mne-tools / mne-tools/mne-python
ENH generalize plot_ica_properties to channels
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3.5k
- Forks
- 1.6k
- Avg merge
- 1d 6h
- Merged PRs (30d)
- 100
Description
One EEGALB function I miss and find myself reproducing manually a lot is pop_prop.
These give a summary of a sensor or component that is helpful especially for identifying artefact types.
(They also work with raw files, segmenting the raw stream into 2-second epochs and showing you were gross artefacts are located in the data.)
plot_ica_properties should be generalized to channels. @mmagnuski
Maybe if others also find these interesting, we could implement them.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the plot_ica_properties entry point and reviewing how it currently summarizes ICA components. Determine the channel-oriented behavior requested in the issue, then verify that the function supports channels as well as components and that the relevant existing checks still pass.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100