David Arnold wrote:
> All,
>
> In one post from John Hunter, I heard the word "traits", which I assume is
> from the enthought distribution.
>
> Is there a move in matplotlib toward the "trait" technology taking place? How
> about for Python in general?
>
No to both, as far as I know. Every
All,
In one post from John Hunter, I heard the word "traits", which I assume is from
the enthought distribution.
Is there a move in matplotlib toward the "trait" technology taking place? How
about for Python in general?
Thanks.
David.
--
divider.get_horizontal() returns a list of size objects
(http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/api/axes_size_api.html#module-mpl_toolkits.axes_grid.axes_size)
that are currently used.
For example,
cax = divider.new_horizontal(size="5%", pad=0.05)
horiz_list = divider.get_ho
Hi Jae-Joon,
Thanks for your help! One last question - if I create a colorbar axes with
cax = divider.new_horizontal(size="5%", pad=0.05)
Is it possible to then modify the size and pad parameters, or do I need to
delete the axes and start again?
Cheers,
Tom
On Mar 5, 2010, at 12:20 PM, Jae-J
2010/3/5 David Goldsmith :
> I think it's a bug in numpy.ma._extrema_operations.reduce (at least Pierre GM
> couldn't explain it away and instructed me to file a bug ticket on it over
> there, which I did; w/ your permission, I'll add your code to that ticket?) -
> at the very least, it should b
(Pierre GM: are you subscribed to this list? If so, sorry for cc-ing you.)
--- On Fri, 3/5/10, Friedrich Romstedt wrote:
> From: Friedrich Romstedt
> Subject: Re: [Matplotlib-users] Mysterious "ValueError: zero-size array..."
> To: "David Goldsmith"
> Date: Friday, March 5, 2010, 10:46 AM
> I
Has anyone had any success in making land or sea locations transparent
in a resulting .png? There are instances when I would like an image
to be overlayed on a map and let the underlying terrain map show
through. Using an image as a ground overlay in Google Earth would be
an example of such a usa
Unfortunately, axes_grid toolkit (in most cases) creates an axes using
its own Axes class by default. Here is some more details.
http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#axisline
To use mpl's original Axes class, append axes_class parameter.
import matplotlib.
Hi,
It turns out to be a bug (new_vertical works, but new_horizontal does not).
To work around this
right after
cax = divider.new_horizontal(size="5%", pad=0.05, pack_start=True)
add these lines
locator = divider.new_locator(nx=0, ny=0)
cax.set_axes_locator(locator)
These two lines only need
Hi Jae-Joon,
I am encountering another issue, when using the method you suggest in
combination with the parasite_axes from the matplotlib toolkit:
---
import matplotlib.pyplot as mpl
import numpy as np
from mpl_toolkits.axes_grid import make_axes_locatable
import mpl_toolkits.axes_grid.parasite
Hi Jae-Joon,
Thanks! This is exactly what I needed. Putting the colorbar on the right or
bottom works great - however, I am running into issues with trying to put the
colorbar on the left or bottom (which, from my understanding, is controlled by
using pack_start=True?). Should the following cod
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