|_cp36m|_cp39'] rasterio=1.1.5 -> python_abi[version='3.6.|3.7.|3.8.',build='_cp37m|_cp38|_cp36m'] pandas-datareader=0.8.1 -> lxml -> python_abi[version='2.7.|3.6.|3.7.|3.9.|3.8.',build='_cp27m|_cp38|_cp37m|_cp36m|_cp39'] scikit-learn=0.23.2 -> python_abi[version='3.6.|3.8.|3.9.|3.7.',build='_cp37m|_cp38|_cp36m|_cp39'] geopandas=0.6.1 -> fiona -> python_abi[version='3.6.|3.7.|3.9.|3.8.',build='_cp37m|_cp39|_cp36m|_cp38'] fiona=1.8.13.post1 -> gdal -> python_abi[version='3.6.|3.7.|3.8.|3.9.',build='_cp37m|_cp38|_cp36m|_cp39'] pillow=7.2.0 -> python_abi[version='3.6.|3.7.|3.9.|3.8.',build='_cp38|_cp37m|_cp39|_cp36m'] nbconvert=5.6.1 -> entrypoints[version='>=0.2.2'] -> python_abi[version='2.7.|3.9.',build='_cp27m|_cp39'] pandas=1.0.5 -> numpy[version='>=1.14.6, python_abi=3.9[build=_cp39] netcdf4=1.5.4 -> cftime -> python_abi=2.7[build=_cp27m] h5py=2.10.0 -> python_abi[version='3.6.|3.9.|3.8.|3.7.',build='_cp37m|_cp39|_cp36m|_cp38'] gdal=3.0.4 -> python_abi[version='3.6.|3.8.|3.7.',build='_cp37m|_cp38|_cp36m'] matplotlib=3.2.2 -> matplotlib-base[version='>=3.2.2, python_abi[version='3.6.|3.7.|3.8.|3.9.',build='_cp37m|_cp38|_cp36m|_cp39']

Package libgdal conflicts for: rasterio=1.1.5 -> libgdal[version='>=2.4.4,=3.0.4,cartopy=0.18.0 -> gdal[version='>=3.1.3, libgdal[version='3.1.2|3.1.2|3.1.2|3.1.2|3.1.2|3.1.3|3.1.3|3.1.4',build='h586bd2e_1|h0e5aa5a_4|h0e5aa5a_1|h0e5aa5a_0|h0e5aa5a_0|h586bd2e_3|h132428b_2|h98769a9_0'] geopandas=0.6.1 -> fiona -> libgdal[version='2.1.4|>=2.2.2,=2.3.3,=3.0.2,=3.1.4,=3.1.3,=3.1.2,=3.0.4,=3.0.1,=2.4.2,gdal=3.0.4 -> libgdal==3.0.4[build='hf6228d7_2|h1d28743_3|h821c9b7_6|h6f60a84_8|h6f60a84_9|hf164de3_7|h54d948e_5|hf258572_4|hd7a9a0e_1|h90de84b_0'] fiona=1.8.13.post1 -> gdal -> libgdal[version='2.3.2|2.3.2|2.3.3|3.0.2|>=2.2.2,fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, Package zlib conflicts for: numba=0.51.2 -> llvmlite[version='>=0.34.0, zlib[version='>=1.2.11,fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, zlib[version='>=1.2.11,conda-forge::proj=7.0.0 -> libcurl[version='>=7.71.1, zlib[version='>=1.2.11,h5py=2.10.0 -> hdf5[version='>=1.10.4, zlib[version='>=1.2.11,pytables=3.6.1 -> zlib[version='>=1.2.11,gdal=3.0.4 -> libgdal==3.0.4=h6f60a84_9 -> zlib[version='>=1.2.11,pillow=7.2.0 -> zlib[version='>=1.2.11,matplotlib-base=3.2.2 -> zlib[version='>=1.2.11,rasterio=1.1.5 -> libgdal[version='>=3.0.4, zlib[version='>=1.2.11,netcdf4=1.5.4 -> hdf5[version='>=1.10.6, zlib[version='>=1.2.11,matplotlib=3.2.2 -> matplotlib-base[version='>=3.2.2, zlib[version='>=1.2.11,cartopy=0.18.0 -> matplotlib -> zlib[version='1.2.|1.2.11|1.2.11.|>=1.2.11, Package gdal conflicts for: gdal=3.0.4 cartopy=0.18.0 -> gdal[version='>=3.1.2,=3.1.3,geopandas=0.6.1 -> fiona -> gdal[version='1.11.4|2.1.|2.2.|>=2.4.2,=2.4.1,=2.4.0,=2.3.2,=2.2.4,=2.*'] fiona=1.8.13.post1 -> gdal

Package python-dateutil conflicts for: pandas=1.0.5 -> python-dateutil[version='>=2.6.1'] matplotlib-base=3.2.2 -> python-dateutil cartopy=0.18.0 -> matplotlib -> python-dateutil[version='>=1.5|>=2.1'] dask=2.25.0 -> bokeh[version='>=1.0.0,!=2.0.0'] -> python-dateutil[version='>=2.1|>=2.7.3|>=2.6.1|>=2.5.'] xarray=0.13.0 -> pandas[version='>=0.19.2'] -> python-dateutil[version='>=2.5.|>=2.6.1|>=2.7.3'] geopandas=0.6.1 -> pandas[version='>=0.23'] -> python-dateutil[version='>=2.5.|>=2.6.1|>=2.7.3'] pandas-datareader=0.8.1 -> pandas[version='>=0.21'] -> python-dateutil[version='>=2.5.|>=2.6.1|>=2.7.3'] matplotlib=3.2.2 -> matplotlib-base[version='>=3.2.2, python-dateutil statsmodels=0.11.1 -> pandas[version='>=0.21'] -> python-dateutil[version='>=2.5.*|>=2.6.1|>=2.7.3']

