rgy between matplotlib and scipy, I would expect the latter to
> take care of optimization
> thanks for the replies,
> Johann
>
> Jessica Lu wrote:
>> Hi Johann,
>>
>> I would recommend using the python mpfit module:
>>
>> http://cars9.uchicago.
Hi Johann,
I would recommend using the python mpfit module:
http://cars9.uchicago.edu/software/python/mpfit.html
Cheers,
Jessica
On Dec 22, 2007, at 8:57 PM, Johann Cohen-Tanugi wrote:
> hi jessica,
> This FittingData tutorial is very nice. Could you illustrate how to
> fix/thaw parameters?
>
There is an example of this on the scipy matplotlib cookbook:
http://www.scipy.org/Cookbook/Matplotlib/ShadedRegions
Cheers,
Jessica
On Dec 18, 2007, at 7:58 PM, John Hunter wrote:
> On Dec 18, 2007 9:47 PM, Bryan Fodness <[EMAIL PROTECTED]>
> wrote:
>> I do want a rectangle. And, I have tri
Hi,
I just happened to do the same thing two days ago. If you want
uncertainties as well, here is some code that uses scipy.optimize. I
just put up a preliminary example on the scipy wiki:
http://www.scipy.org/Cookbook/FittingData?action=show
Not the cleanest or most sophisticated code in th
I usually use the following to make single arrows:
plot([0,1], 'k.')
arr1 = pylab.Arrow(0.5, 0.5, 0.1, 0.0, width=0.02)
fig = pylab.gca()
fig.add_patch(arr1)
If in "ipython -pylab" you need to savefig or send another command
(e.g. xlabel) or reload/refresh the plot (I can't remember the
com
Hi,
I just downloaded and installed the latest matplotlib (0.90.1) and
the following problem occurred:
>>>
plot([0,1])
scatter([0.5], [0.5])
# Should be one Line2D
print gca().lines
# Should be one RegularPolyCollection
print gca().collections
# Now load a legend:
legend()
# Should be one
