Hi
I understand that it would be hard to implement, as it requires that all
the points are checked, which for a arbitrary plot is not easy.
Though is this not what is already done for the normal autoscale, or have I
misunderstood how the normal autoscale is done?
I would like to have this as a new feature, as it would prove useful for
analysing graphs, especially in scientific research.
Kind regards
Pål
On 3 February 2012 19:56, Eric Firing <efir...@hawaii.edu> wrote:
> On 02/03/2012 06:07 AM, Benjamin Root wrote:
> >
> >
> > On Fri, Feb 3, 2012 at 9:15 AM, Pål Gunnar Ellingsen <paa...@gmail.com
> > <mailto:paa...@gmail.com>> wrote:
> >
> > Hi
> >
> > Thank you for trying to help me, though I can't see how aspect is
> going
> > to help me. As I understand of the documentation, it would require
> > me to know the
> > relationship between x and y, which I don't.
> > I can calculate it, but since it varies between each change in
> xlimits
> > and different plot, it would be the same as calculating the ylimits.
> >
> > As for pyplot.xlim(xmin,xmax) (suggested by Ethan Swint), it does
> > the same as ax.set_xlim() for me.
> >
> > Below is a sample code that will illustrate the problem.
> >
> > Regards
> >
> > Pål
> >
> > ####### Start code ############
> >
> > #!/usr/bin/env python
> > import matplotlib
> > matplotlib.use('Qt4Agg') # generate postscript output by default
> >
> > import matplotlib.pyplot as plt
> > import numpy as np
> >
> > # Creating a function to plot
> > x = np.linspace(-10, 10, 200)
> > p = np.poly1d([2, 3, 1, 4])
> > y = p(x) * np.sin(x)
> >
> > # plotting the full figure
> > fig = plt.figure()
> >
> > ax = fig.add_subplot(111)
> > ax.plot(x, y)
> > ax.autoscale(tight=True)
> > plt.title('Full graph. (Press key for next plot)')
> > plt.draw()
> >
> > plt.waitforbuttonpress()
> >
> > # This is how I'm currently doing it
> > # x limits
> > xmin = 2
> > xmax = 6
> >
> > # Calculating y limits
> > ymin = y[np.logical_and(xmin < x, x < xmax)].min()
> > ymax = y[np.logical_and(xmin < x, x < xmax)].max()
> >
> > # Inserting some room
> > room = np.maximum(np.abs(ymin * 0.05), np.abs(ymax * 0.05))
> > ymin = ymin + room * np.sign(ymin)
> > ymax = ymax + room * np.sign(ymax)
> >
> > # Setting the limits
> > ax.set_xlim([xmin, xmax])
> > ax.set_ylim([ymin, ymax])
> >
> > plt.title('What I want (Press key for next plot)')
> > plt.draw()
> > plt.waitforbuttonpress()
> >
> > # This is what pyplot does by default if I only set the limits
> > ax.autoscale(tight=True)
> > ax.set_xlim([2, 6])
> >
> > plt.title('What I get if I only use set_xlim (Press key for exit)')
> > plt.draw()
> > plt.waitforbuttonpress()
> > plt.close()
> >
> > ####### End code ############
> >
> >
> >
> > Ok, I see what you want. You want the y-limits to automatically change
> > to fit only the data that is displayed for the x-domain you have chosen.
>
> This has never been supported; it would have to be a new option. I
> suspect it would be quite difficult to get this right in general, even
> though the concept seems simple enough.
>
> Eric
>
> >
> > I have tried some tricks, and I am not sure that it is currently
> > possible. There might even be some sort of bug at play here because the
> > function ax.update_datalim() does not appear to update the internal data
> > used for autoscaling. We might have to look into this further.
> >
> > Ben Root
> >
> >
> >
> >
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