Package python conflicts for: numpy=1.18.1 -> mkl-service[version='>=2, python[version='2.7.|3.5.|3.6.|>=2.7,=3.9,=3.5,nbformat=5.0.7 -> ipython_genutils -> python[version='2.7.|3.4.|3.5.|3.6.|>=2.7,=3.6,=3.8,=3.7,=3.5,=3.6|>=3.9,=3.7'] pytables=3.6.1 -> mock -> python[version='2.7.|3.4.|3.5.|3.6.|>=2.7,=3.6|>=3.5,nbformat=5.0.7 -> python[version='>=3.5'] numba=0.51.2 -> llvmlite[version='>=0.34.0, python[version='2.7.|3.5.|3.6.|>=2.7,=3.9,=3.5,h5py=2.10.0 -> numpy[version='>=1.11.3, python[version='2.7.|3.4.|3.5.|3.6.|>=2.7,=3.5,cartopy=0.18.0 -> python[version='>=3.6,=3.7,=3.8,=3.9,xlrd=1.2.0 -> python[version='>=2.7,=3.6,=3.7,conda-forge::cfgrib=0.9.7.7 -> python[version='>=3.5'] scikit-learn=0.23.2 -> joblib[version='>=0.11'] -> python[version='2.7.|3.5.|3.6.|>=2.7,=3.6|>=3.5,=3.5|3.8.|3.9.|3.7.'] scikit-learn=0.23.2 -> python[version='>=3.6,=3.7,=3.8,=3.9,cython=0.29.21 -> python[version='>=3.6,=3.7,=3.8,=3.9,pandas-datareader=0.8.1 -> python geopandas=0.6.1 -> python nbconvert=5.6.1 -> bleach -> python[version='2.7.|3.5.|3.6.|>=3.5,=3.9,=3.6|>=3.5|>=3.7|3.7.|3.8.'] fiona=1.8.13.post1 -> python[version='>=3.6,=3.8,=3.7,nbconvert=5.6.1 -> python[version='>=2.7,=3.7,=3.8,=3.6,pillow=7.2.0 -> olefile -> python[version='2.7.|3.5.|3.6.|>=2.7,=3.5,cython=0.29.21 -> setuptools -> python[version='2.7.|3.5.|3.6.|>=2.7,=3.5,geopandas=0.6.1 -> fiona -> python[version='2.7.|3.5.|3.6.|>=2.7,=3.6,=3.8,=3.7,=3.5,=3.9,rasterio=1.1.5 -> python[version='>=3.6,=3.7,=3.8,netcdf4=1.5.4 -> cftime -> python[version='2.7.|3.5.|3.6.|>=2.7,=3.5,statsmodels=0.11.1 -> numpy[version='>=1.14.6, python[version='2.7.|3.5.|3.6.|>=2.7,=3.9,=3.5,gdal=3.0.4 -> numpy[version='>=1.14.6, python[version='3.6.|>=2.7,=3.9,=3.5,dask=2.25.0 -> python[version='>=3.6'] tabulate=0.8.7 -> python[version='>=3.6,=3.7,=3.8,pint=0.15 -> python[version='>=3.6'] numpy=1.18.1 -> python[version='>=3.6,=3.7,=3.8,xarray=0.13.0 -> numpy[version='>=1.12'] -> python[version='2.7.|3.5.|3.6.|>=2.7,=3.6,=3.9,=3.7,=3.8,=3.5,cartopy=0.18.0 -> matplotlib -> python[version='2.7.|3.4.|3.5.|>=2.7,=3.5,=3.6|>=3|3.6.|3.8.|3.9.|3.7.'] pint=0.15 -> importlib_metadata -> python[version='2.7.|3.4.|3.5.|3.6.|>=2.7|>=2.7,=3.6,=3.8,=3.7,=3.5,=3.9,pandas=1.0.5 -> numpy[version='>=1.14.6, python[version='2.7.|3.5.|3.6.|>=2.7,=3.9,=3.5,=3|3.8.|3.7.'] haversine=2.3.0 -> python[version='>=3.5'] pandas=1.0.5 -> python[version='>=3.6,=3.7,=3.8,bottleneck=1.3.2 -> numpy[version='>=1.14.6, python[version='3.6.|3.8.|>=3.5,bottleneck=1.3.2 -> python[version='>=2.7,=3.6,=3.9,=3.8,=3.7,numba=0.51.2 -> python[version='>=3.6,=3.8,=3.7,rasterio=1.1.5 -> affine -> python[version='2.7.|3.5.|3.6.|>=2.7,=3.5,=3|>=3.9,h5py=2.10.0 -> python[version='>=3.6,=3.8,=3.7,=3.9,matplotlib=3.2.2 -> matplotlib-base[version='>=3.2.2, python[version='2.7.|3.5.|3.6.|>=2.7,=3.5,=3.6,=3.7,=3.8,=3.9,pip -> packaging -> python[version='>=2.7'] tqdm=4.48.2 -> python matplotlib-base=3.2.2 -> cycler[version='>=0.10'] -> python[version='2.7.|3.4.|3.5.|3.6.|>=2.7,=3.5,=3.9,statsmodels=0.11.1 -> python[version='>=3.6,=3.7,=3.8,netcdf4=1.5.4 -> python[version='>=3.6,=3.8,=3.7,=3.9,matplotlib-base=3.2.2 -> python[version='>=3.6,=3.7,=3.8,xarray=0.13.0 -> python[version='>=3.5.3'] dask=2.25.0 -> bokeh[version='>=1.0.0,!=2.0.0'] -> python[version='2.7.|3.5.|3.6.|>=2.7,=3.6,=3.7,=3.8,=3.9,=3.5|>=3|>=3.5,conda-forge::cfgrib=0.9.7.7 -> attrs -> python[version='2.7.|3.5.|3.6.|>=2.7,=3.6,=3.7,=3.5,=3.8,=3.9,=3|>=3.6|>=3.5.3',build='3_73_pypy|4_73_pypy|2_73_pypy|1_73_pypy|0_73_pypy'] gdal=3.0.4 -> python[version='>=3.6,=3.8,=3.7,pip -> python[version='2.7.|3.5.|3.6.|>=2.7,=3.6,=3.9,=3.7,=3.8,=3.5,=3|3.4.'] pandas-datareader=0.8.1 -> lxml -> python[version='2.7.|3.5.|3.6.|>=2.7,=3.6,=3.7,=3.9,=3.8,=3.5,pytables=3.6.1 -> python[version='>=3.6,=3.7,=3.8,=3.9,pillow=7.2.0 -> python[version='>=3.6,=3.7,=3.8,=3.9,xlsxwriter=1.3.3 -> python fiona=1.8.13.post1 -> attrs[version='>=17'] -> python[version='2.7.|3.5.|3.6.|>=2.7,=3.5,=3|>=3.9, Package libblas conflicts for: pandas=1.0.5 -> numpy[version='>=1.14.6, libblas[version='>=3.8.0,gdal=3.0.4 -> numpy[version='>=1.14.6, libblas[version='>=3.8.0,statsmodels=0.11.1 -> numpy[version='>=1.14.6, libblas[version='>=3.8.0,bottleneck=1.3.2 -> numpy[version='>=1.16.6, libblas[version='>=3.8.0,cartopy=0.18.0 -> numpy[version='>=1.14.6, libblas[version='>=3.8.0,netcdf4=1.5.4 -> numpy[version='>=1.16.5, libblas[version='>=3.8.0,rasterio=1.1.5 -> numpy[version='>=1.14.6, libblas[version='>=3.8.0,conda-forge::cfgrib=0.9.7.7 -> numpy -> libblas[version='>=3.8.0,dask=2.25.0 -> numpy[version='>=1.13.0'] -> libblas[version='>=3.8.0,h5py=2.10.0 -> numpy[version='>=1.11.3, libblas[version='>=3.8.0,xarray=0.13.0 -> numpy[version='>=1.12'] -> libblas[version='>=3.8.0,matplotlib-base=3.2.2 -> numpy[version='>=1.14.6, libblas[version='>=3.8.0,pytables=3.6.1 -> numpy[version='>=1.16.6, libblas[version='>=3.8.0,numpy=1.18.1 -> libcblas[version='>=3.8.0, libblas[version='3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0.|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.9.0|3.9.0|3.9.0|3.9.0|3.9.0|3.9.0|3.9.0|3.9.0.',build='4_openblas|4_mkl|5_openblas|5_blis|6_openblas|7_blis|7_mkl|9_openblas|9_mkl|10_openblas|11_blis|12_blis|12_openblas|12_mkl|13_mkl|14_blis|14_mkl|15_mkl|15_openblas|16_mkl|17_openblas|18_mkl|20_mkl|0_openblas|2_blis|3_blis|3_openblas|2_openblas|1_openblas|1_blis|0_blis|21_mkl|19_mkl|16_blis|16_openblas|15_blis|14_openblas|13_openblas|13_blis|11_openblas|11_mkl|10_mkl|10_blis|9_blis|8_mkl|8_openblas|8_blis|7_openblas|6_mkl|6_blis|5_mkl|4_blis'] numba=0.51.2 -> numpy[version='>=1.11.3, libblas[version='>=3.8.0,scikit-learn=0.23.2 -> numpy[version='>=1.16.6, libblas[version='3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0.|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.8.0|3.9.0|3.9.0|3.9.0|3.9.0|3.9.0|3.9.0|3.9.0.|3.9.0|3.9.0|>=3.8.0,numpy=1.18.1 -> libblas[version='>=3.8.0,fiona=1.8.13.post1 -> numpy[version='>=1.14.6, libblas[version='>=3.8.0, Package openjpeg conflicts for: rasterio=1.1.5 -> libgdal[version='>=3.0.4, openjpeg[version='>=2.3.1,fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, openjpeg[version='>=2.3.0,=2.3.1,gdal=3.0.4 -> libgdal==3.0.4=h6f60a84_9 -> openjpeg[version='>=2.3.1,conda-forge::cfgrib=0.9.7.7 -> eccodes[version='>=2.12.0'] -> openjpeg[version='>=2.3.1, Package pip conflicts for: pandas=1.0.5 -> python[version='>=3.7, pip pint=0.15 -> python[version='>=3.6'] -> pip geopandas=0.6.1 -> python -> pip h5py=2.10.0 -> python[version='>=3.8, pip tabulate=0.8.7 -> python[version='>=3.7, pip xlrd=1.2.0 -> python[version='>=2.7, pip conda-forge::cfgrib=0.9.7.7 -> python[version='>=3.5'] -> pip rasterio=1.1.5 -> python[version='>=3.8, pip statsmodels=0.11.1 -> python[version='>=3.6, pip nbformat=5.0.7 -> python[version='>=3.5'] -> pip haversine=2.3.0 -> python[version='>=3.5'] -> pip xlsxwriter=1.3.3 -> python -> pip pip cartopy=0.18.0 -> python[version='>=3.8, pip xarray=0.13.0 -> python[version='>=3.5.3'] -> pip netcdf4=1.5.4 -> python[version='>=3.6, pip matplotlib-base=3.2.2 -> python[version='>=3.6, pip pandas-datareader=0.8.1 -> python -> pip pytables=3.6.1 -> python[version='>=3.9, pip numpy=1.18.1 -> python[version='>=3.7, pip gdal=3.0.4 -> python[version='>=3.6, pip cython=0.29.21 -> python[version='>=3.9, pip pillow=7.2.0 -> python[version='>=3.6, pip dask=2.25.0 -> python[version='>=3.6'] -> pip tqdm=4.48.2 -> python -> pip nbconvert=5.6.1 -> python[version='>=3.7, pip bottleneck=1.3.2 -> python[version='>=3.9, pip numba=0.51.2 -> python[version='>=3.8, pip fiona=1.8.13.post1 -> python[version='>=3.8, pip

