Closed yngve-sk closed 2 months ago
I updated to the latest xarray
: pip install xarray==2024.5.0
, set the breakpoint on line 1334
in local_ensemble.py
and ran test_that_posterior_has_lower_variance_than_prior()
as you suggested.
to_dataframe()
seems now to retain the order:
You mentioned that we for some reason can't use the latest version of xarray
@larsevj .
What is the reason for this?
That was only for python3.8 where latest supported version is 2023.1.0
, for python3.11 we can use the newest xarray, but we still have to support both of them.
The newest xarray 2024.05
changed some of the ordering to be more consistent from what I could see. There is something weird that happens when you write to netcdf file and read it again, as I see you already have discussed above.
That was only for python3.8 where latest supported version is
2023.1.0
, for python3.11 we can use the newest xarray, but we still have to support both of them.
Thanks, I guess we just have to live with it.
to
local_experiment.py
Issue Resolves https://github.com/equinor/ert/issues/8081