Hi all guys,
I am trying for a while to set width of the legend box to constant value,
independent of the text inside. So far I tried with following approach:
l1.get_frame().set_width(2.0)
where l1 is object of legend type. After this line nothing actually
happens. I was also not able to find
Thanx, I will try. By the way hiw to implement this into set_ylabel
function? is just text$_... enough?
On Thu, Jun 12, 2014 at 2:40 PM, Mike Kaufman mck...@gmail.com wrote:
use matplotlib's internal latex parsing:
text(0.2,0.4,text$_{\mathrm{subscript}}$)
M
On 6/12/14, 6:26 AM, Nemanja
It works thanx.
On Thu, Jun 12, 2014 at 4:45 PM, Nemanja Savic vlasi...@gmail.com wrote:
Thanx, I will try. By the way hiw to implement this into set_ylabel
function? is just text$_... enough?
On Thu, Jun 12, 2014 at 2:40 PM, Mike Kaufman mck...@gmail.com wrote:
use matplotlib's internal
aspect ratio
of 0.5 to one of the axeses, the others don't follow that?
Best
On Thu, Jun 12, 2014 at 5:44 AM, Nemanja Savic vlasi...@gmail.com wrote:
Hi all guys,
I have already spent a lot of time trying to figure out how to set the
aspect ratio of all axeses in my plot which consists
that?
Best
On Thu, Jun 12, 2014 at 6:03 PM, Nemanja Savic vlasi...@gmail.com wrote:
Hi again,
I think I am very near to discover how the things work, but I need a bit
or ur help. What I basically want is to apply the same aspect ratio to all
Axes objects. I realized that whenevr twinx is called
Hi all guys,
I have already spent a lot of time trying to figure out how to set the
aspect ratio of all axeses in my plot which consists of a single subplot
and three y axes. Namely, i tried to set the aspect ratio of the base axes,
and i expect after twinx that others will inheritt that. So,
Hi all guys, I am back to the same issue again. At the moment I am not able
to reazlize where does matplotlib configure script find that my version of
numpy is 1.4.1?
On Tue, Nov 12, 2013 at 4:20 PM, Nemanja Savic vlasi...@gmail.com wrote:
I see. But is there any other way to cope with this x
The solution is following:
uninstall numpy using yum.
build numpy from source and install it.
Build matplotlib from source!
Best
On Mon, Feb 3, 2014 at 3:29 PM, Nemanja Savic vlasi...@gmail.com wrote:
Hi all guys, I am back to the same issue again. At the moment I am not
able to reazlize
Hi all guys,
I am using RHEL6 and I am ploting figures throughout my project, so I
wanted some workaroung blocking show() function call. I have found few
solutions that use multiprocessing, so finally i finished with this:
pool.map(plot_graph, c)
and
def plot_graph(*args):
I see. But is there any other way to cope with this x server problem and
multiple figures plotting?
On Tue, Nov 12, 2013 at 3:21 PM, Benjamin Root ben.r...@ou.edu wrote:
On Tue, Nov 12, 2013 at 7:37 AM, Nemanja Savic vlasi...@gmail.com wrote:
Hi all guys,
I am using RHEL6 and I am
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