HakaiInstitute/csv-to-netcdf

Support custom fill values

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#1 opened on Feb 26, 2020

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enhancementgood first issue

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Description

xarray/pandas seems to find NA and NaN and parse them as no value. It would be handy if custom fill values could be set either for entire dataset or for each column

eg --fill-values 99.999,-99.9999,None

Contributor guide

Research direction
Implement a new command line argument, e.g., ` fill values`, that accepts a comma separated list of custom fill values (e.g., ` fill values 99.999, 99.9999,None`). Use Python's `argparse` module to add this argument. In the main logic, parse the fill values and pass them to `pandas.read csv` via the `na values` parameter. Optionally, support per column fill values by allowing the argument to accept column specific mappings (e.g., `col1:value1,col2:value2`). Update the documentation accordingly.
Tech stack
python
Domain
cli
Issue type
Feature
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.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
GitPython
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75