Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Quick attempt at
time_bounds
) to an IntervalArray. For this to be useful when a central valuetime
is present requires that we droptime
, create the intervalindex fortime_bounds
and then assign that astime
.Alternatively we might not want to record the "central value" on encode. Then we could simply have a 1D Variable(pd.IntervalArray) -> 2D Variable encoding pipeline with attributes:
closed: 'left'
. which side of the interval is closed?xarray_dtype: 'pandas_interval'
. tells Xarray to decode to thepd.Interval
dtypebounds_dim_name: 'bounds'
that identifies the dimension with size-2 (left & right edges)This is not CF-compliant but would let us close #2847