Careful, "reply" doesn't send your note to the list.
I just looked on the MPl download page in source forge. It looks like
there are binary eggs there for Windows. You should be able to install
those in your virtualenv and have it all just work. Just make sure you
use the right copy of easy_ins
indeed, I obviously just got entangled in my own debugging. I do manage
to get it to do what I want now.
sorry for the fuss,
Johann
Eric Firing wrote:
> Cohen-Tanugi Johann wrote:
>> ok, maybe it is in scale.py :)
>> And what I see there confirms my initial fears : the log scale
>> transform ap
Thomas Robitaille wrote:
> Hi,
>
> I've found that the match_original=True option in PatchCollection
> causes matplotlib to crash. I have submitted two bug reports:
>
> https://sourceforge.net/tracker/?func=detail&aid=2732455&group_id=80706&atid=560720
> https://sourceforge.net/tracker/?func=de
Thomas Robitaille wrote:
> Hi,
>
> I've found that the match_original=True option in PatchCollection
> causes matplotlib to crash. I have submitted two bug reports:
>
> https://sourceforge.net/tracker/?func=detail&aid=2732455&group_id=80706&atid=560720
> https://sourceforge.net/tracker/?func=de
Cohen-Tanugi Johann wrote:
> indeed, I obviously just got entangled in my own debugging. I do manage
> to get it to do what I want now.
>
> sorry for the fuss,
> Johann
No problem at all. I'm glad things are working for you.
Eric
---
Hi,
I've found that the match_original=True option in PatchCollection
causes matplotlib to crash. I have submitted two bug reports:
https://sourceforge.net/tracker/?func=detail&aid=2732455&group_id=80706&atid=560720
https://sourceforge.net/tracker/?func=detail&aid=2723527&group_id=80706&atid=56
hi Eric, then I misunderstood what the code does I thought it was
transforming the data. In any case, my second figure in my previous post
is wrong because the code should read:
plt.errorbar(cE,corrE*fluxes, yerr=corrE*unc_fluxes)
instead of
plt.errorbar(cE,corrE*fluxes, yerr=unc_fluxes)
and
Cohen-Tanugi Johann wrote:
> ok, maybe it is in scale.py :)
> And what I see there confirms my initial fears : the log scale transform
> applies a log to the argument, which is incorrect for an error. So
> first of all, another transform needs to be created so that erry is
> transformed into
ok, maybe it is in scale.py :)
And what I see there confirms my initial fears : the log scale transform
applies a log to the argument, which is incorrect for an error. So
first of all, another transform needs to be created so that erry is
transformed into erry/y/log(base) where base was 10 i
hello,
for the sake of concreteness, here is an example without any limit
issues : the python script is attached and the 2 resulting figures as
well. The dirst one is drawn using log directly in the arguments, and
correctly transforming the y-errors into y-errors/y-values/log(10). In
the seco
Eric Firing wrote:
> Tobias Wood wrote:
>> Hi everyone,
>> After getting fed severely fed up with Matlab in recent months I
>> downloaded Python, Numpy and Matplotlib to try out as an alternative. So
>> far I'm pleasantly impressed, even if building from source on Mac OS X
>> is an experience ;)
Tobias Wood wrote:
> Hi everyone,
> After getting fed severely fed up with Matlab in recent months I
> downloaded Python, Numpy and Matplotlib to try out as an alternative. So
> far I'm pleasantly impressed, even if building from source on Mac OS X
> is an experience ;) However, I have discovere
Hi everyone,
After getting fed severely fed up with Matlab in recent months I
downloaded Python, Numpy and Matplotlib to try out as an alternative. So
far I'm pleasantly impressed, even if building from source on Mac OS X is
an experience ;) However, I have discovered a couple of problems wi
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