Re: [Matplotlib-users] a break in the y-axis

2011-01-24 Thread Eric Firing
On 01/23/2011 11:46 PM, Paul Ivanov wrote: [...] > Done in r8935, see examples/pylab_examples/broken_axis.py > Thank you. > I documented the above, used deterministic fake data, as Eric > suggested, and added the diagonal cut lines that usually > accompany a broken axis. Here's the tail end of th

Re: [Matplotlib-users] a break in the y-axis

2011-01-24 Thread Paul Ivanov
Eric Firing, on 2011-01-22 17:49, wrote: > >> Paul Ivanov, on 2011-01-22 18:28, wrote: > > Paul, > > Your example below is nice, and this question comes up quite often. If > we don't already have a gallery example of this, you might want to add > one. (Probably better to use deterministic f

Re: [Matplotlib-users] a break in the y-axis

2011-01-22 Thread Eric Firing
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

Re: [Matplotlib-users] a break in the y-axis

2011-01-22 Thread Paul Ivanov
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

Re: [Matplotlib-users] a break in the y-axis

2011-01-22 Thread Paul Ivanov
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.

[Matplotlib-users] a break in the y-axis

2011-01-22 Thread Ilya Shlyakhter
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