| ========================================================================= | |
| MEP15: Fix axis autoscaling when limits are specified for one axis only | |
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| .. contents:: | |
| :local: | |
| Status | |
| ====== | |
| **Discussion** | |
| Branches and Pull requests | |
| ========================== | |
| None so far. | |
| Abstract | |
| ======== | |
| 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. | |
| Detailed description | |
| ==================== | |
| 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. | |
| 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. | |
| Implementation | |
| ============== | |
| I don't know enough about the internals of matplotlib to be able to suggest an | |
| implementation. | |
| Backward compatibility | |
| ====================== | |
| 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. | |
| Alternatives | |
| ============ | |
| The only alternative that I can see is to maintain the status quo. | |