Package pandas conflicts for: xarray=0.13.0 -> pandas[version='>=0.19.2'] geopandas=0.6.1 -> pandas[version='>=0.23'] dask=2.25.0 -> pandas[version='>=0.23.0'] statsmodels=0.11.1 -> pandas[version='>=0.21'] conda-forge::cfgrib=0.9.7.7 -> xarray[version='>=0.12.0'] -> pandas[version='>=0.19.2|>=0.24|>=0.25'] pandas-datareader=0.8.1 -> pandas[version='>=0.21'] pandas=1.0.5

Package ca-certificates conflicts for: tqdm=4.48.2 -> python -> ca-certificates pip -> python[version='>=2.7, ca-certificates pandas-datareader=0.8.1 -> python -> ca-certificates bottleneck=1.3.2 -> python[version='>=2.7, ca-certificates nbconvert=5.6.1 -> python[version='>=2.7, ca-certificates geopandas=0.6.1 -> python -> ca-certificates xlrd=1.2.0 -> python[version='>=2.7, ca-certificates xlsxwriter=1.3.3 -> python -> ca-certificates tabulate=0.8.7 -> python -> ca-certificates

Package certifi conflicts for: matplotlib-base=3.2.2 -> setuptools -> certifi[version='>=2016.09|>=2016.9.26'] cython=0.29.21 -> setuptools -> certifi[version='>=2016.09|>=2016.9.26'] pip -> setuptools -> certifi[version='>=2016.09|>=2016.9.26|>=2017.4.17'] geopandas=0.6.1 -> pyproj -> certifi numba=0.51.2 -> setuptools -> certifi[version='>=2016.09|>=2016.9.26'] pandas-datareader=0.8.1 -> requests[version='>=2.3.0'] -> certifi[version='>=2017.4.17'] rasterio=1.1.5 -> setuptools[version='>=0.9.8'] -> certifi[version='>=2016.09|>=2016.9.26'] netcdf4=1.5.4 -> setuptools -> certifi[version='>=2016.09|>=2016.9.26'] pint=0.15 -> setuptools -> certifi[version='>=2016.09|>=2016.9.26'] cartopy=0.18.0 -> matplotlib-base[version='>=1.5.1'] -> certifi[version='>=2020.06.20'] fiona=1.8.13.post1 -> setuptools -> certifi[version='>=2016.09|>=2016.9.26'] conda-forge::cfgrib=0.9.7.7 -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']

Package msgpack-python conflicts for: dask=2.25.0 -> distributed[version='>=2.25.0'] -> msgpack-python[version='>=0.6.0'] pip -> cachecontrol -> msgpack-python

