me know...
Thanks for your help!
Justin
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easy fix I'm overlooking?
Version info:
In [3]: sys.version
Out[3]: '2.7.3 (default, Feb 19 2013, 18:00:31) \n[GCC 4.2.1
Compatible Apple LLVM 4.2 (clang-425.0.24)]'
In [4]: mpl.__version__
Out[4]: '1.2.0'
Thanks,
Justin
-
.stop() method, since I would
prefer not to rely on the garbage collector's behavior being consistent
(hard to make sure nothing else is holding a reference to timer) when
there is a very well-defined function that does what I want.
Thanks,
Justin
On 7/18/13 12:54 AM, Michiel de Hoon wrote:
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r code to this effect I would
be very interested in learning/contributing.
Justin
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nimal vector graphics, but TikZ is more than adequate for plots
and stands on its own merit as a fully-featured graphics language.
TeX+TikZ finally eliminates the need for external vector hackery. Of
course, I'll probably just use pdf and usetex as you suggest, but I
was hoping for something
), arrowprops=dict(arrowstyle='|-|'))
and then adding your label manually with text(), like you said. There
may be some way to do it all in the annotate command (by shifting the
arrow away from the label somehow), but by default the anno
On Thu, Dec 15, 2011 at 12:33 PM, Chao YUE wrote:
> Dear matplotlib users,
>
> How can I surpress the figure pop out when I make plot within the ipython
> interactive shell?
> suppose I make a figure first and I want to save it:
>
> fig=plt.figure()
> ax=fig.add_subplot(111)
> ax.plot(np.arange(1
nes), the lines show up in the same place both in the display and saved
file. Is there a different function I should be using to get the bounding
box edges, or to convert between the figure pixels and points?
Thanks,
Justin
---
f = figure()
map(lambda i : f.add_subplot(10, 1, i), range(1,
. Am I using this class
incorrectly, or could this be a bug?
thanks,
Justin
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Here are a couple of functions you might try, with a few colors and line
styles I use:
import itertools
from pylab import *
COLORS = ['#990033', '#FF', '#00FF00', '#F79E00',
'#ff00ff', '#0080FF', '#FF', '#2D0668',
'#2EB42E', '#ff6633', '#8000ff', '#33',
tError: No module named _path
Could you please let me know how I can fix this problem?
I tried several ways of reinstalling it(after cleaning as described in
many web-sites), but all the ways returned the same error.
Thanks,
Justin.
---
far.png').
If I make the window too narrow so the figure itself shrinks too much,
it starts to raise 'ValueError: left cannot be >= right' exceptions,
and then really shrinks the plot even more (see attached
'auto_subplot_adjust.leftright.png').
Any
On Wed, Sep 29, 2010 at 9:58 PM, Jason Grout
wrote:
>...
> I made the FAQ entry code a little more general (and hopefully more
> robust) a while ago. I don't know if it takes care of the problem
> you're talking about, though.
>
> I posted it to the matplotlib-devel mailing list here:
>
> http://
t;framework" version myself. That
may have been fixed already, so you may not want/need to do that. If
you do build your own, don't overwrite the /System/ version; put your
custom version into /Library/Frameworks/Python.framework/ and point to
that for your scripts.
hth,
Justin
--
I have several heatmap images, which I place in subplots stacked vertically.
I've been using
ax = figure.add_subplot(nplots, 1, plotnum)
ax.imshow(...)
to add each subsequent heatmap, and then place
--
Beautiful is w
Sorry about that; don't know what key combo I pushed. Completed email is
below.
On Thu, Oct 7, 2010 at 3:09 PM, Justin McCann wrote:
> I have several heatmap images, which I place in subplots stacked
> vertically. I've been using
>ax = figure.add_subplot(nplots, 1, plot
On Thu, Oct 7, 2010 at 4:08 PM, Benjamin Root wrote:
> ...
>> On Thu, Oct 7, 2010 at 3:09 PM, Justin McCann wrote:
>>
>>> ...
>>
>> I'd like to annotate across all of the subplots by placing a vertical line
>>> (or vspan) across the entire fig
e's agreement that this is bug, I'll file it on the sourceforge
tracker. Is this fixed in SVN, or does anyone have workaround, e.g.,
some way to convert 'x-small' to the correct integer size, or a
different method to call?
Thanks,
Justin
from mpl_toolkits.axe
f the mplot3d examples). Does anyone have any tips on how to move the axis
labels further away from the axis in 3D plots?
Thanks,
Justin
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
X, Y, Z = axes3
label the lower-left axes only
with a lower-case "L" ("l") and really needed a one ("1").
How about "bottom" instead of "L", and "lower left" instead of
e axes
- plot the main figure and all of the zoom regions
BTW, if the "axes_zoom_effect" image could be added to the gallery,
it's the example I was thinking about in the "Vlines across multiple
subplots" thread:
http://permalink.gmane.org/g
?
Thanks for your help,
Justin
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On Wed, Dec 1, 2010 at 11:58 AM, Justin McCann wrote:
> Is there a straightforward way to limit the legend only to lines that
> appear within the current display limits? I have a plot that has too
> many separate data series to show on the legend at once, but once I
> zoom in it woul
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.axvline
Event handling: http://matplotlib.sourceforge.net/users/event_handling.html
Example:
http://matplotlib.sourceforge.net/examples/event_handling/data_browser.html
Justin
On Mon, May 2, 2011 at 10:08 AM, Sou
ll back to the current (presumably slower) method.
Would probably complicate things in the layout code, though.
Justin
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On Wed, May 18, 2011 at 3:01 PM, Neal Becker wrote:
> Using scatter, it seems less probably (numerous) points show just as much
> as
> more probable points. Can anyone suggest a good way to emphasize the more
> probable points?
>
> I was thinking maybe the easy way is just scale down the markers
On Mon, Jun 13, 2011 at 8:37 AM, Andrea Crotti wrote:
>
> I found this question asked other times, but trying myself there is no
> way that I get something working..
>
> So I just want to generate a pdf from a plot with the smallest possible
> margin, and I was trying for example this:
>
>fig
(< 0) zorder number to the
axvspan function so it stays in the background.
pyplot function:
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.axvspan
Axes method:
http://matplotlib.sourceforge.net/api/axes_api.html#matp
ut segs just
contains len(records) references to the exact same arrays in memory
(x2 and ys2).
The reason it works if you move the first part inside is that it
creates a new numpy.array x2 and a new python list ys2 each time then,
which is what you want.
Justin
2011/7/13 SULSEUNG-JIN :
> Thanks, Justin
>
> I think I made a confusing example code. Here comes new one:
Maybe you just need to force a call to draw() and set your x/y limits.
This works for me on matplotlib 1.0.1
$ ipython -pylab
#
from matplotlib.collections import LineCol
On Wed, Jul 13, 2011 at 6:49 PM, Benjamin Root wrote:
> On Wednesday, July 13, 2011, Justin McCann wrote:
>> $ ipython -pylab
>> #
>> from matplotlib.collections import LineCollection
>> f = figure()
>> plot()
>> ax = gca()
>> vec = numpy.random.
Try help(figure) and
help(colors) for some examples.
Hope that helps,
Justin
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I'm new to unix, python and matplotlib. I've had trouble installing matplotlib.
The machine I'm on is running solaris. I tried installing it on my friend's
ubuntu box and it worked basically immediately. After some effort I managed to
get it to compile and install on solaris.
In pyt
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