Tried this before, I think, here is the traceback (it is kind of
different) - maybe it tells some of you where to look at IF this should
really be a bug:
Traceback (most recent call last):
File "C:\Users\gwellenr\Desktop\Test_Sabine\Plot_csv.py", line 187,
in <module>
matplotlib.pyplot.savefig(save_path+'test.png')
File "C:\Python27\lib\site-packages\matplotlib\pyplot.py", line 561,
in savefig
return fig.savefig(*args, **kwargs)
File "C:\Python27\lib\site-packages\matplotlib\figure.py", line
1421, in savefig
self.canvas.print_figure(*args, **kwargs)
File "C:\Python27\lib\site-packages\matplotlib\backend_bases.py",
line 2220, in print_figure
**kwargs)
File
"C:\Python27\lib\site-packages\matplotlib\backends\backend_agg.py",
line 505, in print_png
FigureCanvasAgg.draw(self)
File
"C:\Python27\lib\site-packages\matplotlib\backends\backend_agg.py",
line 451, in draw
self.figure.draw(self.renderer)
File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55,
in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "C:\Python27\lib\site-packages\matplotlib\figure.py", line
1034, in draw
func(*args)
File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55,
in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "C:\Python27\lib\site-packages\matplotlib\axes.py", line 2086,
in draw
a.draw(renderer)
File "C:\Python27\lib\site-packages\matplotlib\artist.py", line 55,
in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 1091,
in draw
ticks_to_draw = self._update_ticks(renderer)
File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 945,
in _update_ticks
tick_tups = [t for t in self.iter_ticks()]
File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 889,
in iter_ticks
majorLocs = self.major.locator()
File "C:\Python27\lib\site-packages\matplotlib\dates.py", line 802,
in __call__
self.refresh()
File "C:\Python27\lib\site-packages\matplotlib\dates.py", line 820,
in refresh
self._locator = self.get_locator(dmin, dmax)
File "C:\Python27\lib\site-packages\matplotlib\dates.py", line 896,
in get_locator
raise ValueError('No sensible date limit could be found in the '
ValueError: No sensible date limit could be found in the AutoDateLocator.
Cheers, Gerd
On 16.09.2014 13:45, Joe Kington wrote:
A quick way to do this is ``ax.invert_yaxis()`` (and invert_xaxis()
for the x-axis). That way you preserve auto-scaling and don't wind up
with manually set axis limits.
What you did should have worked, but ``ymin`` and ``ymax`` are
probably datetime objects. ``ylim`` isn't smart enough to convert
them to the datetime units that matplotlib uses internally.
Hope that helps!
-Joe
On Tue, Sep 16, 2014 at 4:00 AM, Gerd Wellenreuther
<gerd.wellenreut...@xfel.eu <mailto:gerd.wellenreut...@xfel.eu>> wrote:
Dear all,
I hope some of you could help me out. I am currently trying to
generate
some timetables using matplotlib.pyplot.plot_date, having the
time-axis
on the y-axis. Typically, one would like to read these plots from
top to
bottom, from older to newer items (future on the bottom).
Unfortunately,
the default enumeration of the y-axis is the other way around, and it
resists my attempts to invert its direction e.g. by changing limits
using matplotlib.pyplot.ylim (Traceback below). I found a quite old
entry in stackoverflow which is most probably outdated, at least the
proposed solution did not work for me...
(http://stackoverflow.com/questions/5804969/displaying-an-inverted-vertical-date-axis).
Since the longish traceback seems to try to tell me I did not
understand
some kind of important - even trivial - point about those
datetime-axis
maybe some of you came about this problem before?
Thanks, Gerd
P.S.: Traceback after trying to use something like
"matplotlib.pyplot.ylim(ymax,ymin)":
> Traceback (most recent call last):
> File "C:\Users\gwellenr\Desktop\Test_Sabine\Plot_csv.py", line
187,
> in <module>
> matplotlib.pyplot.savefig(save_path+'test.png')
> File "C:\Python27\lib\site-packages\matplotlib\pyplot.py",
line 561,
> in savefig
> return fig.savefig(*args, **kwargs)
> File "C:\Python27\lib\site-packages\matplotlib\figure.py", line
> 1421, in savefig
> self.canvas.print_figure(*args, **kwargs)
> File "C:\Python27\lib\site-packages\matplotlib\backend_bases.py",
> line 2220, in print_figure
> **kwargs)
> File
> "C:\Python27\lib\site-packages\matplotlib\backends\backend_agg.py",
> line 505, in print_png
> FigureCanvasAgg.draw(self)
> File
> "C:\Python27\lib\site-packages\matplotlib\backends\backend_agg.py",
> line 451, in draw
> self.figure.draw(self.renderer)
> File "C:\Python27\lib\site-packages\matplotlib\artist.py",
line 55,
> in draw_wrapper
> draw(artist, renderer, *args, **kwargs)
> File "C:\Python27\lib\site-packages\matplotlib\figure.py", line
> 1034, in draw
> func(*args)
> File "C:\Python27\lib\site-packages\matplotlib\artist.py",
line 55,
> in draw_wrapper
> draw(artist, renderer, *args, **kwargs)
> File "C:\Python27\lib\site-packages\matplotlib\axes.py", line
2086,
> in draw
> a.draw(renderer)
> File "C:\Python27\lib\site-packages\matplotlib\artist.py",
line 55,
> in draw_wrapper
> draw(artist, renderer, *args, **kwargs)
> File "C:\Python27\lib\site-packages\matplotlib\axis.py", line
1091,
> in draw
> ticks_to_draw = self._update_ticks(renderer)
> File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 945,
> in _update_ticks
> tick_tups = [t for t in self.iter_ticks()]
> File "C:\Python27\lib\site-packages\matplotlib\axis.py", line 889,
> in iter_ticks
> majorLocs = self.major.locator()
> File "C:\Python27\lib\site-packages\matplotlib\dates.py", line
802,
> in __call__
> self.refresh()
> File "C:\Python27\lib\site-packages\matplotlib\dates.py", line
820,
> in refresh
> self._locator = self.get_locator(dmin, dmax)
> File "C:\Python27\lib\site-packages\matplotlib\dates.py", line
896,
> in get_locator
> raise ValueError('No sensible date limit could be found in the '
> ValueError: No sensible date limit could be found in the
AutoDateLocator.
------------------------------------------------------------------------------
Want excitement?
Manually upgrade your production database.
When you want reliability, choose Perforce.
Perforce version control. Predictably reliable.
http://pubads.g.doubleclick.net/gampad/clk?id=157508191&iu=/4140/ostg.clktrk
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
<mailto:Matplotlib-users@lists.sourceforge.net>
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
------------------------------------------------------------------------------
Want excitement?
Manually upgrade your production database.
When you want reliability, choose Perforce.
Perforce version control. Predictably reliable.
http://pubads.g.doubleclick.net/gampad/clk?id=157508191&iu=/4140/ostg.clktrk
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
