Create aggregation support for MET .stat output

[bikegeek]

Describe the Enhancement

Time Estimate

~1-3 days for each sub-task

Sub-Issues

Consider breaking the enhancement down into sub-issues.
This work should be done under metcalcpy/pre-processing

• Identify the settings that will go into the YAML config file to support the aggregation features found in the MET stat analysis tool
• Using a pandas dataframe as input (expected output from reading, filtering, and reformatting the MET .stat file), invoke the necessary aggregation methods in METcalcpy aggregation modules (e.g. agg_stat.py, etc). Provide output in the form of a pandas dataframe (which is required of the METreformat code).
• Generate tests
• Generate documentation

Relevant Deadlines

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Funding Source

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• Select Repository and/or Organization level Project(s) or add alert: NEED CYCLE ASSIGNMENT label
• Select Milestone as the next official version or Future Versions

Define Related Issue(s)

Consider the impact to the other METplus components.

• METplus, MET, METdataio, METviewer, METexpress, METcalcpy, METplotpy

Enhancement Checklist

See the METplus Workflow for details.

• Complete the issue definition above, including the Time Estimate and Funding Source.
• Fork this repository or create a branch of develop.
  Branch name: feature_<Issue Number>_<Description>
• Complete the development and test your changes.
• Add/update log messages for easier debugging.
• Add/update unit tests.
• Add/update documentation.
• Add any new Python packages to the METplus Components Python Requirements table.
• Push local changes to GitHub.
• Submit a pull request to merge into develop.
  Pull request: feature <Issue Number> <Description>
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Select: Repository level development cycle Project for the next official release
Select: Milestone as the next official version

• Iterate until the reviewer(s) accept and merge your changes.
• Delete your fork or branch.
• Close this issue.