Hi,
I experienced similar error under python 2.7.5 win32 after
dirty-upgrading from mpl 1.2.1 to 1.3.1 (w/o first removing the old
version). A clean install solved the problem.
Cheers,
Gregorio
--
DreamFactory - Open Sou
@Eric: thanks, i see the point
@Jody: thanks for the trick, I'll first try Eric's approach
2013/7/18 Eric Firing :
> On 2013/07/17 11:25 PM, Gregorio Bastardo wrote:
>> Thanks Mike, it's hard to spot, but still better than nothing. Anyway,
>> could it be the defaul
> say, you need at least two points for a line segment.
>
> Mike
>
> On 07/17/2013 10:45 AM, Gregorio Bastardo wrote:
>> Hi,
>>
>> The following example demonstrates the problem, value 5 could not be
>> seen w/o marker:
>>
>> data = np.arange(10)
Hi,
The following example demonstrates the problem, value 5 could not be
seen w/o marker:
data = np.arange(10)
mask = [0,0,0,1,1,0,1,0,0,0]
x = np.ma.masked_array(data, mask)
plot(x)
plot(x, '+')
In my datasets, isolated unmasked values are rare, but placing a
marker to spot them makes the whole
Hi,
I have problems with constrained rectangular zoom to x-y axis with
PyQt4 / PySide backend. When I use the "Zoom-to-rectangle" button of
the navigation toolbar while holding the x or y key, sometimes nothing
happens when the mouse is released. Constrained panning and
pan-zooming ("Pan/Zoom" but
but not
> always), so I would recommend it.
>
> -Sterling
>
> On May 17, 2013, at 2:10AM, Gregorio Bastardo wrote:
>
>> Hi Sterling,
>>
>> Thanks for the hint, using "line._legmarker" attribute solved the problem.
>>
>> I see the reason behin
Hi Sterling,
Thanks for the hint, using "line._legmarker" attribute solved the problem.
I see the reason behind, however I still consider this as an incorrect
behaviour, since marker toggling works in case the line is originally
added to the legend without marker (so legend line and marker do not
Hi,
I've recently come accross an issue when working on an interactive
marker toggling callback. The problem is illustrated below:
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111)
line, = ax.plot(range(10), range(10))
# uncomment next line to reproduce bug
# line.set_m
