I am receiving a number from a server every two seconds. I would like to plot
this number.out over time for the past say... 30 polls.
Would it be possible to use... Anything, to produce a smooth animation of the
plot line getting drawn? As it stands now the animation is well... Quite
choppy. ;)
I am new to python and when using Matplotlib 0.99.1.1 [Scientific Linux
6.3, Python 2.6] to plot I get the following error:
/usr/lib64/python2.6/site-packages/matplotlib/backends/backend_gtk.py:621:
DeprecationWarning: Use the new widget gtk.Tooltip
self.tooltips = gtk.Tooltips()
This is when
On Tue, Jul 2, 2013 at 11:57 PM, Nelle Varoquaux
wrote:
> On 2 July 2013 16:33, Anthony Scopatz wrote:
> >
> > On Tue, Jul 2, 2013 at 9:04 AM, Jason Grout >
> > wrote:
> >>
> >> On 7/1/13 9:33 AM, Michael Droettboom wrote:
> >> > SciPy 2013 was a great success. I didn't get good headcount at th
Not a bother. This is a fairly common problem because matplotlib, by
design, does not handle layouts for you. If you are looking for an
automated way of handling this, there is plt.tight_layout(), which is a
feature that was added in v1.2, IIRC, that tries adjusting certain spacing
and size parame
Am Mittwoch, 3. Juli 2013, 20:02:30 schrieb Florian Lindner:
> Hello!
>
> I have that snipped to create a plot:
>
> import matplotlib.pyplot as plt
> size = (6.1, 3.5)
> fig = plt.figure(figsize=size)
> plt.xlabel("$x/l_F$")
>
> it's being saved as eps for latex. At the size given the "F" from l
Hello!
I have that snipped to create a plot:
import matplotlib.pyplot as plt
size = (6.1, 3.5)
fig = plt.figure(figsize=size)
plt.xlabel("$x/l_F$")
it's being saved as eps for latex. At the size given the "F" from l_F is
truncated just a little bit. It works well if I change y-size to 3.6 but t
On Wed, Jul 3, 2013 at 3:13 AM, ChaoYue wrote:
> Thanks Ben. I tried but still confused.
>
> In [8]: fig,ax = plt.subplots()
>
> In [9]: ax.plot(range(100))
> Out[9]: []
>
> In [10]: ax.get_xticks()
> Out[10]: array([ 0., 20., 40., 60., 80., 100.])
>
> In [11]: ax.get_yticks()
> Out[11
Thanks Ben. I tried but still confused.
In [8]: fig,ax = plt.subplots()
In [9]: ax.plot(range(100))
Out[9]: []
In [10]: ax.get_xticks()
Out[10]: array([ 0., 20., 40., 60., 80., 100.])
In [11]: ax.get_yticks()
Out[11]: array([ 0., 20., 40., 60., 80., 100.])
In [12]: draw()
Thanks Ben. extendrect keyword is in mat 1.3, I didn't try this but I tried
set_under and extend='min'
with mat 1.2 and it works very nice.
cheers,
Chao
On Tue, Jul 2, 2013 at 4:14 PM, Benjamin Root-2 [via matplotlib] <
ml-node+s1069221n41364...@n5.nabble.com> wrote:
> There is the "set_over" a
