I'm still investigating for my segmentation fault pb with matplotlib and
Tkagg,
but now, I have no more idea.
Here is a summary of my investigations :
=
CONFIGURATION
=
I'm trying to make a local installation of the following programs on a
GNU/Linux i686 (32 bits)
Lionel Roubeyrie wrote:
> Hi all,
> I'm sure it's a trivial question, but can't find any valid answer in the
> basemap examples directory or with google : I have a georeferenced TIFF file
> in 'lcc' projection, representing a little portion of France, and I need to
> put it on a map, resets map
I'm having a couple of problems drawing a basic relational scatter plot.
(Specifically, it's called a dot-dash-plot in the book I have and is
described as "framing the bivariate scatter with the marginal distribution
of each variable.") The idea is that you have a bivariate scatter plot
and use the
To me it sounds like the bounding box is miscalculated when the axis are
turned off.
What you could do as a workaround, is add a fill to the figure that has the
exact same size as the axis box. Maybe then, when you turn the axis off it
will keep the same size? May be an ugly workaround, but worth a
Hi all,
I'm sure it's a trivial question, but can't find any valid answer in the
basemap examples directory or with google : I have a georeferenced TIFF file
in 'lcc' projection, representing a little portion of France, and I need to
put it on a map, resets map limits to a closed portion of the
Hi Mark,
On Tue, Feb 26, 2008 at 11:30:55AM +0100, Mark Bakker wrote:
> As a workaround, can you just turn the axis box and ticks off?
>
> xticks([])
> yticks([])
> setp(ax,'frame_on',False)
>
> Or does that give the same problem?
Unfortunately the problem also occurs when I replace the axis("o
As a workaround, can you just turn the axis box and ticks off?
xticks([])
yticks([])
setp(ax,'frame_on',False)
Or does that give the same problem?
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>Date: Fri, 22 Feb 2008 08:15:34 -0600
>From: "John Hunter" <[EMAIL PROTECTED]>
>Subject: Re: [Matplotlib-users] What is the proper way to set y tick
> labelsfor a histogram ?
>To: " Aur? Gourrier " <[EMAIL PROTECTED]>
>Cc: matplotlib-users@lists.sourceforge.net
>Message-ID:
> <[EMAIL PRO
Yep, that's what I did in the end... it also means that a simple argument could
be added to the axes.hist() to do such operation, I described this in a
previous post (see below, changes are in major cap).
Thanks for the tip,
Aure
def hist(self, x, bins=10, RELPERCENT = 1, normed=0, bottom=No
