Add Time Series Capability #187
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
danholdaway
requested review from
CoryMartin-NOAA,
asewnath,
Dooruk,
ADCollard and
EdwardSafford-NOAA
|
@danholdaway did the CI test fail because of yet another python version/dependency issue in the container? |
Co-authored-by: Cory Martin <[email protected]>
…al/eva into feature/time_series * 'feature/time_series' of https://github.com/jcsda-internal/eva: Update src/eva/eva_driver.py
…to be compatible with matplotlib
Dooruk
approved these changes
Jun 3, 2024
There was a problem hiding this comment.
Thanks @danholdaway for adding this feature. I'm looking forward to test this in the workflow level.
Closed
asewnath
approved these changes
Jun 4, 2024
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
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Outdated suggestions cannot be applied.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.
Description
Add capability to read and transform on the fly and assemble dataset that has a time series dimension.
Plots the new tests create shown below. Note that the tests are somewhat contrived since the data is the same at both time steps. We can try to improve on that in the future.
Dependencies
NONE
Impact
NONE