home / github / issue_comments

Menu
  • GraphQL API
  • Search all tables

issue_comments: 497155229

This data as json

html_url issue_url id node_id user created_at updated_at author_association body reactions performed_via_github_app issue
https://github.com/pydata/xarray/issues/2281#issuecomment-497155229 https://api.github.com/repos/pydata/xarray/issues/2281 497155229 MDEyOklzc3VlQ29tbWVudDQ5NzE1NTIyOQ== 25473287 2019-05-30T00:24:36Z 2019-05-30T00:33:49Z NONE

An MPI error?!

@fspaolo Could you post a minimal reproducible example on xESMF's issue tracker? Just to keep this issue clean. The error looks like an ESMF installation problem that can happen on legacy OS, and it can be easily fixed by Docker or other containers.

It is surprising that a package targeting n-dimensional gridded datasets (particularly those from the geo/climate sciences) does not handle such a common task with spatial gridded data.

Just a side comment: This is a common but highly non-trivial task... Even small edges cases like periodic longitudes and polar singularities can cause interesting troubles. Otherwise I would just code up an algorithm in Xarray from scratch instead of relying on a heavy Fortran library. But things will get improved over time...

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  340486433
Powered by Datasette · Queries took 0.859ms · About: xarray-datasette