Bug fix issue 3224 - avoid NaN values for axis dticks #3233
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archmoj
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src/plots/cartesian/axes.js
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| if(ax.dtick === 0) ax.dtick = 1; | ||
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| // prevent issue https://github.com/plotly/plotly.js/issues/3224 | ||
| if(Number.isNaN(ax.dtick)) ax.dtick = 1; |
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Do we know under which circumstances ax.dtick comes through as NaN here?
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It could simply be triggered for example using gl3d_ibm-plot by panning the graph to outside.
I am wondering now that we may need to replace the condition checks in few other places there too? Noting that isNumeric(NaN)returns false; it skips the adjustment blocks starting with if(!isNumeric(...
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It could simply be triggered for example using gl3d_ibm-plot by panning the graph to outside.
Hmm. I can't replicate. Can you take a screenshot of
gd._fullLayout.scene.camera.eyein the console once after that error appears.
I am wondering now that we may need to replace the condition checks in few other places there too?
I'm actually thinking the opposite: we shouldn't be calling Axes.autoTicks in the first place whenever ditck===NaN. But first, I'll like to know how this happens.
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I'm actually thinking the opposite: we shouldn't be calling
Axes.autoTicksin the first place wheneverditck===NaN. But first, I'll like to know how this happens.
Agreed. For one thing, dtick=1 would draw 1000 ticks on date or otherwise large-range axes which would bog things down and look ugly. What's roughDTick when we get NaN here, and why?
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And this is another example example now without date and logs.
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Right, this is consistent with what I was thinking: we get those Uncaught ax.dtick error: NaN errors in the console in situations where ticks can't be seen.
Somewhere at the end of this |
archmoj
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Great fix 💃 |
src/plots/gl3d/layout/tick_marks.js
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| if(Math.abs(axes._length) === Infinity) { | ||
| if(Math.abs(axes._length) === Infinity || | ||
| Math.abs(axes._length) === -Infinity || |
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wait, how can Math.abs(...) === -Infinity?
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Thanks for the note. Just removed that line.
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Thanks. Anyway much better to fix the issue here than in axes.js!
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Fixes #3224 by checking
ax._lengthvalues not to be NaN@etpinard