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view
: convert integer to floating to enable masking with nan
#1289
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+ view.viewer.plot(): convert integer to floating to enable masking with nan for one subplot scenario
Reviewer's Guide by SourceryThe PR modifies the data type conversion logic in the plotting functionality to properly handle no-data values by converting integer arrays to floating-point before applying NaN masking. This ensures correct visualization when masking is needed. No diagrams generated as the changes look simple and do not need a visual representation. File-Level Changes
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PR summaryThis Pull Request addresses an issue in the SuggestionTo improve the clarity of the code, consider adding a comment explaining why the conversion from integer to floating-point is necessary, especially for those who might not be familiar with the limitations of Disclaimer: This comment was entirely generated using AI. Be aware that the information provided may be incorrect. Current plan usage: 0.00% Have feedback or need help? |
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Hey @yunjunz - I've reviewed your changes - here's some feedback:
Overall Comments:
- There appears to be an unrelated comment about byte order ('# big-endian') in readfile.py - was this intended to be included in this PR?
Here's what I looked at during the review
- 🟡 General issues: 2 issues found
- 🟢 Security: all looks good
- 🟢 Testing: all looks good
- 🟢 Complexity: all looks good
- 🟢 Documentation: all looks good
Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
Description of proposed changes
view.viewer.plot()
: convertinteger
tofloating
to enable masking withnan
for one subplot scenarioReminders
Summary by Sourcery
Convert integer data types to floating point in the plot function to enable masking with NaN values, ensuring proper handling of no-data values.
Bug Fixes:
Enhancements: