On Fri, Dec 9, 2011 at 5:23 PM, Tony Yu <tsy...@gmail.com> wrote:
>
>
> On Fri, Dec 9, 2011 at 4:11 PM, Daniel Hyams <dhy...@gmail.com> wrote:
>
>> I'm sorry, I should have stated the version. I'm using 1.0.0, which just
>> returns a list of rectangle artists.
>>
>>
>> On Fri, Dec 9, 2011 at 4:08 PM, Benjamin Root <ben.r...@ou.edu> wrote:
>>
>>> On Fri, Dec 9, 2011 at 2:55 PM, Daniel Hyams <dhy...@gmail.com> wrote:
>>>
>>>> Tried, but unfortunately it did not make any difference :(
>>>>
>>>>
>>> Just as an interesting point... don't know if it means anything. In
>>> v1.1.x, we now return a "BarContainer" from the bar() function. This
>>> container subclasses the tuple type, which is why you are still able to
>>> treat it like a list. Anyway, this class does a bunch of things that I
>>> wonder if it could be interfering with what you are trying to do. Probably
>>> not, but still...
>>>
>>> Ben Root
>>>
>>>
>>
>>
>> --
>> Daniel Hyams
>> dhy...@gmail.com
>>
>
> So I think the problem is that ``plt.bar`` assigns a transform to each
> patch (as it should). But then when pass these patches to PatchCollection,
> the collection applies it's own transform (but doesn't ignore the patch's
> transform, apparently). The solution is to clear out the transform on each
> patch---where "clearing" a transform translates to setting it to the
> IdentityTransform.
>
> Below is code that works *on my system*. It sounds like it will work
> slightly differently on your system:
>
>
> #!/usr/bin/env python
> import numpy
> import matplotlib.pyplot as plt
> import matplotlib.collections
> import matplotlib.transforms as transforms
>
>
> # just generate some data to plot
> x = numpy.linspace(0.0,2.0*numpy.pi,10)
> y = numpy.sin(x)
>
> # plot
> axes = plt.gca()
> bars = plt.bar(x,y,color='red',width=0.1)
>
> axes.patches = []
> for p in bars.patches:
> p.set_transform(transforms.IdentityTransform())
>
> ## and create a collection for plotting the rectangles instead.
> coll = matplotlib.collections.PatchCollection(bars.patches)
>
> coll.set_transform(axes.transData)
> axes.add_collection(coll, autolim=True)
>
> plt.xlim(0.0,2.0*numpy.pi)
> plt.grid(True)
> plt.show()
>
>
>
P.S. you don't need the call to set_transform that I accidentally added.
------------------------------------------------------------------------------
Cloud Services Checklist: Pricing and Packaging Optimization
This white paper is intended to serve as a reference, checklist and point of
discussion for anyone considering optimizing the pricing and packaging model
of a cloud services business. Read Now!
http://www.accelacomm.com/jaw/sfnl/114/51491232/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
