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771 B
layout | title | date | categories |
---|---|---|---|
programming | python pandas: transform csv - add a new column | 2021-01-30 | programming |
Problem:
I needed to group severity of CVEs for a project I am working on into low, medium, and high ranges. We have a risk score value between 0-100 that we can use to categorize each CVE into a range.
Solution:
We use the pandas library because it has some methods already written that allow us to read a csv file and apply our severity function to the data on each row in our csv file.
We can use the apply() function to do this with a lambda. We can define a new column this way and it will write out the newly computed data to its own column at the end of our file.
{% include apple_advisories_cve_risk_scores.html %}