On Saturday 27 February 2010 07:39:59 David Arnold wrote:
> All,
>
> On: http://matplotlib.sourceforge.net/users/artists.html
>
> In the Axes Container section, you can see in what follows that I got some
> very different responses than what is shown on the page:
>
> In [1]: fig=figure()
>
> In [3]: ax=fig.add_subplot(111)
>
> In [4]: rect=matplotlib.patches.Rectangle((1,1),width=5,height=12)
>
> In [5]: print rect.get_axes()
> ------> print(rect.get_axes())
> None
>
> In [6]: print rect.get_transform()
> ------> print(rect.get_transform())
> BboxTransformTo(Bbox(array([[ 1., 1.],
> [ 6., 13.]])))
>
> In [7]: ax.add_patch(rect)
> Out[7]: <matplotlib.patches.Rectangle object at 0x2144db0>
>
> In [8]: print rect.get_axes()
> ------> print(rect.get_axes())
> Axes(0.125,0.1;0.775x0.8)
>
> In [9]: print rect.get_transform()
> ------> print(rect.get_transform())
> CompositeGenericTransform(BboxTransformTo(Bbox(array([[ 1., 1.],
> [ 6., 13.]]))),
> CompositeGenericTransform(TransformWrapper(BlendedAffine2D(IdentityTransfor
>m(),IdentityTransform())),
> CompositeAffine2D(BboxTransformFrom(TransformedBbox(Bbox(array([[ 0., 0.],
> [ 1., 1.]])),
> TransformWrapper(BlendedAffine2D(IdentityTransform(),IdentityTransform())))
>), BboxTransformTo(TransformedBbox(Bbox(array([[ 0.125, 0.1 ], [ 0.9 ,
> 0.9 ]])), BboxTransformTo(TransformedBbox(Bbox(array([[ 0., 0.], [ 8.,
> 6.]])), Affine2D(array([[ 80., 0., 0.],
> [ 0., 80., 0.],
> [ 0., 0., 1.]])))))))))
>
> In [10]: print ax.transData
> -------> print(ax.transData)
> CompositeGenericTransform(TransformWrapper(BlendedAffine2D(IdentityTransfor
>m(),IdentityTransform())),
> CompositeAffine2D(BboxTransformFrom(TransformedBbox(Bbox(array([[ 0., 0.],
> [ 1., 1.]])),
> TransformWrapper(BlendedAffine2D(IdentityTransform(),IdentityTransform())))
>), BboxTransformTo(TransformedBbox(Bbox(array([[ 0.125, 0.1 ], [ 0.9 ,
> 0.9 ]])), BboxTransformTo(TransformedBbox(Bbox(array([[ 0., 0.], [ 8.,
> 6.]])), Affine2D(array([[ 80., 0., 0.],
> [ 0., 80., 0.],
> [ 0., 0., 1.]]))))))))
>
> In [11]: print ax.get_xlim()
> -------> print(ax.get_xlim())
> (0.0, 1.0)
>
> In [12]: print ax.dataLim.get_bounds()
> -------> print(ax.dataLim.get_bounds())
> ---------------------------------------------------------------------------
> AttributeError Traceback (most recent call last)
>
> /Library/Frameworks/Python.framework/Versions/6.0.0/Examples/matplotlib-0.9
>9.1.1/event_handling/<ipython console> in <module>()
>
> AttributeError: 'Bbox' object has no attribute 'get_bounds'
>
> In [13]: ax.autoscale_view()
>
> In [14]: print ax.get_xlim()
> -------> print(ax.get_xlim())
> (1.0, 6.0)
>
> In [15]: ax.figure.canvas.draw()
>
> David.
Hi David,
The biggest difference occurs for
print ax.dataLim.get_bounds()
because this method has been replaced by the property
print ax.dataLim.bounds
as is mentioned in the API-changes, but didn't find his way into this
documentation.
I attached a patch with modified documentation and further replacements
of 'get_bounds' in current svn. Could any of the developers have a look at it
and commit these changes or should a post the patch at the patch-tracker?
Kind regards,
Matthias
Index: doc/users/artists.rst
===================================================================
--- doc/users/artists.rst (revision 8171)
+++ doc/users/artists.rst (working copy)
@@ -419,7 +419,7 @@
# and notice that the ax.add_patch method has set the axes
# instance
In [267]: print rect.get_axes()
- Subplot(49,81.25)
+ Axes(0.125,0.1;0.775x0.8)
# and the transformation has been set too
In [268]: print rect.get_transform()
@@ -434,7 +434,7 @@
(0.0, 1.0)
# but the data limits have been updated to encompass the rectangle
- In [271]: print ax.dataLim.get_bounds()
+ In [271]: print ax.dataLim.bounds
(1.0, 1.0, 5.0, 12.0)
# we can manually invoke the auto-scaling machinery
Index: lib/matplotlib/finance.py
===================================================================
--- lib/matplotlib/finance.py (revision 8171)
+++ lib/matplotlib/finance.py (working copy)
@@ -597,8 +597,8 @@
maxy = max([volume for d, open, close, high, low, volume in quotes])
corners = (minpy, miny), (maxx, maxy)
ax.update_datalim(corners)
- #print 'datalim', ax.dataLim.get_bounds()
- #print 'viewlim', ax.viewLim.get_bounds()
+ #print 'datalim', ax.dataLim.bounds
+ #print 'viewlim', ax.viewLim.bounds
ax.add_collection(barCollection)
ax.autoscale_view()
Index: lib/matplotlib/patches.py
===================================================================
--- lib/matplotlib/patches.py (revision 8171)
+++ lib/matplotlib/patches.py (working copy)
@@ -1414,12 +1414,12 @@
pad = props.pop('pad', 4)
pad = renderer.points_to_pixels(pad)
bbox = artist.get_window_extent(renderer)
- l,b,w,h = bbox.bounds
- l-=pad/2.
- b-=pad/2.
- w+=pad
- h+=pad
- r = Rectangle(xy=(l,b),
+ l, b, w, h = bbox.bounds
+ l -= pad/2.
+ b -= pad/2.
+ w += pad
+ h += pad
+ r = Rectangle(xy=(l, b),
width=w,
height=h,
fill=fill,
@@ -1438,8 +1438,8 @@
to test whether the artist is returning the correct bbox.
"""
- l,b,w,h = bbox.get_bounds()
- r = Rectangle(xy=(l,b),
+ l, b, w, h = bbox.bounds
+ r = Rectangle(xy=(l, b),
width=w,
height=h,
edgecolor=color,
Index: lib/matplotlib/backends/backend_wxagg.py
===================================================================
--- lib/matplotlib/backends/backend_wxagg.py (revision 8171)
+++ lib/matplotlib/backends/backend_wxagg.py (working copy)
@@ -171,7 +171,7 @@
"""
Convert the region of a wx.Image bounded by bbox to a wx.Bitmap.
"""
- l, b, width, height = bbox.get_bounds()
+ l, b, width, height = bbox.bounds
r = l + width
t = b + height
@@ -238,7 +238,7 @@
Note: agg must be a backend_agg.RendererAgg instance.
"""
- l, b, width, height = bbox.get_bounds()
+ l, b, width, height = bbox.bounds
r = l + width
t = b + height
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