Hi --
I'm just starting with matplotlib and scipy on a Mac. I was able to get some
plots to work under X (using the gtk+ renderer), but I wanted to avoid that and
use CocoaAgg (that's the best option for mac, right?)
When using the default renderer, it looks like the window (under X11) was in
Christopher Barker wrote:
[...]
> It is nice to have a really simple plot command. What would it do if we
> were trying to be fully OO? My key question is whether it would return
> and axis, a figure or both:
>
> Fig, ax = plot([1,2,3])
>
> then:
>
> ax.xlabel("whatever")
>
> isn't bad for me
John Hunter wrote:
> On 2/27/07, Christopher Barker <[EMAIL PROTECTED]> wrote:
>> There is nothing inherent in OO
>> design that makes it necessary to write a bunch more code.
>
> I don't agree with this at all. Inherent in OO design is object
> creation, attribute setting and method calling.
On 3/2/07, John Hunter <[EMAIL PROTECTED]> wrote:
John said:
...here is the minimal interface that
appears to work
class C(object):
def __init__(self):
self._data = (1,2,3,4,5)
def __getitem__(self, i):
return self._data[i]
def __len__(self):
return len(se
On Thu, 1 Mar 2007, Eric Firing wrote:
> I agree, and this is a problem with spy also. If I remember, I will fix it.
> It is only a minor annoyance, so it is low priority, though.
>
> There is a difference in the way the axes are labeled between spy and
> matshow, and I would like to change m
Hi!
I created scatter3d plot with ca. 2000 points and i'm experiencing very,
very slow behavior in the interactive window. Rotate/move/zoom options are
not usable actually. Does anyone else experience this problem?
--
Marek Wojciechowski
-
On 3/2/07, Alan Isaac <[EMAIL PROTECTED]> wrote:
> John asked:
> > What is the minimum interface for an object to be
> > converted to a numpy sequence via as array?
>
> The class must inherit from object.
> That will probably do it.
> If all else fails, try fromiter.
>
I know it works with fromi
On Friday 02 March 2007 14:12:24 John Hunter wrote:
> I still am not able to make my mock-up custom python class work as I
> would like with asarray (though it works with "list"). What am I
> missing? The way I read it this appears to be in support of extension
> code that wants to expose the ar
John asked:
> What is the minimum interface for an object to be
> converted to a numpy sequence via as array?
The class must inherit from object.
That will probably do it.
If all else fails, try fromiter.
Alan Isaac
-
Take
On 3/2/07, Christopher Barker <[EMAIL PROTECTED]> wrote:
> This sounds like EXACTLY the type of object that the array interface is
> supposed to support. So what you need to do is give your object an array
> interface:
>
> http://numpy.scipy.org/array_interface.shtml
I still am not able to make m
[EMAIL PROTECTED] writes:
> The method proposed by Jouni appears to work too:
> gca().yaxis.set_major_locator(LinearLocator())
> but it created too many labels.
It's just the default behavior. Please see
http://matplotlib.sourceforge.net/matplotlib.ticker.html#LinearLocator
or simply query the
Thanks to the reply, John (Hunter).
That's it. The method proposed by Jouni appears to work too:
gca().yaxis.set_major_locator(LinearLocator())
but it created too many labels.
The set_ytinks call is the key. The set_ylim doesn't seem to be necessary.
Now I have to study and see how I can i
John Hunter wrote:
> But numpy.asarray, which is what mpl uses to convert inputs to
> arrays,
The whole idea of asarray, is that it should be able to convert properly
defined objects without even copying the data.
> my own custom class which contains data members, methods and an array
> of data (
On 3/2/07, [EMAIL PROTECTED]
<[EMAIL PROTECTED]> wrote:
> Somebody at the usenet suggested that I play with the ticker formatter and
> locator. While that helped the multi-color sample I cited, it didn't help
> in my plots. The formatter only controls how the y-axis labels are
> formatted, w
[EMAIL PROTECTED] writes:
> Somebody at the usenet suggested that I play with the ticker
> formatter and locator. While that helped the multi-color sample I
> cited, it didn't help in my plots. The formatter only controls how
> the y-axis labels are formatted, whereas AFAIK the locator only
> affe
On 3/2/07, Simon Wood <[EMAIL PROTECTED]> wrote:
python > Out of the box matplotlib works great with Numeric and
numarray data types.
> However, I have my own custom class which contains data members, methods and
> an array of data (underlying C array). Is there a way to expose the C array
> data
Somebody at the usenet suggested that I play with the ticker formatter and
locator. While that helped the multi-color sample I cited, it didn't help in
my plots. The formatter only controls how the y-axis labels are formatted,
whereas AFAIK the locator only affects the values of the ymajor a
Jouni K. Seppänen <[EMAIL PROTECTED]> writes:
> Anand Patil <[EMAIL PROTECTED]> writes:
>> - When I inserted some of my old pdf plots into a latex presentation, to
>> my surprise their foreground color had changed from black to the color
>> of the text in the presentation. Is there a way to sign
On Fri, Mar 02, 2007 at 08:46:24AM -0600, Glen W. Mabey wrote:
> P.S. You may also need to implement functions like __len__; if these
> concepts are well-defined for your class, then it should be a very
> straightforward process.
But the problem is (if your experience is similar to mine) that then
On Fri, Mar 02, 2007 at 08:44:02AM -0600, Glen W. Mabey wrote:
> One approach that I've used recently is to simply provide functionality
> for the [] operator (done by implementing the __getslice__ member
> function) that accesses the data according to standard slicing rules.
> Then, you can use pl
On Fri, Mar 02, 2007 at 09:41:03AM -0500, Simon Wood wrote:
> Out of the box matplotlib works great with Numeric and numarray data types.
> However, I have my own custom class which contains data members, methods and
> an array of data (underlying C array). Is there a way to expose the C array
> da
Anand Patil <[EMAIL PROTECTED]> writes:
> - How can I make my figures and axes transparent by default?
Here's one idea:
In [1]:fig=figure(frameon=False)
In [2]:ax = fig.add_subplot(111, frameon=False)
In [3]:ax.plot([3,1,
Out of the box matplotlib works great with Numeric and numarray data types.
However, I have my own custom class which contains data members, methods and
an array of data (underlying C array). Is there a way to expose the C array
data to the plot() routines? For example I would like to be able to u
[EMAIL PROTECTED] writes:
> a) 2.3 doesn't have the sorted function - it uses a .sort()
> function. So, I had to change line 487 from:
I think this was taken care of by Nicolas Grilly's recent patch.
> b) No update() function (line 396)
> for (name, value) in self.markers.items():
>
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