Common functionality for data science at ERI
This package contains commonly useful functions and modules for data science purposes at Elder Research, Inc.
What is provided here is simply a high-level discussion of what is avilable in eri. For detailed instructions, please refer to the sub-module-level README files, and, of course, the function documentation. If any of the above does not exist, please seek out the author and shame them mercilessly
Useful functions for cleaning your data (usually assumes pandas data frames).
Shared configuration details.
HTML parsing and munging utilities.
Useful functions for validating the data we have (often just logging useful facts about a particular dataframe).
to test, install pytest and coverage and then run the following:
` python # run all tests coverage run -m pytest `
` python # print coverage statistics coverage report -m `
## Deploying to PyPi
I’m using twine. Instructions are [here](https://github.com/pypa/twine). to summarize, though:
` bash python setup.py sdist bdist_wheel twine upload --repository-url https://test.pypi.org/legacy/ dist/* twine upload --skip-existing dist/* twine upload --skip-existing -r eri dist/* `
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