Package proj conflicts for: fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, proj[version='>=6.2.0,=6.2.1,=7.0.0,=6.3.1,=6.3.0,conda-forge::proj=7.0.0 cartopy=0.18.0 -> proj[version='>=6.2.1,=7.1.1,=7.1.0,conda-forge|conda-forge::proj=7.0.0 geopandas=0.6.1 -> pyproj -> proj[version='>=6.2.0,=6.2.1,=7.0.1,=7.2.0,=7.1.1,=7.1.0,=7.0.0,=6.3.1,=6.3.0,rasterio=1.1.5 -> libgdal[version='>=3.0.4, proj[version='>=6.3.0,=6.3.1,=7.0.0,gdal=3.0.4 -> libgdal==3.0.4=h6f60a84_9 -> proj[version='>=6.3.0,=6.3.1,=7.0.0, Package tzdata conflicts for: xarray=0.13.0 -> python[version='>=3.5.3'] -> tzdata xlrd=1.2.0 -> python -> tzdata pandas-datareader=0.8.1 -> python -> tzdata nbformat=5.0.7 -> python[version='>=3.5'] -> tzdata haversine=2.3.0 -> python[version='>=3.5'] -> tzdata xlsxwriter=1.3.3 -> python -> tzdata tabulate=0.8.7 -> python -> tzdata scikit-learn=0.23.2 -> python[version='>=3.9, tzdata tqdm=4.48.2 -> python -> tzdata cartopy=0.18.0 -> python[version='>=3.9, tzdata pytables=3.6.1 -> python[version='>=3.9, tzdata pip -> python[version='>=3.9, tzdata cython=0.29.21 -> python[version='>=3.9, tzdata dask=2.25.0 -> python[version='>=3.6'] -> tzdata pint=0.15 -> python[version='>=3.6'] -> tzdata bottleneck=1.3.2 -> python[version='>=3.9, tzdata netcdf4=1.5.4 -> python[version='>=3.9, tzdata conda-forge::cfgrib=0.9.7.7 -> python[version='>=3.5'] -> tzdata pillow=7.2.0 -> python[version='>=3.9, tzdata geopandas=0.6.1 -> python -> tzdata h5py=2.10.0 -> python[version='>=3.9, tzdata

Package libcurl conflicts for: conda-forge::proj=7.0.0 -> libcurl[version='>=7.64.1,=7.69.1,=7.71.1,cartopy=0.18.0 -> proj[version='>=7.1.1, libcurl[version='>=7.71.0,=7.71.1,fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, libcurl[version='>=7.65.3,pytables=3.6.1 -> hdf5[version='>=1.10.6, libcurl[version='>=7.71.1,netcdf4=1.5.4 -> hdf5[version='>=1.10.6, libcurl[version='>=7.71.1,h5py=2.10.0 -> hdf5[version='>=1.10.6, libcurl[version='>=7.71.1, Package zstd conflicts for: pillow=7.2.0 -> libtiff[version='>=4.1.0, zstd[version='>=1.3.3,=1.3.7,=1.4|>=1.4.4,=1.4.5,=1.4.4,=1.4.3,=1.4.0,fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, zstd[version='>=1.3.7,=1.4.4,gdal=3.0.4 -> libgdal==3.0.4=h6f60a84_9 -> zstd[version='>=1.4.4,conda-forge::proj=7.0.0 -> libtiff[version='>=4.1.0, zstd[version='>=1.3.7,=1.4|>=1.4.4,=1.4.5,=1.4.4,=1.4.3,rasterio=1.1.5 -> libgdal[version='>=3.0.4, zstd[version='>=1.4.4,pytables=3.6.1 -> blosc[version='>=1.20.1, zstd[version='>=1.3.7,=1.4.4,=1.4.5, Package pillow conflicts for: dask=2.25.0 -> bokeh[version='>=1.0.0,!=2.0.0'] -> pillow[version='>=4.0|>=7.1.0'] cartopy=0.18.0 -> matplotlib-base[version='>=1.5.1'] -> pillow[version='>=6.2.0'] cartopy=0.18.0 -> pillow[version='>=1.7.8'] pillow=7.2.0

Package requests conflicts for: cartopy=0.18.0 -> owslib -> requests[version='>=1.0'] pip -> requests pandas-datareader=0.8.1 -> requests[version='>=2.3.0']

Package shapely conflicts for: fiona=1.8.13.post1 -> shapely cartopy=0.18.0 -> shapely[version='>=1.5.6'] geopandas=0.6.1 -> shapely

Package setuptools conflicts for: numba=0.51.2 -> setuptools rasterio=1.1.5 -> setuptools[version='>=0.9.8'] dask=2.25.0 -> distributed[version='>=2.25.0'] -> setuptools conda-forge::cfgrib=0.9.7.7 -> setuptools matplotlib-base=3.2.2 -> setuptools netcdf4=1.5.4 -> setuptools nbconvert=5.6.1 -> bleach -> setuptools nbformat=5.0.7 -> jsonschema[version='>=2.4,!=2.5.0'] -> setuptools pytables=3.6.1 -> numexpr -> setuptools matplotlib=3.2.2 -> matplotlib-base[version='>=3.2.2, setuptools cython=0.29.21 -> setuptools pip -> setuptools scikit-learn=0.23.2 -> joblib[version='>=0.11'] -> setuptools geopandas=0.6.1 -> fiona -> setuptools conda-forge::cfgrib=0.9.7.7 -> xarray[version='>=0.12.0'] -> setuptools[version='>=41.2'] cartopy=0.18.0 -> matplotlib -> setuptools pint=0.15 -> setuptools fiona=1.8.13.post1 -> munch -> setuptools[version='>=17.1'] fiona=1.8.13.post1 -> setuptools

Package click conflicts for: fiona=1.8.13.post1 -> click-plugins[version='>=1.0'] -> click[version='>=3.0|>=4.0'] geopandas=0.6.1 -> fiona -> click[version='>=4.0,conda-forge::cfgrib=0.9.7.7 -> click fiona=1.8.13.post1 -> click[version='>=4.0,rasterio=1.1.5 -> click-plugins -> click[version='>=3.0|>=4.0|>=4.0,rasterio=1.1.5 -> click[version='>=4,dask=2.25.0 -> distributed[version='>=2.25.0'] -> click[version='>=6.6']

Package pympler conflicts for: rasterio=1.1.5 -> attrs -> pympler fiona=1.8.13.post1 -> attrs[version='>=17'] -> pympler conda-forge::cfgrib=0.9.7.7 -> attrs -> pympler

Package futures conflicts for: matplotlib-base=3.2.2 -> tornado -> futures dask=2.25.0 -> bokeh[version='>=1.0.0,!=2.0.0'] -> futures[version='>=3.0.3']

