UofT-DSI | Python Assignment 2 #2
Open
Conversation
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
Updated the code to read a CSV file and added logic to calculate mean, max, and min flare-ups. Implemented a function to detect problems in the data.
Updated the code to read the entire CSV file into a variable and improved the function for detecting problems.
Aditya-k-23
approved these changes
Dec 17, 2025
Aditya-k-23
left a comment
Aditya-k-23
left a comment
There was a problem hiding this comment.
Great job! This submission adheres to good coding practices. Your assignment is complete.
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Outdated suggestions cannot be applied.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.
UofT-DSI | Python Assignment 2
What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)
read from csv, find mean, max, min and then check there is no 0's in data
What did you learn from the changes you have made?
parse csv, numpy processing and validate data
Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?
run for loop in list of data check for data to be non zero
Were there any challenges? If so, what issue(s) did you face? How did you overcome it?
NA
How were these changes tested?
locall
A reference to a related issue in your repository (if applicable)
Checklist