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DOC: changed documentation for axvspan to numpydoc format #7267
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@@ -862,39 +862,50 @@ def axvspan(self, xmin, xmax, ymin=0, ymax=1, **kwargs): | |
""" | ||
Add a vertical span (rectangle) across the axes. | ||
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Call signature:: | ||
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axvspan(xmin, xmax, ymin=0, ymax=1, **kwargs) | ||
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*x* coords are in data units and *y* coords are in axes (relative | ||
0-1) units. | ||
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Draw a vertical span (rectangle) from *xmin* to *xmax*. With | ||
the default values of *ymin* = 0 and *ymax* = 1, this always | ||
Draw a vertical span (rectangle) from `xmin` to `xmax`. With | ||
the default values of `ymin` = 0 and `ymax` = 1. This always | ||
spans the yrange, regardless of the ylim settings, even if you | ||
change them, e.g., with the :meth:`set_ylim` command. That is, | ||
the vertical extent is in axes coords: 0=bottom, 0.5=middle, | ||
1.0=top but the *y* location is in data coordinates. | ||
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Return value is the :class:`matplotlib.patches.Polygon` | ||
instance. | ||
1.0=top but the y location is in data coordinates. | ||
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Examples: | ||
Parameters | ||
---------- | ||
xmin : scalar | ||
Number indicating the first X-axis coordinate of the vertical | ||
span rectangle in data units. | ||
xmax : scalar | ||
Number indicating the second X-axis coordinate of the vertical | ||
span rectangle in data units. | ||
ymin : scalar, optional | ||
Number indicating the first Y-axis coordinate of the vertical | ||
span rectangle in relative Y-axis units (0-1). Default to 0. | ||
ymax : scalar, optional | ||
Number indicating the second Y-axis coordinate of the vertical | ||
span rectangle in relative Y-axis units (0-1). Default to 1. | ||
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* draw a vertical green translucent rectangle from x=1.25 to 1.55 that | ||
spans the yrange of the axes:: | ||
Returns | ||
------- | ||
rectangle : matplotlib.patches.Polygon | ||
Vertical span (rectangle) from (xmin, ymin) to (xmax, ymax). | ||
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>>> axvspan(1.25, 1.55, facecolor='g', alpha=0.5) | ||
Other Parameters | ||
---------------- | ||
**kwargs | ||
Optional parameters are properties of the class | ||
matplotlib.patches.Polygon. | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Should link? |
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I think the There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. It wasn't removed; it just got a numpydoc heading instead of a sphinx one. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Ahh yes. I see that now. |
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Valid kwargs are :class:`~matplotlib.patches.Polygon` | ||
properties: | ||
See Also | ||
-------- | ||
axhspan | ||
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%(Polygon)s | ||
Examples | ||
-------- | ||
Draw a vertical, green, translucent rectangle from x = 1.25 to | ||
x = 1.55 that spans the yrange of the axes. | ||
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.. seealso:: | ||
>>> axvspan(1.25, 1.55, facecolor='g', alpha=0.5) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. What's the consensus on the style and "completeness" of examples like this? My thought is that something like: import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.axvspan(1.25, 1.55, facecolor='g', alpha=0.5)
plt.show() or a link to the gallery/examples would be better. I don't feel very strongly about that, though. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I agree that a full runnable example would be much better. I am not a big fan of links in the gallery as they are only good for sphinx rendered documentation, but do not render properly in terminal docstring. |
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:meth:`axhspan` | ||
for example plot and source code | ||
""" | ||
trans = self.get_xaxis_transform(which='grid') | ||
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We're still removing this here?
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The consensus is that the links are a better option.
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I think this is the general consensus to move away from these, and have nicer documentation on the artists themselves. At least that's what I understood from different conversation, even during the matplotlib call or on tickets.
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I may document this in a MEP somewhere.