Package jpeg conflicts for: pillow=7.2.0 -> jpeg[version='>=9b,=9d,fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, jpeg[version='>=9b,=9c,cartopy=0.18.0 -> pillow -> jpeg[version='8.|9.|>=9b,=9d,=9c,rasterio=1.1.5 -> libgdal[version='>=3.0.4, jpeg[version='>=9c,pillow=7.2.0 -> libtiff[version='>=4.1.0, jpeg[version='>=9c,gdal=3.0.4 -> libgdal==3.0.4=h6f60a84_9 -> jpeg[version='>=9c,conda-forge::proj=7.0.0 -> libtiff[version='>=4.1.0, jpeg[version='>=9b,=9d,=9c,netcdf4=1.5.4 -> libnetcdf[version='>=4.7.4, jpeg[version='>=9c,=9d, Package six conflicts for: h5py=2.10.0 -> six statsmodels=0.11.1 -> patsy[version='>=0.5.1'] -> six matplotlib-base=3.2.2 -> cycler[version='>=0.10'] -> six[version='>=1.5'] dask=2.25.0 -> bokeh[version='>=1.0.0,!=2.0.0'] -> six[version='>=1.5.2'] cartopy=0.18.0 -> six[version='>=1.3.0'] fiona=1.8.13.post1 -> munch -> six pandas=1.0.5 -> python-dateutil[version='>=2.6.1'] -> six[version='>=1.5'] pip -> html5lib -> six[version='>=1.9'] pytables=3.6.1 -> six geopandas=0.6.1 -> fiona -> six[version='>=1.7'] nbformat=5.0.7 -> jsonschema[version='>=2.4,!=2.5.0'] -> six[version='>=1.11.0'] nbconvert=5.6.1 -> bleach -> six pint=0.15 -> packaging -> six numpy=1.18.1 -> mkl-service[version='>=2, six fiona=1.8.13.post1 -> six[version='>=1.7']

Package urllib3 conflicts for: pip -> requests -> urllib3[version='>=1.21.1,=1.21.1,=1.21.1,=1.21.1,=1.21.1,=1.21.1,pandas-datareader=0.8.1 -> requests[version='>=2.3.0'] -> urllib3[version='>=1.21.1,=1.21.1,=1.21.1,=1.21.1,=1.21.1,=1.21.1, Package nbformat conflicts for: nbconvert=5.6.1 -> nbformat[version='>=4.4'] nbformat=5.0.7

Package libxml2 conflicts for: rasterio=1.1.5 -> libgdal[version='>=3.0.4, libxml2[version='>=2.9.10,fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, libxml2[version='>=2.9.10,=2.9.9,gdal=3.0.4 -> libgdal==3.0.4=h6f60a84_9 -> libxml2[version='>=2.9.10,pandas-datareader=0.8.1 -> lxml -> libxml2[version='2.9.*|>=2.9.10,=2.9.9,=2.9.8,=2.9.7,=2.9.4, Package attrs conflicts for: geopandas=0.6.1 -> fiona -> attrs[version='>=17'] conda-forge::cfgrib=0.9.7.7 -> attrs fiona=1.8.13.post1 -> attrs[version='>=17'] nbformat=5.0.7 -> jsonschema[version='>=2.4,!=2.5.0'] -> attrs[version='>=17.4.0'] rasterio=1.1.5 -> attrs

Package webencodings conflicts for: nbconvert=5.6.1 -> bleach -> webencodings pip -> webencodings

Package lxml conflicts for: cartopy=0.18.0 -> owslib -> lxml pandas-datareader=0.8.1 -> lxml

Package xz conflicts for: rasterio=1.1.5 -> libgdal[version='>=3.0.4, xz[version='>=5.2.4,=5.2.5,fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, xz[version='>=5.2.4,=5.2.4,=5.2.5,conda-forge::proj=7.0.0 -> libtiff[version='>=4.1.0, xz[version='>=5.2.4,=5.2.4,=5.2.5,=5.2.5,pillow=7.2.0 -> libtiff[version='>=4.1.0, xz[version='>=5.2.4,=5.2.4,=5.2.5,=5.2.5,gdal=3.0.4 -> libgdal==3.0.4=h6f60a84_9 -> xz[version='>=5.2.4,=5.2.5, Package cligj conflicts for: geopandas=0.6.1 -> fiona -> cligj[version='>=0.5'] rasterio=1.1.5 -> cligj[version='>=0.5'] fiona=1.8.13.post1 -> cligj[version='>=0.5']

Package pytz conflicts for: dask=2.25.0 -> pandas[version='>=0.23.0'] -> pytz[version='>=2017.2'] geopandas=0.6.1 -> pandas[version='>=0.23'] -> pytz[version='>=2017.2'] pandas=1.0.5 -> pytz[version='>=2017.2'] xarray=0.13.0 -> pandas[version='>=0.19.2'] -> pytz[version='>=2017.2'] pandas-datareader=0.8.1 -> pandas[version='>=0.21'] -> pytz[version='>=2017.2'] statsmodels=0.11.1 -> pandas[version='>=0.21'] -> pytz[version='>=2017.2'] cartopy=0.18.0 -> matplotlib -> pytz

Package libtiff conflicts for: cartopy=0.18.0 -> pillow -> libtiff[version='4.|4.0.|>=4.0.10,=4.1.0,=4.0.9,=4.0.8,=4.0.8,=4.0.3,gdal=3.0.4 -> libgdal==3.0.4=h6f60a84_9 -> libtiff[version='>=4.1.0,conda-forge::proj=7.0.0 -> libtiff[version='>=4.1.0,fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, libtiff[version='>=4.0.10,=4.1.0,rasterio=1.1.5 -> libgdal[version='>=3.0.4, libtiff[version='>=4.1.0,pillow=7.2.0 -> libtiff[version='>=4.0.10,=4.1.0, Package kealib conflicts for: gdal=3.0.4 -> libgdal==3.0.4=h6f60a84_9 -> kealib[version='>=1.4.10,=1.4.13,fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, kealib[version='>=1.4.10,=1.4.13,=1.4.7,rasterio=1.1.5 -> libgdal[version='>=3.0.4, kealib[version='>=1.4.10,=1.4.13, Package vs2015_runtime conflicts for: scikit-learn=0.23.2 -> vs2015_runtime[version='>=14.16.27012|>=14.16.27012,scikit-learn=0.23.2 -> vc[version='>=14.1, vs2015_runtime[version='>=14.15.26706|>=14.27.29016']

Package pyparsing conflicts for: pint=0.15 -> packaging -> pyparsing[version='>=2.0.2'] cartopy=0.18.0 -> matplotlib -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6'] pip -> packaging -> pyparsing[version='>=2.0.2'] rasterio=1.1.5 -> snuggs[version='>=1.4.1'] -> pyparsing[version='>=2.1.6'] matplotlib-base=3.2.2 -> pyparsing matplotlib=3.2.2 -> matplotlib-base[version='>=3.2.2, pyparsing

Package m2w64-gcc-libs conflicts for: statsmodels=0.11.1 -> scipy[version='>=1.0'] -> m2w64-gcc-libs numpy=1.18.1 -> libblas[version='>=3.8.0, m2w64-gcc-libs scikit-learn=0.23.2 -> scipy -> m2w64-gcc-libs cartopy=0.18.0 -> scipy -> m2w64-gcc-libs

