[Doc]: A few problems on Image resampling page #29541
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For sure a few things probably changed after this page was written. Any help you could give with it would be appreciated! |
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In response to the original text regarding floating-point imprecision, I’ve added the following lines to clarify the behavior in the first panel of the example:
Please let me know if this revision accurately reflects the intended behavior or if further adjustments are needed. |
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Documentation Link
https://matplotlib.org/devdocs/gallery/images_contours_and_fields/image_antialiasing.html
Problem
I was reading this docs page to better understand the changes in #28061, and I noticed a few things I think need fixing:
Just before the "Down-sampling and modest up-sampling" header, it says "For both keyword arguments, Matplotlib has a default "antialiased"...", but that default is now
auto.Just before the "Up-sampling" header, the example is discussing how in the first panel, "floating point imprecision makes some of the data values just a bit less than zero or a bit more than 2.0, and they get assigned the under- or over- colors". I don't see that occurring in the first panel of the plot. I see this:
but I wonder if it's supposed to look more like this plot from #28061:
What I see currently in the docs is also what I get running the example locally, though. If what I see in the docs is intended,
In that same example, it says "In the following, the data in the upper 100 rows is exactly 0.0, and data in the inner circle is exactly 2.0." Aren't the values of exactly 0.0 in the outer circle, not the upper 100 rows?
Lastly, again in that example, "(interpolation set set to 'nearest')" has an extra "set".
Suggested improvement
No response
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