OK, thanks for your answer. I've opened a issue in Matplotlib's github.
Regards,
Julien
2014-12-11 17:48 GMT+01:00 Thomas Caswell :
>
> glue does a lot of fancy interactive stuff, they might have something like
> that.
>
> From a reproducible computing PoV that fu
think, a killing feature for many beginners/average users who used
to work with matlab (oups, I've said it).
Best regards,
Julien
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Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server
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embed images take a look at this Wikipedia page for some helpful information
> http://en.wikipedia.org/wiki/Data_URI_scheme
>
> Apologies if you were expecting a more detailed answer,
> Scott
>
>
> On Nov 1, 2014, at 4:37 PM, Julien Hillairet
> wrote:
>
> > Indeed, it works al
ue()).decode())
>
>
> For python 2.7.8 change html =""" to
>
> html = """
>
> """ % base64.encodestring(sio.getvalue())
>
> Best regards,
> Scott
>
>
> On Nov 1, 2014, at 7:37 AM, Julien Hillairet
> wrote:
>
&g
t; import base64
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
> ax.plot([1,2,3])
>
> sio = BytesIO()
>
> fig.savefig(sio, format="png")
>
> html = """
>
> """.format(base64.encodebytes(sio.getvalue()).decode())
>
>
> Fo
ected, got 'bytes'
when on fig.savefig(sio, format="png")
Could someone explain me how to do it ?
Best regards,
Julien
import matplotlib.pyplot as plt
from io import StringIO
fig = plt.figure()
ax = fig.add_subplot(111
Thans a lot Eric for the fast and detailed answer!
On Thu, Jun 6, 2013 at 9:24 PM, Eric Firing wrote:
> On 2013/06/06 2:08 AM, Julien Cornebise wrote:
> > Dear all
> >
> > I am puzzled: in the following code, when I call clim() *after* having
> > created 3 subplots,
Dear all
I am puzzled: in the following code, when I call clim() *after* having
created 3 subplots, only the last subplot takes the new limits into
account. All other subplots ignore it. Xlim(), on the countrary, works as
intended. Everything works fine when I set the clim() at creation time.
Am
()
qcursor = QCursor()
qcursor.setShape(cursord[cursor])
QApplication.setOverrideCursor( qcursor )
- Mail original -
De: "julien parc"
À: matplotlib-users@lists.sourceforge.net
Envoyé: Dimanche 15 Juillet 2012 12:07:33
Objet: [Matplotlib-users] core du
7;__main__':
app = QApplication(sys.argv)
m = Main()
m.show()
app.exec_()
It may be relative to a mousemoveent, as it does not
crash until I move the mouse on the window.
Julien Pages
BTW: thanks
it is only for fun, and I don't want to invest myself too much
my question is really did I missed something while googling for an
easy solution and if so, what are the good keywords?
Cheers
--
Julien
--
Live Sec
> Hi,
>
> I have a question: Is there a way with matplotlib to see influence of
> code changes on the plot without explicitly recompiling?
>
Hello
Using bpython is a nice trick to achieve this :
Bootstrap in bpython :
http://bpaste.net/show/31823/
once sastified either F8 to share, or Ctrl+S to
neither a dependancy in Freebsd ports
Path: /usr/ports/math/py-matplotlib
Info: A plotting library uses a syntax familiar to matlab users
Maint: mainl...@apeiron.net
B-deps: atk-2.0.1 binutils-2.22_1 bitstream-vera-1.10_5 blas-3.4.0
cairo-1.10.2_3,1 compositeproto-0.4.2 cups-client-1.5.2_1
da
First cpp stands for C Pre Processor, this tool usually does macro
substitution in c, objective c, c++. Hence Cpp in the object is pretty
much confusing when it seems to be talking about C++.
2012/4/27 Benjamin Root :
>
>
> On Fri, Apr 13, 2012 at 4:24 PM, Ignas Anikevicius
> wrote:
>>
>> Dear a
Hello
2012/4/24 Eric Firing :
> On Tue, Apr 24, 2012 at 12:21 AM, Tony Yu wrote:
>> On Mon, Apr 23, 2012 at 5:09 AM, jul tayon wrote:
>>> Hello list
>>> Exected Result :
>>> https://github.com/jul/pypi-stat/blob/master/why.png
>>>
>> Sorry, I'm not clear on what the bug is. Is the picture you li
Hello list
matplotlib website says this mailing is the prefered way to report
bug, so here I am :
System :
python ; 2.7.2+
matplotlib 1.1.0
ubuntu TLS amd64
matplotlib Backend : TkAgg
How to reproduce (on my pf)
Code Snippet :
##CODE
import matplotlib
import matplotlib.pyplot as p
import
showing an error or a warning would be much
more appropriate than showing
a plot. It would let the user know that the problem is not with her
dataset, but with the plot.
Wouldn't it be possible to simply check the shape in scatter() and
display a warning if it has more than one dimension ?
B
atrix. In the case of
an array, a 1D array is returned, in the case of a matrix, a 2D Nx1
matrix is returned. Using this matrix seems to confuse matplotlib.
Using np.ravel or np.flatten on the slices fix that problem.
Is there an explanation for this behaviour or should I fill a bug ?
Best re
get a probleme here?
Thanks for reading me
Julien
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