Package libpng conflicts for: fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, libpng[version='>=1.6.37,cartopy=0.18.0 -> matplotlib -> libpng[version='>=1.6.23,=1.6.32,=1.6.34,=1.6.35,=1.6.36,=1.6.37,pillow=7.2.0 -> freetype[version='>=2.9.1, libpng[version='>=1.6.34,=1.6.37,=1.6.35,gdal=3.0.4 -> libgdal==3.0.4=h6f60a84_9 -> libpng[version='>=1.6.37,conda-forge::cfgrib=0.9.7.7 -> eccodes[version='>=2.12.0'] -> libpng[version='>=1.6.37,matplotlib-base=3.2.2 -> libpng[version='>=1.6.37,rasterio=1.1.5 -> libgdal[version='>=3.0.4, libpng[version='>=1.6.37,matplotlib=3.2.2 -> matplotlib-base[version='>=3.2.2, libpng[version='>=1.6.37,matplotlib-base=3.2.2 -> freetype[version='>=2.9.1, libpng[version='>=1.6.34,=1.6.35, Package jinja2 conflicts for: nbconvert=5.6.1 -> jinja2 dask=2.25.0 -> bokeh[version='>=1.0.0,!=2.0.0'] -> jinja2[version='>=2.7']

Package libssh2 conflicts for: netcdf4=1.5.4 -> libnetcdf[version='>=4.7.4, libssh2 netcdf4=1.5.4 -> libssh2[version='>=1.8.0,=1.8.2,conda-forge::proj=7.0.0 -> libcurl[version='>=7.71.1, libssh2[version='>=1.8.0,=1.9.0,=1.8.2, Package freetype conflicts for: pillow=7.2.0 -> freetype[version='>=2.9.1,matplotlib-base=3.2.2 -> freetype[version='>=2.9.1,matplotlib=3.2.2 -> matplotlib-base[version='>=3.2.2, freetype[version='>=2.9.1,cartopy=0.18.0 -> matplotlib -> freetype[version='2.5.|2.6.|>=2.8,=2.9.1,=2.10.4,=2.10.3,=2.8.1,=2.10.2, Package scipy conflicts for: statsmodels=0.11.1 -> scipy[version='>=1.0'] cartopy=0.18.0 -> scipy[version='>=0.10'] statsmodels=0.11.1 -> patsy[version='>=0.5.1'] -> scipy scikit-learn=0.23.2 -> scipy

Package bzip2 conflicts for: netcdf4=1.5.4 -> libnetcdf[version='>=4.7.4, bzip2[version='>=1.0.8,pytables=3.6.1 -> bzip2[version='>=1.0.8, Package wincertstore conflicts for: cython=0.29.21 -> setuptools -> wincertstore[version='>=0.2'] matplotlib-base=3.2.2 -> setuptools -> wincertstore[version='>=0.2'] conda-forge::cfgrib=0.9.7.7 -> setuptools -> wincertstore[version='>=0.2'] pint=0.15 -> setuptools -> wincertstore[version='>=0.2'] pip -> setuptools -> wincertstore[version='>=0.2'] rasterio=1.1.5 -> setuptools[version='>=0.9.8'] -> wincertstore[version='>=0.2'] fiona=1.8.13.post1 -> setuptools -> wincertstore[version='>=0.2'] netcdf4=1.5.4 -> setuptools -> wincertstore[version='>=0.2'] numba=0.51.2 -> setuptools -> wincertstore[version='>=0.2']

Package importlib_metadata conflicts for: nbformat=5.0.7 -> jsonschema[version='>=2.4,!=2.5.0'] -> importlib_metadata pint=0.15 -> importlib_metadata

Package hdf4 conflicts for: netcdf4=1.5.4 -> libnetcdf[version='>=4.7.4, hdf4[version='>=4.2.13,fiona=1.8.13.post1 -> libgdal[version='>=3.0.2, hdf4[version='>=4.2.13,=4.2.13,gdal=3.0.4 -> libgdal==3.0.4=h6f60a84_9 -> hdf4[version='>=4.2.13,rasterio=1.1.5 -> libgdal[version='>=3.0.4, hdf4[version='>=4.2.13, Package packaging conflicts for: dask=2.25.0 -> bokeh[version='>=1.0.0,!=2.0.0'] -> packaging[version='>=16.8'] pip -> packaging nbconvert=5.6.1 -> bleach -> packaging pip -> wheel -> packaging[version='>=20.2'] pint=0.15 -> packaging

Package functools32 conflicts for: nbformat=5.0.7 -> jsonschema[version='>=2.4,!=2.5.0'] -> functools32 cartopy=0.18.0 -> matplotlib -> functools32

Package pyproj conflicts for: cartopy=0.18.0 -> owslib -> pyproj[version='>=2'] geopandas=0.6.1 -> pyproj

Package enum34 conflicts for: nbformat=5.0.7 -> traitlets[version='>=4.1'] -> enum34 nbconvert=5.6.1 -> traitlets[version='>=4.2'] -> enum34 geopandas=0.6.1 -> fiona -> enum34

Package fiona conflicts for: fiona=1.8.13.post1 geopandas=0.6.1 -> fiona

Package geos conflicts for: cartopy=0.18.0 -> shapely -> geos[version='3.4.|3.5.|3.5.1|3.6.2|>=3.6.2,=3.7.1,=3.7.2,=3.7.0,=3.4'] cartopy=0.18.0 -> geos[version='>=3.8.0,=3.8.1, Package intel-openmp conflicts for: netcdf4=1.5.4 -> intel-openmp=2020.0 netcdf4=1.5.4 -> mkl=2020.0 -> intel-openmp numpy=1.18.1 -> mkl[version='>=2019.4, intel-openmp

Package configparser conflicts for: pint=0.15 -> importlib_metadata -> configparser[version='>=3.5'] nbconvert=5.6.1 -> entrypoints[version='>=0.2.2'] -> configparser[version='>=3.5']

Package pyyaml conflicts for: cartopy=0.18.0 -> owslib -> pyyaml dask=2.25.0 -> bokeh[version='>=1.0.0,!=2.0.0'] -> pyyaml[version='>=3.10']

Package xarray conflicts for: conda-forge::cfgrib=0.9.7.7 -> xarray[version='>=0.12.0'] xarray=0.13.0

Package tk conflicts for: cartopy=0.18.0 -> pillow -> tk[version='8.6.*|>=8.6.10,=8.6.8,=8.6.7,=8.6.9,pillow=7.2.0 -> tk[version='>=8.6.10, Package matplotlib conflicts for: cartopy=0.18.0 -> matplotlib matplotlib=3.2.2

sameberenz commented 3 years ago

Hi @geohazard89, could you please specify which OS you are working on and which version of CLIMADA you where trying to install. Thanks, Sam

geohazard89 commented 3 years ago

Hi Sam,

Windows 10, Climada 1.5.1 and latest version of Anaconda

sameberenz commented 3 years ago

Hi Jose

The requirements file pasted below should work on Windows 10 for the latest version of CLIMADA. It was exported from a working installation by @emanuel-schmid . Could you please try installing the env from this and let us know how it turned out? Thanks Sam

