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doesn't work inmy environnement that I created with the command conda install conda-forge::rasterio
But, if specify in the command, rasterio=1.3.9=py311hd1b6236_0, then, the rioxarray.open_rasterio function works.
So, it seems that the problem comes from the specific version of rasterio that is automatically generated by the conda-forge channel. It takes the py311h02f6225_2 instead of the py311hd1b6236_0
My configuration with the environnment that doesn't work :
rioxarray 0.15.0 pyhd8ed1ab_0 conda-forge
rasterio 1.3.9 py311h02f6225_2 conda-forge
gdal 3.8.2 py311hff9a05f_1 conda-forge
python 3 11 5
Windows-10-10.0.19045-SP0
Installation method
I both tried in a command line
conda create -n myenv python=3.11 numpy jupyter geopandas shapely pyrosm stonesoup gpxpy pandas xarray rasterio rasterstats rioxarray hvplot plotly geoviews osmnx pyarrow folium seaborn xlsxwriter geojson python-kaleido
or with a yml file :
name: myenv
channels:
conda-forge
defaults
dependencies:
python=3.11.5
numpy
jupyter
geopandas
shapely
pyrosm
stonesoup
gpxpy
pandas
xarray
rasterio
rasterstats
rioxarray
hvplot
plotly
geoviews
osmnx
pyarrow
folium
seaborn
xlsxwriter
geojson
python-kaleido
Conda environment information (if you installed with conda):
Code Sample, a copy-pastable example if possible
This function
doesn't work inmy environnement that I created with the command conda install conda-forge::rasterio
But, if specify in the command, rasterio=1.3.9=py311hd1b6236_0, then, the rioxarray.open_rasterio function works.
So, it seems that the problem comes from the specific version of rasterio that is automatically generated by the conda-forge channel. It takes the py311h02f6225_2 instead of the py311hd1b6236_0
My configuration with the environnment that doesn't work :
rioxarray 0.15.0 pyhd8ed1ab_0 conda-forge
rasterio 1.3.9 py311h02f6225_2 conda-forge
gdal 3.8.2 py311hff9a05f_1 conda-forge
python 3 11 5
Windows-10-10.0.19045-SP0
Installation method
conda create -n myenv python=3.11 numpy jupyter geopandas shapely pyrosm stonesoup gpxpy pandas xarray rasterio rasterstats rioxarray hvplot plotly geoviews osmnx pyarrow folium seaborn xlsxwriter geojson python-kaleido
or with a yml file :
name: myenv
channels:
dependencies:
Conda environment information (if you installed with conda):
Environment (
conda list
):$ conda info
$ message error
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