home / github / issue_comments

Menu
  • Search all tables
  • GraphQL API

issue_comments: 400080478

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/2217#issuecomment-400080478 https://api.github.com/repos/pydata/xarray/issues/2217 400080478 MDEyOklzc3VlQ29tbWVudDQwMDA4MDQ3OA== 1217238 2018-06-25T20:14:00Z 2018-06-25T20:14:00Z MEMBER

Both of these sounds reasonable to me, but APIs for pandas are really best discussed in a pandas issue. I'm happy to chime in over there, but I haven't been an active pandas dev recently. On Mon, Jun 25, 2018 at 2:07 PM Benjamin Root notifications@github.com wrote:

Do we want to dive straight to that? Or, would it make more sense to first submit some PRs piping the support for a tolerance kwarg through more of the API? Or perhaps we should propose that a "tolerance" attribute should be an optional attribute that methods like get_indexer() and such could always check for? Not being a pandas dev, I am not sure how piecemeal we should approach this.

In addition, we are likely going to have to implement a decent chunk of code ourselves for compatibility's sake, I think.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/pydata/xarray/issues/2217#issuecomment-400043753, or mute the thread https://github.com/notifications/unsubscribe-auth/ABKS1iqtMyN_GLM5htF2ncoqJ2AjgcjVks5uASb2gaJpZM4UbV3q .

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  329575874
Powered by Datasette · Queries took 1.979ms · About: xarray-datasette