name: climada_env
channels:
  - conda-forge
  - defaults
dependencies:
  - affine=2.3.0=py_0
  - attrs=20.3.0=pyhd3eb1b0_0
  - blas=1.0=mkl
  - bleach=3.2.1=py_0
  - blosc=1.20.1=h7bd577a_0
  - bokeh=2.2.3=py37_0
  - bottleneck=1.3.2=py37h2a96729_1
  - brotlipy=0.7.0=py37h2bbff1b_1003
  - bzip2=1.0.8=he774522_0
  - ca-certificates=2020.12.8=haa95532_0
  - cartopy=0.17.0=py37h21f5c67_1015
  - certifi=2020.12.5=py37haa95532_0
  - cffi=1.14.4=py37hcd4344a_0
  - cfgrib=0.9.7.7=py_0
  - cfitsio=3.470=he774522_6
  - cftime=1.3.0=py37h080aedc_0
  - chardet=3.0.4=py37haa95532_1003
  - click=7.1.2=py_0
  - click-plugins=1.1.1=py_0
  - cligj=0.7.1=py37haa95532_0
  - cloudpickle=1.6.0=py_0
  - cryptography=3.3.1=py37hcd4344a_0
  - curl=7.71.1=h4b64cdc_8
  - cycler=0.10.0=py37_0
  - cython=0.29.21=py37hd77b12b_0
  - cytoolz=0.11.0=py37he774522_0
  - dask=2.25.0=py_0
  - dask-core=2.25.0=py_0
  - defusedxml=0.6.0=py_0
  - distributed=2.30.1=py37haa95532_0
  - eccodes=2.19.1=h38ce353_0
  - entrypoints=0.3=py37_0
  - expat=2.2.10=h33f27b4_2
  - fiona=1.8.13.post1=py37hd760492_0
  - freetype=2.10.4=hd328e21_0
  - freexl=1.0.6=h2bbff1b_0
  - fsspec=0.8.3=py_0
  - gdal=3.0.4=py37hd44be9e_9
  - geopandas=0.6.1=py_0
  - geos=3.8.1=h33f27b4_0
  - geotiff=1.5.1=h3d29ae3_10
  - gettext=0.19.8.1=hb01d8f6_1002
  - glib=2.65.0=he4de6d7_0
  - h5py=2.10.0=nompi_py37h23cfb99_105
  - haversine=2.3.0=py_0
  - hdf4=4.2.13=h712560f_2
  - hdf5=1.10.6=nompi_h5268f04_1112
  - heapdict=1.0.1=py_0
  - icc_rt=2019.0.0=h0cc432a_1
  - icu=64.2=he025d50_1
  - idna=2.10=py_0
  - importlib-metadata=2.0.0=py_1
  - importlib_metadata=2.0.0=1
  - intel-openmp=2020.2=254
  - ipython_genutils=0.2.0=pyhd3eb1b0_1
  - jinja2=2.11.2=py_0
  - joblib=1.0.0=pyhd3eb1b0_0
  - jpeg=9d=h8ffe710_0
  - jsonschema=3.2.0=py_2
  - jupyter_core=4.7.0=py37haa95532_0
  - kealib=1.4.14=ha3510f1_0
  - kiwisolver=1.3.0=py37hd77b12b_0
  - krb5=1.17.1=hc04afaa_0
  - libboost=1.67.0=hd9e427e_4
  - libcurl=7.71.1=h4b64cdc_8
  - libffi=3.2.1=ha925a31_1007
  - libgdal=3.0.4=h6f60a84_9
  - libiconv=1.15=h1df5818_7
  - libkml=1.3.0=he5f2a48_4
  - libnetcdf=4.7.4=nompi_h3a9aa94_107
  - libpng=1.6.37=h2a8f88b_0
  - libpq=12.2=h3235a2c_0
  - libspatialindex=1.9.3=h33f27b4_0
  - libspatialite=4.3.0a=h51df0ed_1038
  - libssh2=1.9.0=h7a1dbc1_1
  - libtiff=4.1.0=h56a325e_1
  - libwebp-base=1.1.0=he774522_3
  - libxml2=2.9.10=hb89e7f3_3
  - libxslt=1.1.34=he774522_0
  - llvmlite=0.34.0=py37h1a82afc_4
  - locket=0.2.0=py37_1
  - lxml=4.6.2=py37h9b66d53_0
  - lz4-c=1.9.2=hf4a77e7_3
  - m2w64-expat=2.1.1=2
  - m2w64-gcc-libgfortran=5.3.0=6
  - m2w64-gcc-libs=5.3.0=7
  - m2w64-gcc-libs-core=5.3.0=7
  - m2w64-gettext=0.19.7=2
  - m2w64-gmp=6.1.0=2
  - m2w64-libiconv=1.14=6
  - m2w64-libwinpthread-git=5.0.0.4634.697f757=2
  - m2w64-xz=5.2.2=2
  - markupsafe=1.1.1=py37hfa6e2cd_1
  - matplotlib=3.2.2=0
  - matplotlib-base=3.2.2=py37h64f37c6_0
  - mistune=0.8.4=py37hfa6e2cd_1001
  - mkl=2020.2=256
  - mkl-service=2.3.0=py37h196d8e1_0
  - mkl_fft=1.2.0=py37h45dec08_0
  - mkl_random=1.1.1=py37h47e9c7a_0
  - mock=4.0.3=pyhd3eb1b0_0
  - msgpack-python=1.0.1=py37h59b6b97_0
  - msys2-conda-epoch=20160418=1
  - munch=2.5.0=py_0
  - nbconvert=5.6.1=py37_1
  - nbformat=5.0.7=py_0
  - netcdf4=1.5.4=nompi_py37h71608f9_103
  - numba=0.51.2=py37hf9181ef_1
  - numexpr=2.7.1=py37h054117c_0
  - numpy=1.18.1=py37h93ca92e_0
  - numpy-base=1.18.1=py37hc3f5095_1
  - olefile=0.46=py37_0
  - openjpeg=2.3.1=h48faf41_3
  - openssl=1.1.1i=h2bbff1b_0
  - owslib=0.21.0=pyhd3eb1b0_0
  - packaging=20.8=pyhd3eb1b0_0
  - pandas=1.0.5=py37h47e9c7a_0
  - pandas-datareader=0.8.1=py_0
  - pandoc=2.11=h9490d1a_0
  - pandocfilters=1.4.3=py37haa95532_1
  - partd=1.1.0=py_0
  - patsy=0.5.1=py37_0
  - pcre=8.44=ha925a31_0
  - pillow=7.2.0=py37hcc1f983_0
  - pint=0.15=py_0
  - pip=20.3.1=py37haa95532_0
  - poppler=0.87.0=h0cd1227_1
  - poppler-data=0.4.10=0
  - postgresql=12.2=h3235a2c_0
  - proj=7.0.0=haa36216_5
  - psutil=5.7.2=py37he774522_0
  - pycparser=2.20=py_2
  - pyepsg=0.4.0=py37_0
  - pygments=2.7.3=pyhd3eb1b0_0
  - pykdtree=1.3.1=py37h8c2d366_2
  - pyopenssl=20.0.0=pyhd3eb1b0_1
  - pyparsing=2.4.7=py_0
  - pyproj=2.6.1.post1=py37h1d8b288_0
  - pyqt=5.9.2=py37h6538335_2
  - pyreadline=2.1=py37_1
  - pyrsistent=0.17.3=py37he774522_0
  - pyshp=2.1.2=py_0
  - pysocks=1.7.1=py37_1
  - pytables=3.6.1=py37h14417ae_3
  - python=3.7.9=h60c2a47_0
  - python-dateutil=2.8.1=py_0
  - python_abi=3.7=1_cp37m
