abdulfatir/twitter-sentiment-analysis

Tidy up preprocess.py with pandas

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#2 opened on Dec 29, 2017

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Description

In preprocess_csv function in preprocess.py (link), pandas can be used to parse the csv more efficiently and with way less code. The machine I was using while developing the project did not have pandas installed.

Contributor guide

Tech stack
pythonpandas
Domain
datamachine learning
Issue type
refactor
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
under 1 hour
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
Pythonpandas
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
85
Research direction
The function preprocess csv in preprocess.py currently uses custom CSV parsing. It should be refactored to use pandas.read csv or similar. The existing code is at https://github.com/abdulfatir/twitter sentiment analysis/blob/master/preprocess.py#L71. The goal is to simplify and improve efficiency using pandas. No linked PRs or comments specifying exact approach; maintainers may welcome any pandas based cleanup.