Hi,
I used a work around. Just open the file with pandas and converted it to geopandas. It's not ideal but works for now
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I need use some geospatial python packages on my Synapse SparkPool such as geopandas. I was able to install it as described in the documentation geospatial-processing-analytics using the yml file :
name: aoi-env
channels:
- conda-forge
- defaults
dependencies:
- gdal>=3.3.0
- pip>=20.1.1
- azure-storage-file-datalake
- libgdal
- shapely
- pyproj
- pip:
- rasterio
- geopandas
- apache-sedona
However it doesn't work when trying to read data from Data Lake Gen2, it return the following error: 'No such file or directoryDriverError' and I'm pretty shure the path is correct.
I think it may be a dependency problem, so I tried to pass geopandas as a dependency but it doesn't work because it fails to install. After 30 min running the installation process it is cancelled
name: aoi-env
channels:
- conda-forge
- defaults
dependencies:
- gdal>=3.3.0
- pip>=20.1.1
- azure-storage-file-datalake
- libgdal
- shapely
- pyproj
- geopandas
- pip:
- rasterio
- apache-sedona
Hi,
I used a work around. Just open the file with pandas and converted it to geopandas. It's not ideal but works for now
I am getting the same error. I know I have geopandas installed and working as I can read in sample datasets and explore them using a webmap. I know the permissions are correct, since I can list and read all files that make up the shapefile I am trying to read (.shp, .prj, .dbf, .shx, .cpg). I still get the same "no such file or directory" error when I use a geopandas.read_file command. Please post a workaround if you have one. I like Sedona for processing, but geopandas for visualization. Thanks, this thread has been really helpful!