On Wed, Mar 28, 2012 at 2:27 PM, Jouni K. Seppänen wrote:
> sanders writes:
>
> > If keywords fill=False and log=True,
> >
> > then after saving, the png looks fine but the histogram in the pdf is
> > mixed up.
>
> Confirmed, thanks for the report. I filed this at
> https://github.com/matplotlib
On Tue, Mar 27, 2012 at 5:39 PM, klo uo wrote:
> Ah mayavi... I find it complicated for building, and in Ubuntu repository
> (or launchpad) there is some old version
> I'll try later today to build it
>
> Thanks for your suggestion,
> Cheers
>
>
>
> On Tue, Mar 27, 2012 at 11:25 PM, Frédéric Vogt
After trying hard to send a plot to my widget, I finally found a solution that
works: get the figure from the widget!
In short, it is has simple as:
from pyqtgraph.Qt import QtGui, QtCore
import matplotlib
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matp
Thanks again, Eric.
I had been trying, and finally got a good result.
My answer is installing PyQt4 for newer Python (v2.7.2) from sources.
Here is the successful steps:
1. Install SIP from source (sip-4.13.2.tar.gz) at default directory
2. Install QtSDK from .run file (Qt_SDK_Lin64_online_v1_
On Wednesday, April 4, 2012, Nikolaus Rath wrote:
> Hello,
>
> I'm plotting a rotating phase:
>
> # ipython --pylab
> x1 = linspace(0, 2*pi, 30)
> x = concatenate((x1,x1,x1,x1))
> plot(x)
>
> The resulting plot has ugly vertical lines whenever x wraps from 2*pi
> back to zero.
>
> Does someone hav
Forwarding an email that I sent directly to Nikolaus. (I think every other
mailing list that I used defaults to something like "Reply to list" or
"Reply to all".)
Warren
-- Forwarded message --
From: Warren Weckesser
Date: Wed, Apr 4, 2012 at 11:18 AM
Subject: Re: [Matplotlib-use
Hello,
I'm plotting a rotating phase:
# ipython --pylab
x1 = linspace(0, 2*pi, 30)
x = concatenate((x1,x1,x1,x1))
plot(x)
The resulting plot has ugly vertical lines whenever x wraps from 2*pi
back to zero.
Does someone have a nice, general way to get to get rid of such lines?
(the actual data
