Dear Paul,
Thank you, it does exacly what I want to do. I searched a bit into the
"contour" instance, but I was biased since I was looking for something
like "get_line".
cheers
Francesco
2011/1/21 Paul Ivanov :
> Francesco Montesano, on 2011-01-21 15:44, wrote:
>> Dear All,
>>
>> I am using c
Hi,
I'm trying to install matplotlib from the svn source. I can compile
the code and install it to my desired location but I cannot import it
into python.
I did:
svn co
https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/matplotlib
matplotlib
cd matplotlib
python setup.py install -
Is it possible to create a "break" in the y-axis so that it has ticks
for value 0-.2, then ticks for values .8-1.0, but devotes only a token
amount of space to the area 0.2-0.8?
I have a dataset with most datapoints in 0-.2 and a couple in .8-1.0,
and none in .2-.8 . The default scaling wastes a
Ilya Shlyakhter, on 2011-01-22 19:06, wrote:
> Is it possible to create a "break" in the y-axis so that it has ticks
> for value 0-.2, then ticks for values .8-1.0, but devotes only a token
> amount of space to the area 0.2-0.8?
> I have a dataset with most datapoints in 0-.2 and a couple in .8-1.
Glen Shennan, on 2011-01-21 15:41, wrote:
> Hi,
>
> I'm trying to install matplotlib from the svn source. I can compile
> the code and install it to my desired location but I cannot import it
> into python.
>
> I did:
>
> svn co
> https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trun
Paul Ivanov, on 2011-01-22 18:28, wrote:
> Ilya Shlyakhter, on 2011-01-22 19:06, wrote:
> > Is it possible to create a "break" in the y-axis so that it has ticks
> > for value 0-.2, then ticks for values .8-1.0, but devotes only a token
> > amount of space to the area 0.2-0.8?
> > I have a datase
On 01/22/2011 05:16 PM, Paul Ivanov wrote:
> Paul Ivanov, on 2011-01-22 18:28, wrote:
>> Ilya Shlyakhter, on 2011-01-22 19:06, wrote:
>>> Is it possible to create a "break" in the y-axis so that it has ticks
>>> for value 0-.2, then ticks for values .8-1.0, but devotes only a token
>>> amount of
