Just posted some small code under
https://github.com/matplotlib/matplotlib/issues/3522
I guess the formatting is not up to standards, but I did not find
another way to attach the code...
Cheers, Gerd
On 16.09.2014 15:29, Benjamin Root wrote:
Perhaps something is odd with the date values you
Perhaps something is odd with the date values you have? Can you make an
SSCCE (sscce.org)that demonstrates the problem? There is definitely some
sort of bug at play here.
Cheers!
Ben Root
On Tue, Sep 16, 2014 at 9:20 AM, Gerd Wellenreuther <
gerd.wellenreut...@xfel.eu> wrote:
> Tried this befor
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
matplotlib.pyplot.savefig
I would still consider this to be a bug, though. Gerd, could you please
file a bug report?
Cheers!
Ben Root
On Tue, Sep 16, 2014 at 7:45 AM, 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
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 conve
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). Unfortunat
