[Matplotlib-users] I need to force the "rounding" of x axis limits
INTRO
=
please consider the following code (I'm trying to draw a timeline)
1 from matplotlib import pyplot, patches
2 fig = pyplot.figure()
3 ax = fig.add_subplot('111')
4 ax.add_patch(patches.Rectangle((1933,0.25), 73, 0.5))
5 pyplot.show()
that gives me a plot with the x axis that goes from 0.0 to 1.0,
now consider
...
5 ax.set_xlim((1933,1933+73))
6 pyplot.show()
this gives me an x axis that goes _exactly_ from 1933 to 2006,
eventually drawing a line superposed to the lower spine
...
5 ax.plot((1933,1933+73),(0,0))
6 pyplot.show()
gives me what I really want, that is an x axis running from 1930 to
2010, with the limits automatically rounded by matplotlib...
(I noted that the extra line forces a rounding also for the y axis
limits, but that's not a problem...)
QUESTION
I want matplotlib to round the limits of the x axis automatically,
when given explicitly the lower and upper limits of the data, how to?
Thank you in advance
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Re: [Matplotlib-users] subplots [xy]labels
Alex Goodman
writes:
> Try using the set_ylabel() and set_xlabel() methods for each Axes instance
> instead, eg:
>
> a[0].set_ylabel('f1')
> ...
works as intended, tx Alex
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[Matplotlib-users] subplots [xy]labels
two plots in a figure:
from pylab import *
...
f,a = subplots(nrows=2, sharex=False, sharey=False)
a[0].plot(x,f0(x))
ylabel('f1')
xlabel('t')
...
a[1].plot(x,f1(x))
ylabel('f2')
xlabel('t')
...
show()
but all i can get are labels for ONLY the lower subplot, what shoud I do?
any help will be appreciated
tia
gb
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