> "Christopher" == Christopher Barker <[EMAIL PROTECTED]> writes:
Christopher> This sounds like a job for properties! make
Christopher> _transform a property, and code that gets and sets it
Christopher> directly should still work. though People that were
Christopher> accessing
John, Tom,
I don't understand how generation of the identity transform for each
Artist instance could possibly be a significant overall slowdown; it
should be very fast, and only a small part of the time required to
actually do anything useful with an Artist instance. I am wondering
whether t
John Hunter wrote:
> I'm hesitant to make a single (shared) identity transform since
> transforms are mutable.
Couldn't you make one that was immutable (is that possible in Python)?
Or even just have a convention that you don't mutate the identity
transform (though it could be way to late for th
> "Eric" == Eric Emsellem <[EMAIL PROTECTED]> writes:
Eric> Hi, I am trying to overplot symbols on a region filled (with
Eric> pale grey color) between two curves. For some reason the
Eric> filled region is always ON TOP of the symbols so that I
Eric> don't see them..
Eri
Hi,
I am trying to overplot symbols on a region filled (with pale grey
color) between two curves.
For some reason the filled region is always ON TOP of the symbols so
that I don't see them..
(I wanted to use transparency with alpha, but then it is to build a
postscript figure which does not suppo
> "Tom" == Tom Denniston <[EMAIL PROTECTED]> writes:
Tom> I've been profiling some of my code which builds many
Tom> somewhat complex graphs. I've noticed that it spends almost
Tom> all it's time in the __init__ of the artist class. The time
Tom> there is almost entirely spen
I've been profiling some of my code which builds many somewhat complex
graphs. I've noticed that it spends almost all it's time in the
__init__ of the artist class. The time there is almost entirely spent
on calling identity_transform which builds a SeperableTransform that
does no transforming--f
Piter_ wrote:
> If I start python (2.3).
>
> >from pylab import *
> plot([1,2,3])
> nothing happens.
what if you then type:
show()
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/NOS/OR&R(206) 526-6959 voice
7600 Sand Point Way NE (206) 52
Hi John,
* John Hunter
<[EMAIL PROTECTED]>
wrote:
>> "Fabian" == Fabian Braennstroem <[EMAIL PROTECTED]> writes:
>
>>> I am trying to install matplotlib 0.87.7 with my newly separate
>>> installed python 2.5. For this I installed 'pygtk 2.4.1' and
>>> numpy 1.0 using this python
> "Fabian" == Fabian Braennstroem <[EMAIL PROTECTED]> writes:
>> I am trying to install matplotlib 0.87.7 with my newly separate
>> installed python 2.5. For this I installed 'pygtk 2.4.1' and
>> numpy 1.0 using this python 2.5 installation. Now, running
>> 'python2.5 setup.py
> "Piter" == Piter <[EMAIL PROTECTED]> writes:
Piter> Hi all. I am new user of matplot-lib and Python. I try to
Piter> find replacement for matlab. Now I use Debian-testing but
Piter> my experience with it is little. I have reinstalled system
Piter> few days ago and matplot
> "Brent" == Brent Fillery <[EMAIL PROTECTED]> writes:
Brent> Hi All
Brent> I am new to Matplotlib, and was wondering if anybody knew
Brent> of an easy way to construct a dropline from a data point in
Brent> a plot to the x axis, i.e. a vertical line from (x1,y1) to
Brent>
Hi all.
I am new user of matplot-lib and Python. I try to find replacement for
matlab.
Now I use Debian-testing but my experience with it is little.
I have reinstalled system few days ago and matplotlib is not working now.
If I start python (2.3).
from pylab import *
plot([1,2,3])
nothing happe
Again, the problem with the sample you supply is that you are making 2-D
arrays where what you need are 1-D arrays. Simply flattening y and pred
before using them makes the script work fine, as attached. Or make them
1-D in the first place.
Eric
Giorgio Luciano wrote:
Thanks to all for the
Thanks to all for the replies :)
I used a tuple to solve the problem because I dind't manage to reshape
my array since it comes from a previous slicing, but not it seems to work.
Is it the same problem because this doesn't work ?
from pylab import *
y=array([[ 1.02], [ 1.05], [ 1.03], [ 0.99], [
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