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Fix mplot3d projection #16472
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Merged
anntzer
merged 5 commits into
matplotlib:master
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eric-wieser:fix-mplot3d-projection
Feb 11, 2020
Merged
Fix mplot3d projection #16472
anntzer
merged 5 commits into
matplotlib:master
from
eric-wieser:fix-mplot3d-projection
Feb 11, 2020
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Fixes matplotlibgh-8894, by always using a "position" that maintains a uniform coordinate system. Test added - when viewed from above, the plot should be square not rhombic.
…ously This sets it to have a 4:3 aspect ratio, which matches what would result from a typical figure layout
As requested in review feedback - since all the images changed, may as well restyle them. Note that this restyling caused a test to become platform-dependent on the anti-aliasing on the edges of a narrow line - presumably due to the resolution decrease making the line narrower - so a non-zero `tol` value was added.
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jklymak
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Seems to be passing!
anntzer
approved these changes
Feb 11, 2020
I'll wait for travis to pass too. |
travis failure is spurious. |
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tacaswell
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May 27, 2020
To make bbox_inches='tight' work correctly, we cache the positions of all of the axes, change their aspect to 'auto', adjust the transforms on the figure, render the output, and then restore the previous setting of aspect to each of the figures. This prevent the Axes from trying to adjust their size on draw. This matters because for the render that is emitted the figure transforms are out of sync with the figure size. As part of cleaning fixing the rendering of Axes3D in matplotlib#8896 / matplotlib#16472 we started to use apply_aspect to re-size the area the Axes3D takes up to maintain a fixed ratio between the axes when the aspect is "auto". However this conflicts with the expectation in tight_bbox.adjust_bbox as it assumes setting the aspect to "auto" will prevent any axes resizing. This commit addresses this by: - exiting the Axes3D.apply_aspect early if aspect is auto - adding a new aspect mode 'auto_pb' which is the default for Axes3D which maintains the current master branch behavior of maintaining a fixed ratio between the sizes of the x, y z axis independent of the data limits. - re implement several functions on Axes3D to make sure they handle sharez correctly. closes matplotlib#16463.
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tacaswell
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May 30, 2020
The way that bbox_inches='tight' is implemented we need to ensure that we do not try to adjust the aspect during the draw (because we have temporarily de-coupled the reported figure size from the transforms which results in the being distorted). Previously we did not have a way to fix the aspect ratio in screen space of the Axes (only the aspect ratio in dataspace) however in 3.3 we gained this ability for both Axes (matplotlib#14917) and Axes3D (matplotlib#8896 / matplotlib#16472). Rather than add an aspect value to `set_aspect` to handle this case, in the tight_bbox code we monkey-patch the `apply_aspect` method with a no-op function and then restore it when we are done. Previously we would set the aspect to "auto" and restore it in the same places. closes matplotlib#16463.
tacaswell
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Jun 4, 2020
The way that bbox_inches='tight' is implemented we need to ensure that we do not try to adjust the aspect during the draw (because we have temporarily de-coupled the reported figure size from the transforms which results in the being distorted). Previously we did not have a way to fix the aspect ratio in screen space of the Axes (only the aspect ratio in dataspace) however in 3.3 we gained this ability for both Axes (matplotlib#14917) and Axes3D (matplotlib#8896 / matplotlib#16472). Rather than add an aspect value to `set_aspect` to handle this case, in the tight_bbox code we monkey-patch the `apply_aspect` method with a no-op function and then restore it when we are done. Previously we would set the aspect to "auto" and restore it in the same places. closes matplotlib#16463.
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Redo of gh-8896, which was force-pushed out of the history.
There is now only a single commit with image updates.
It is likely that the images are wrong, because my machine does not produce CI-compatible images.