Andrea Crotti, on 2011-03-01 10:29, wrote: > Gökhan Sever <gokhanse...@gmail.com> writes: > > You can try: > > > > fig, ax = plt.subplots(1,1) > > ax.plot(range(10)) > > fig.subplots_adjust(left=0.05, right=0.95, bottom=0.05, top=0.95) > > > > Uhm strange, with the version of matplotlib that I have know I have > subplots_adjust, but I don't have plt.subplots, was it added later? > Well I can also leave my very convoluted way for now, I'll see later > what to do...
plt.subplots was added somewhat recently - in this instance it's equivalent to : fig = plt.figure() ax = plt.subplot(1,1,1) Andrea Crotti, on 2011-03-01 12:58, wrote: > Paul Ivanov <pivanov...@gmail.com> writes: > > You can do this with: > > > > ax = plt.subplot(111) > > ax.plot(range(10)) > > ax.set_ymargin(.2) > > ax.set_xmargin(.1) > > # or ax.margins(.1,.2) > > ax.autoscale() > > plt.draw() > > > > see also the docstring for ax.autoscale_view for more. > > Uhm also autoscale and set_xmargin are not implemented in my version of > matplotlib, too bad I'll just keep my hack for now... Ok, these were added within the past year as well. I think you should have an older version of ax.autoscale_view which does something similar - but it's effectively what you have done in your original example (though I'm not sure why you want cast everything as an int there, perhaps that's just what makes sense for the data you have). you can see the current code here, if you're curious: https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/axes.py#L1774 best, -- Paul Ivanov 314 address only used for lists, off-list direct email at: http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7
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