  - pytz=2020.4=pyhd3eb1b0_0
  - pywin32=227=py37he774522_1
  - pyyaml=5.3.1=py37he774522_1
  - qt=5.9.7=h506e8af_3
  - rasterio=1.1.5=py37h02db82b_1
  - requests=2.25.0=pyhd3eb1b0_0
  - rtree=0.9.4=py37h21ff451_1
  - scikit-learn=0.23.2=py37h47e9c7a_0
  - scipy=1.5.2=py37h9439919_0
  - setuptools=51.0.0=py37haa95532_2
  - shapely=1.7.1=py37h82f916b_1
  - sip=4.19.8=py37h6538335_0
  - six=1.15.0=py37haa95532_0
  - snuggs=1.4.7=py_0
  - sortedcontainers=2.3.0=pyhd3eb1b0_0
  - sqlite=3.33.0=h2a8f88b_0
  - statsmodels=0.11.1=py37he774522_0
  - tabulate=0.8.7=py37_0
  - tbb=2020.3=h74a9793_0
  - tblib=1.7.0=py_0
  - testpath=0.4.4=py_0
  - threadpoolctl=2.1.0=pyh5ca1d4c_0
  - tiledb=1.7.7=h0b90766_3
  - tk=8.6.10=he774522_0
  - toolz=0.11.1=py_0
  - tornado=6.1=py37h2bbff1b_0
  - tqdm=4.48.2=py_0
  - traitlets=5.0.5=py_0
  - typing_extensions=3.7.4.3=py_0
  - urllib3=1.25.11=py_0
  - vc=14.2=h21ff451_1
  - vs2015_runtime=14.27.29016=h5e58377_2
  - webencodings=0.5.1=py37_1
  - wheel=0.36.2=pyhd3eb1b0_0
  - win_inet_pton=1.1.0=py37haa95532_0
  - wincertstore=0.2=py37_0
  - xarray=0.13.0=py_0
  - xerces-c=3.2.2=ha925a31_0
  - xlrd=1.2.0=py37_0
  - xlsxwriter=1.3.3=py_0
  - xz=5.2.5=h62dcd97_0
  - yaml=0.2.5=he774522_0
  - zict=2.0.0=py_0
  - zipp=3.4.0=pyhd3eb1b0_0
  - zlib=1.2.11=h62dcd97_4
  - zstd=1.4.5=h04227a9_0
  - pip:
    - alabaster==0.7.12
    - appdirs==1.4.4
    - argon2-cffi==20.1.0
    - atomicwrites==1.4.0
    - autopep8==1.5.4
    - babel==2.9.0
    - backcall==0.2.0
    - bcrypt==3.2.0
    - bitstring==3.1.7
    - black==20.8b1
    - colorama==0.4.4
    - contextily==1.0.0
    - decorator==4.4.2
    - diff-match-patch==20200713
    - dill==0.3.3
    - docutils==0.16
    - flake8==3.8.4
    - geographiclib==1.50
    - geopy==2.0.0
    - helpdev==0.7.1
    - imagesize==1.2.0
    - intervaltree==3.1.0
    - ipykernel==5.4.2
    - ipython==7.19.0
    - ipywidgets==7.5.1
    - iso3166==1.0.1
    - jedi==0.17.2
    - jupyter==1.0.0
    - jupyter-client==6.1.7
    - jupyter-console==6.2.0
    - keyring==21.5.0
    - mercantile==1.1.6
    - multiprocess==0.70.11.1
    - mypy-extensions==0.4.3
    - notebook==6.1.5
    - numpydoc==1.1.0
    - overpy==0.4
    - paramiko==2.7.2
    - parso==0.7.0
    - pathos==0.2.6
    - pathspec==0.8.1
    - pexpect==4.8.0
    - pickleshare==0.7.5
    - pluggy==0.13.1
    - pox==0.2.9
    - ppft==1.6.6.3
    - prometheus-client==0.9.0
    - prompt-toolkit==3.0.8
    - ptyprocess==0.6.0
    - pybufrkit==0.2.17
    - pycodestyle==2.6.0
    - pydocstyle==5.1.1
    - pyflakes==2.2.0
    - pyls-black==0.4.6
    - pyls-spyder==0.3.0
    - pynacl==1.4.0
    - pyqt5==5.12.3
    - pyqt5-sip==12.8.1
    - pyqtwebengine==5.12.1
    - python-jsonrpc-server==0.4.0
    - python-language-server==0.36.2
    - pywin32-ctypes==0.2.0
    - pywinpty==0.5.7
    - pyzmq==20.0.0
    - qdarkstyle==2.8.1
    - qtawesome==1.0.2
    - qtconsole==5.0.1
    - qtpy==1.9.0
    - regex==2020.11.13
    - rope==0.18.0
    - send2trash==1.5.0
    - snowballstemmer==2.0.0
    - sphinx==3.3.1
    - sphinxcontrib-applehelp==1.0.2
    - sphinxcontrib-devhelp==1.0.2
    - sphinxcontrib-htmlhelp==1.0.3
    - sphinxcontrib-jsmath==1.0.1
    - sphinxcontrib-qthelp==1.0.3
    - sphinxcontrib-serializinghtml==1.1.4
    - spyder==4.2.0
    - spyder-kernels==1.10.0
    - terminado==0.9.1
    - three-merge==0.1.1
    - ujson==4.0.1
    - watchdog==1.0.1
    - wcwidth==0.2.5
    - widgetsnbextension==3.5.1
    - xmlrunner==1.7.7
    - yapf==0.30.0
mmyrte commented 3 years ago

@geohazard89 — did the above dependency file resolve your issue for now?

@sameberenz @emanuel-schmid — I think we should close all these issues with separate stop-gap fixes. I'll ask whether I can hijack/rename the #109 issue to have one single point of discussion for the dependency upgrades.

chahank commented 2 years ago

@emanuel-schmid : can we close this issue?

geohazard89 commented 2 years ago

Yes, please

El jue, 24 feb 2022 14:13, Chahan M. Kropf @.***> escribió:

@emanuel-schmid https://github.com/emanuel-schmid : can we close this issue?

— Reply to this email directly, view it on GitHub https://github.com/CLIMADA-project/climada_python/issues/107#issuecomment-1049847072, or unsubscribe https://github.com/notifications/unsubscribe-auth/APEYBTJVRV2DKMW7AAQCDF3U4YVJLANCNFSM4VEECAOA . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.

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