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Add WFC3 notebook 'uvis_timedep_phot.ipynb' #113
Add WFC3 notebook 'uvis_timedep_phot.ipynb' #113
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Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
Harish here - the notebook matches all criteria. I did move the author list from the bottom to the top if that's absolutely necessary. |
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Everything looks good to me
@protonchain everything runs properly, you just have some PEP8 fixes and we should be able to merge to main 👍🏾 |
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Thank you for your work. I made some improvements to the notebook to assist you in the process. Specifically, I :
- Removed unused imports
- Corrected style errors
- Refactored the file paths to improve clarity.
- Fixed warning for the phot utils aperture deprecation
Relevant Tickets
This notebook checklist has been made available to us by the Notebooks For All team.
Its purpose is to serve as a guide for both the notebook author and the technical reviewer highlighting critical aspects to consider when striving to develop an accessible and effective notebook.
The First Cell
<h1>
or# in markdown
).1., 2.,
etc. in Markdown).The Rest of the Cells
#
in Markdown) used in the notebook.Text
Code
Images
All images (jpg, png, svgs) have an image description. This could be
alt
property)alt
attribute with no value)Any text present in images exists in a text form outside of the image (this can be alt text, captions, or surrounding text.)
Visualizations
All visualizations have an image description. Review the previous section, Images, for more information on how to add it.
Visualization descriptions include
All visualizations and their parts have enough color contrast (color contrast checker) to be legible. Remember that transparent colors have lower contrast than their opaque versions.
All visualizations convey information with more visual cues than color coding. Use text labels, patterns, or icons alongside color to achieve this.
All visualizations have an additional way for notebook readers to access the information. Linking to the original data, including a table of the data in the same notebook, or sonifying the plot are all options.