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| MEP15: Fix axis autoscaling when limits are specified for one axis only |
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| .. contents:: |
| :local: |
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| Status |
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| **Discussion** |
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| Branches and Pull requests |
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| None so far. |
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| Abstract |
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| When one Axis of a 2-dimensional plot is overridden via `~.Axes.set_xlim` or |
| `~.Axes.set_ylim`, automatic scaling of the remaining Axis should be based on |
| the data that falls within the specified limits of the first Axis. |
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| Detailed description |
| ==================== |
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| When axis limits for a 2-D plot are specified for one axis only (via `~.Axes.set_xlim` or |
| `~.Axes.set_ylim`), matplotlib currently does not currently rescale the other axis. The |
| result is that the displayed curves or symbols may be compressed into a tiny |
| portion of the available area, so that the final plot conveys much less |
| information than it would with appropriate axis scaling. |
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| The proposed change of behavior would make matplotlib choose the scale for the |
| remaining axis using only the data that falls within the limits for the axis |
| where limits were specified. |
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| Implementation |
| ============== |
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| I don't know enough about the internals of matplotlib to be able to suggest an |
| implementation. |
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| Backward compatibility |
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| From the standpoint of software interfaces, there would be no break in |
| backward compatibility. Some outputs would be different, but if the user |
| truly desires the previous behavior, he/she can achieve this by overriding |
| the axis scaling for both axes. |
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| Alternatives |
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| The only alternative that I can see is to maintain the status quo. |
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