Marshall Stoner

After looking through the make files I just found out that python netCDF version 1.6.0 is actually still installing netCDF 4.8.1 C libraries when installed through Anaconda. That is indeed the issue. The 1.6.0 documentation mentions netCDF 4.9.0 compression libraries as supported, yet Anaconda isn't installing them. Trying to get them working manually is beyond me and not really worth the time. I'll just wait for later instill versions to have everything together. Thanks.

After looking through the make files I just found out the python netCDF version 1.6.0 is actually still installing netCDF 4.8.1 C libraries when installed through Anaconda. That is indeed the issue. The 1.6.0 documentation mentions netCDF 4.9.0 compression libraries as supported, yet Anaconda isn't installing them. Trying to get them working manually is beyond me and not really worth the time. I'll just wait for later instill versions to have everything together. Thanks.

After looking through the make files I just found out the python netCDF version 1.6.0 is actually still installing netCDF 4.8.1 C libraries when installed through Anaconda. That is indeed the issue. The 1.6.0 documentation mentions netCDF 4.9.0 compression libraries as supported, yet Anaconda isn't installing them.

First, I'm working with anaconda and have installed the python netcdf4 interface version 1.6.0 in a virtual environment. I'm on a windows 10 laptop. Because NCO executables are simpler and faster for certain tasks like stacking records together to create a new time dimension, I create a subprocess. Here is a snippet of code... # Merge files along a newly created "t" dimension using ncecat command. tmpfile1000_path = os.path.join(output_dir,"{}1000.tmp".format(tmp_prefix)) command = "ncecat -O -u...

First, I'm working with anaconda and have installed the python netcdf4 interface version 1.6.0 in a virtual environment. I'm on a windows 10 laptop. Because NCO executables are simpler and faster for certain tasks like stacking records together to create a new time dimension, I create a subprocess. Here is a snippet of code... # Merge files along a newly created "t" dimension using ncecat command. tmpfile1000_path = os.path.join(output_dir,"{}1000.tmp".format(tmp_prefix)) command = "ncecat -O -u...

First, I'm working with anaconda and have installed the python netcdf4 interface version 1.6.0 in a virtual environment. I'm on a windows 10 laptop. Because NCO executables are simpler and faster for certain tasks like stacking records together to create a new time dimension, I create a subprocess. Here is a snippet of code... # Merge files along a newly created "t" dimension using ncecat command. tmpfile1000_path = os.path.join(output_dir,"{}1000.tmp".format(tmp_prefix)) command = "ncecat -O -u...

First, I'm working with anaconda and have installed the python netcdf4 interface version 1.6.0 in a virtual environment. I'm on a windows 10 laptop. Because NCO executables are simpler and faster for certain tasks like stacking records together to create a new time dimension, I create a subprocess. Here is a snippet of code... # Merge files along a newly created "t" dimension using ncecat command. tmpfile1000_path = os.path.join(output_dir,"{}1000.tmp".format(tmp_prefix)) command = "ncecat -O -u...