Comparison Tool 6: Nuclide Difference DataFrame and Unique Isotopes#147
Draft
eitan-weinstein wants to merge 17 commits intosvalinn:mainfrom
Draft
Comparison Tool 6: Nuclide Difference DataFrame and Unique Isotopes#147eitan-weinstein wants to merge 17 commits intosvalinn:mainfrom
eitan-weinstein wants to merge 17 commits intosvalinn:mainfrom
Conversation
f05c610 to
ffaf1b5
Compare
This file contains hidden or 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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Follow up to #146 .
This PR introduces new functions to compare the difference in contributions for each nuclide at each time between the two data sets and storing this in a new DataFrame. Additionally, all nuclides present in only one data set and not the other are stored in a nested dictionary with a key for each data source, and sub-keys for each nuclide represented only in that data source. Each of these nuclide contains data on its maximum contributions to the respective variable being studied (absolute and relative) and the time of each occurance.
Plots are also included in the Jupyter notebook to visualize each unique nuclide's differences over time to illustrate the significance of its absence from the other data set.