Hi all,
I'm plotting time series and using a custom format for x tick labels
because I want to see both date and time. But calling xlim makes the
default format return -- only dates or only times, it depends on the
displayed interval.
I can get my preferred format back by calling set_major_formatter again,
but this is inconvenient for interactive use.
I wonder if there is a better way for changing x limits while keeping
tick labels format unchanged.
I'm using matplotlib 0.98.3
Thanks
Goyo
Sample code -- you need a combination of python shell and matplotlib GUI
which allows for interactive use in order to get this working as
expected:
----------------------------------------
from matplotlib import pyplot
from matplotlib import dates
from datetime import datetime, timedelta
from numpy import random
pyplot.ion()
# create data
dstart = datetime(2008, 1, 1, 0, 0)
dend = datetime(2008, 1, 5, 23, 50)
delta = timedelta(minutes=10)
x = dates.drange(dstart, dend, delta)
y = random.random_sample(len(x))
# plot data
pyplot.plot(x, y)
# format x tick labels
axis = pyplot.gca()
fig = pyplot.gcf()
axis.xaxis.set_major_formatter(dates.DateFormatter('%Y-%b-%d %H:%M'))
fig.autofmt_xdate()
# draw the figure
pyplot.draw()
--------------------------------------
Look at the tick labels, they show both date and time even if you zoom
and pan using the GUI.
Now if I want to look at the second day:
dstart = datetime(2008, 1, 1, 0, 0)
dend = datetime(2008, 1, 1, 23, 50)
pyplot.xlim(dstart, dend)
And the format has changed.
-------------------------------------------------------------------------
This SF.Net email is sponsored by the Moblin Your Move Developer's challenge
Build the coolest Linux based applications with Moblin SDK & win great prizes
Grand prize is a trip for two to an Open Source event anywhere in the world
http://moblin-contest.org/redirect.php?banner_id=100&url=/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
