Skip to content
GitLab
Projects Groups Snippets
  • /
  • Help
    • Help
    • Support
    • Community forum
    • Submit feedback
    • Contribute to GitLab
  • Sign in
  • C climix
  • Project information
    • Project information
    • Activity
    • Labels
    • Members
  • Repository
    • Repository
    • Files
    • Commits
    • Branches
    • Tags
    • Contributors
    • Graph
    • Compare
  • Issues 49
    • Issues 49
    • List
    • Boards
    • Service Desk
    • Milestones
  • Merge requests 8
    • Merge requests 8
  • Deployments
    • Deployments
    • Releases
  • Monitor
    • Monitor
    • Incidents
  • Analytics
    • Analytics
    • Value stream
    • Repository
  • Wiki
    • Wiki
  • Snippets
    • Snippets
  • Activity
  • Graph
  • Create a new issue
  • Commits
  • Issue Boards
Collapse sidebar
  • climix
  • climix
  • Issues
  • #111
Closed
Open
Issue created Sep 26, 2019 by Klaus Zimmermann@a002160Owner

Make input data preparation more robust

Currently, input data preparation may fail at the concatenation step due to varying metadata. We can use iris' equalise_attributes function to deal with this. This will in effect just remove all conflicting attributes, thus potentially losing some metadata. Still, at the moment this is our best bet to be able to deal particularly with large datasets spanning many files.

Assignee
Assign to
Time tracking