"Derek Hohls" <[EMAIL PROTECTED]> writes:
> In [9]: ax.set_xlim()?
> I get
> Object `ax.set_xlim()` not found.
You need to do ax.set_xlim? without the parentheses.
> You suggested:
> "The list you want is precisely the output of the getp command."
> But for the getp? , I get:
I meant the o
The colors come from the current colormap. You can go all out and
make your own colormap and color based on index using your map. I
don't know how to do that off the top of my head though.
On 8/21/06, rich kowalczyk <[EMAIL PROTECTED]> wrote:
> I understand that 3D plotting is not fully working
I understand that 3D plotting is not fully working yet, but I have a
question that might be answerable anyway.
I can get a nice looking 3D plot of my data using
surf = ax3d.plot_surface(x, y, z)
but I can't control the colors used in the plot. I can do a
surf.set_array(ColorArray)
and the con
Jim,
Look at examples/image_masked.py. I think that is the only example with
pointed ends, and I think it was present as-is in 0.87.3.
Eric
James Boyle wrote:
> I am using matplotlib 0.87.3
>
> The documentation of colorbar in color.py seems to indicate that one
> should be able to create a
I am using matplotlib 0.87.3
The documentation of colorbar in color.py seems to indicate that one
should be able to create a color bar with pointed ends, the fill color
of the ends corresponding to the over and under colors.
I have not been able to get this to work. I have set the
colormap.se
Hi, thanks for the link to the screen capture tool. I've been looking for
something like it (similar to MS OneNote sort of), but haven't found one.
The figure window by default has a button that allows you to save the image.
As for your increased precision, I recently discovered Python's decimal
I am using the Navigation toolbars mode and I wonder if I should the
attribute or if it can change in a future release ?
The attribute I am talking about is defined in backend_bases.py in
NavigationToolbar2 in the __init__() method:
self.mode = '' # a mode string for the status ba
Jouni
I have now loaded and tried to use iPython.
In some cases the xyz? command gives useful output -
in others, not.
So, if I have
ax = subplot(111)
Then ax? returns a number of get_ & set_ functions that
are available. So far, so good. But, if I try something
like :
In [9]: ax.set_x
On Monday 21 August 2006 06:20, George Nurser wrote:
> On 21/08/06, Jouni K Seppanen <[EMAIL PROTECTED]> wrote:
> > "Derek Hohls" <[EMAIL PROTECTED]> writes:
> > > It appears the manual (which I assume might be able to help me) is not
> > > "downloadable". The link :
> > > http://matplotlib.source
Hi Derek,
[Copying to matplotlib-users since an archive of this conversation
could be helpful to others in the future.]
On 21.8.2006, at 13.34, Derek Hohls wrote:
> Re the other suggestions you have made. While I appreciate the
> "forming hypothesis" approach is good when venturing into the
>
On 21/08/06, Jouni K Seppanen <[EMAIL PROTECTED]> wrote:
> "Derek Hohls" <[EMAIL PROTECTED]> writes:
>
> > It appears the manual (which I assume might be able to help me) is not
> > "downloadable". The link :
> > http://matplotlib.sourceforge.net/users_guide_0.87.1.pdf
>
> For some reason, downloa
"Derek Hohls" <[EMAIL PROTECTED]> writes:
> It appears the manual (which I assume might be able to help me) is not
> "downloadable". The link :
> http://matplotlib.sourceforge.net/users_guide_0.87.1.pdf
For some reason, downloading this file fails quite often. Perhaps it
should be distributed u
If you can't find help anywhere else, the matlab documentaiton may be helpful.Most of the matplotlib functions are taken right from there.
http://www.mathworks.com/access/helpdesk/help/techdoc/ref/plot.htmlhttp://www.mathworks.com/access/helpdesk/help/techdoc/ref/subplot.html
http://www.mathworks.c
The matplotlib philosophy is one of "make easy things easy" - which I
totally agree with.
I am a new user of matplotlib; and a relatively new Python programmer.
I am trying to produce some bar charts for a colleague, in an attempt to
show how easy it is to do this with Python/matplotlib (as oppos
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