In general, the intent of the Stineman interpolation is not so much to
follow certain mathematical criteria, but more to provide a "visually
pleasing" smooth interpolation. In other words: the interpolated curve
typically is what the human eye would choose as smooth interpolation. It
gives "goo
Before my work in 2004, the colors were not following the line color at
all, which was clearly bad behavior.
Now, there are two categories: filled markers (with edge color black and
filling following the line color) and non-filled markers (with edge
color following line color).
The black edge
Sorry for my misleading words - I did not correctly recall my own work
from back then...
In fact, the code as it is does not change the mec automatically when
the mfc of a filled_marker is set to "None" but leaves it black. I did
consider adding an automation to change but decided against it. T
mfc="None" does the job. mec should then default to the line color.
C M wrote:
> Sorry this is a basic question but I can't figure out where
> in the docs nor archives I could find this.
>
> Is there a built in method for having unfilled markers?
> (ones that match the line color).
>
> I could se
Thanks! Perfect! I *love* matplotlib!!!
Darren Dale wrote:
> On Saturday 12 April 2008 7:19:32 am Norbert Nemec wrote:
>
>> Hi there,
>>
>> I often have the case that I want to view different data sets that share
>> one axis. Imagine, for example, a ti
even interactive sessions.)
Thanks for your help!
Greetings,
Norbert Nemec
-
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Robert Dailey wrote:
> 1) Is there any way to represent vectors? Currently I'm using 'array'
> for vectors.
There is no explicit 'vector' representation. You may view vectors as
either column or row vectors and represent them as 1xN or Nx1 matrices.
In that case, the linear algebra like matrix prod
line and call legend() without arguments at the end. This
approach is much more comfortable than using arguments to legend itself,
as you do not need to keep track of handles and labels with every change
that you make in the plotting script.
Greetings,
Norbert
Norbert Nemec wrote:
> This is the re
This is the result of a change that I committed in between 0.90.0 and
0.90.1 - sorry if it caused confusion...
The idea is exactly what you observed: legend() only displays those
lines that have an explicit label set.
If a certain line in a figure does not have a label, I think it is
rather point
appears internally in Axes.legend()
Jouni K. Seppänen wrote:
> Norbert Nemec <[EMAIL PROTECTED]> writes:
>
>
>> Thanks for the hint. I just fixed the problem in SVN.
>>
>
> I thought I had fixed this in March... see
> http://thread.gmane.org/gmane.comp.
Thanks for the hint. I just fixed the problem in SVN.
No idea how this problem would have popped up recently. I did some
changes in legend just before 0.90.1, but I do not see how these would
have caused the problem to show up. From what I see, the flaw should
have been there all along. Well, what
John Hunter wrote:
>> "Karl" == Karl Guertin <[EMAIL PROTECTED]> writes:
>>
>
> Karl> I have a very customized matplotlibrc for rendering charts
> Karl> for web pages. The biggest change is that I render
> Karl> everything white on black by default. This has worked
I do not see a reason why the problem should be related. If the problem
persists with the latest SVN version, could you please file a bug report?
[EMAIL PROTECTED] wrote:
> Hi,
>
> some times ago I saw that the rgb color was not working anymore, the hexa
> code
> yes but not the rgb.
>
> marke
Hi Stefan,
as of rev. 2800, the problem should be solved. For more details, see the
discussion about "marker color handling" on matplotlib-devel.
Greetings,
Norbert
Stefan van der Walt wrote:
> Hi all
>
> The marker behaviour changed in
>
> --
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