On Wed, Feb 17, 2010 at 10:50 PM, Fernando Perez fperez@gmail.com wrote:
This is a worthy goal. One use case I would like to see supported
is the sharex/sharey args::
Sheesh, some people really want everything :)
Yes, you should know better by now than to propose a minor
John Hunter wrote:
One other thing: I don't think a tuple is best for the axes
dimensionality. We always require two and exactly two shape arguments
(numrows, numcols) so we don't need the flexibility of the tuple in
the way that numpy.zeros does. And it is easier to type::
Phillip M. Feldman wrote:
This sounds great. Thanks!
So far I haven't figured out how to use it. I downloaded the
matplotlib SVN and installed it, but was not able to find
nsper_demo.py.
Phillip
Phillip: Basemap is a separate toolkit, you won't get it from the
matplotlib svn trunk.
On Wed, Feb 17, 2010 at 10:17 PM, John Hunter jdh2...@gmail.com wrote:
Perhaps the solution to my sharex conundrum is to support an axes number, eg
ax1, ax2, ax3, ax4 = subplots(4,1, sharex=1)
I thought there is no master and slave for an axis-sharing?
If that's the case, maybe sharex=True
Just noticed this when I tried to build (I have numpy from svn):
REQUIRED DEPENDENCIES
* numpy 1.1 or later is required; you have
* 2.0.0.dev8125
:)
--
Download
On 2010-02-18 16:18 PM, David Warde-Farley wrote:
Just noticed this when I tried to build (I have numpy from svn):
REQUIRED DEPENDENCIES
* numpy 1.1 or later is required; you have
* 2.0.0.dev8125
:)
This has been fixed in SVN.
--
Robert
On Thu, Feb 18, 2010 at 8:02 AM, John Hunter jdh2...@gmail.com wrote:
Yes, you should know better by now than to propose a minor enhancement
And you should know by know common sense has somehow been amputated
from my system :)
Another thought about the interface. How about *just*
Howdy
On Thu, Feb 18, 2010 at 1:19 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
I thought there is no master and slave for an axis-sharing?
If that's the case, maybe sharex=True should be suffice?
I defer to your wisdom here: I had no clue about this, so I went for
the clumsier API. If you
